LIST OF PUBLICATIONS
This list contains publications by Enso Ikonen (Dr.
Tech.) as by May 14, 2025.
Publications in Google Scholar:
https://scholar.google.fi/citations?user=kmkvkpsAAAAJ&hl=fi
Scopus Author ID: 56235454000: https://www.scopus.com/authid/detail.uri?authorId=56235454000
Publications in ORCiD: http://orcid.org/0000-0002-8975-2940
Webof Science ResearcherID G-9712-2012 https://publons.com/researcher/2711686/enso-ikonen/
Table of Contents
A1 Peer-revieWed scientific Articles – journal articles
A2 Chapters in scientific books
B Non-refereed scientific articles
D publications for professional communities
I audiovisual material, ICT software
1.
Vasara, J., I. Selek and E.
Ikonen (2025) Hybrid power plant in FCR-N production: an analysis of turbine
stress reduction with an LTI filter. Electric Power Systems Research, 293
(Feb 2025). https://doi.org/10.1016/j.epsr.2024.111243
2.
Vasara, J., I. Selek and E.
Ikonen (2024) Sizing of energy storage for hybrid power plants aiming for turbine
stress reduction under FCR-N requirements. Journal of Energy Storage, 103
(Dec 2024) https://doi.org/10.1016/j.est.2024.114220
3.
Ikonen, E., M. Liukkonen, A. Hansen, M. Edelborg, O.
Kjos, I. Selek and A. Kettunen (2023) Fouling monitoring in a circulating
fluidized bed boiler using direct and indirect model-based analytics. Fuel, 346,
pp. 128341. https://doi.org/10.1016/j.fuel.2023.128341
4.
Johansen, S. T., P. Unal, Ö. Albayrak, E.
Ikonen, K. J. Linnestad, S. Jawahery, A.
K. Srivastava, B. T. Løvfall (2023) Hybrid and Cognitive Digital Twins for the
Process Industry. Open Engineering, 23, pp. 1–13 https://doi.org/10.1515/eng-2022-0418
5.
Ikonen, E. and I. Selek (2021) Fusing Physical
Process Models with Measurement Data Using FIR Calibration. Control
Engineering and Applied Informatics, 23 (2), pp. 67–76.
6.
Selek, I. and E. Ikonen (2020). Fundamental
limitations of the decay of generalized energy in controlled (discrete-time) nonlinear
systems subject to state and input constraints. International Journal of Applied Mathematics and Computer Science, 29 (4), 629–639.
7.
Hultgren, M., E. Ikonen and J. Kovacs (2019) Integrated
Control and Process Design for Improved Load Changes in Fluidized Bed Boiler
Steam Path. Chemical Engineering Science,
199, pp. 164–178.
8.
Selek, I. and E. Ikonen (2019) Role of
specific energy in the decomposition of time-invariant least-cost
reservoir filling problem. European
Journal of Operational Research, 272
(2), pp. 565–573 DOI: 10.1016/j.ejor.2018.06.052
9.
Hultgren, M., E., Ikonen and J. Kovacs (2017) OTU-CFB boiler control design with the dynamic relative gain array and
partial relative gain. Industrial &
Engineering Chemistry Research, 56
(48), pp. 14290–14303. doi: 10.1021/acs.iecr.7b03259
10.
Ikonen, E. (2017) Active suspension control with
state estimation using finite Markov chains. International Journal of Advanced Mechatronic Systems 7 (3) 183–192.
11.
Ikonen, E., I. Selek and K. Najim (2016) Process
control using finite Markov chains with iterative clustering. Computers & Chemical Engineering, 93, 293–308.
12.
Ikonen, E., I. Selek, J. Kovacs & M. Neuvonen
(2016). Examination of operational optimization at Kemi
district heating network. Thermal Science
20 (2), pp 667–678. doi:10.2298/TSCI131119039I
13.
Niva, L., E. Ikonen and J.
Kovács (2015). Self-optimizing control structure design in
oxy-fuel circulating fluidized bed combustion, International Journal of Greenhouse Gas Control, 43, 93–07.
14.
Pietilä, J., A. Yli-Korpela,
O. Timonen and E. Ikonen (2015) Monitoring and control of chip quality in
chemical pulping. Nordic Pulp and
Paper Research Journal, 30 (1),
pp. 149–159. doi:
10.3183/NPPRJ-2015-30-01-p149-159
15.
Hultgren, M., E. Ikonen, J.
Kovács, (2014) Oxidant Control and Air-Oxy Switching Concepts for CFB Furnace
Operation. Computers & Chemical
Engineering, 16, pp 203–219. (http://dx.doi.org/10.1016/ j.compchemeng.2013.10.018).
16.
Ikonen, E., J. Kovacs and J. Ritvanen (2013)
Circulating fluidized bed hot loop analysis, tuning and state-estimation. International Journal of Innovative Computing,
Information and Control, 9 (8) ,
pp. 3357–3376.
17.
Selek, I., J. Bene and E. Ikonen (2013) Utilizing
permutational symmetries by dynamic programming – Application for the optimal
control of water distribution systems under water demand uncertainties. International Journal of Innovative Computing,
Information and Control, 9 (8),
pp. 3091–3114.
18.
Tervaskanto, M., A. Yli-Korpela, S. Luukkainen, O.
Timonen and E. Ikonen (2012). Identification and monitoring of failure pathways in
a chemical pulping line. Nordic Pulp and
Paper Research Journal, 27 (3),
pp. 568–576.
19.
Ikonen, E, I. Selek and J. Bene (2012). Optimization of pumping schedules using the genealogical decision tree
approach. Chemical Product and Process
Modeling, 7 (1), 1–25. DOI: 10.1515/1934-2659.1629
20.
Ikonen, E. and K. Najim (2009). Multiple model based
control using finite controlled Markov chains. Cognitive Computation, 1
(3), pp. 234–243.
21.
Ikonen, E., E. Gómez-Ramírez and K. Najim (2009).
Process regulation via genealogical decision trees. Optimal Control Applications and Methods, 30 (2), pp. 121–133. (published on-line 2008, DOI 10.1002/oca.848)
22.
Ikonen, E. and K. Najim (2008). On-line optimization
of replacement policies using learning automata. International Journal of Systems Science, 39 (3), pp. 237–249.
23.
Najim, K., E. Ikonen and E. Gómez-Ramírez (2008).
Trajectory tracking control based on a genealogical decision tree controller
for robot manipulators International Journal of Innovative
Computing, Information and Control, 4
(1), pp. 53-62.
24.
Gómez-Ramírez, E., K. Najim and E. Ikonen (2007).
Forecasting time series with a new architecture for polynomial artificial
neural network. Applied Soft Computing,
7, pp. 1207–1216.
25.
Najim, K., E. Ikonen and P. Del Moral (2006).
Open-loop regulation and tracking control based on a genealogical decision
tree. Neural Computing &
Applications, 15, no. 3/4, pp.
339–349.
26.
Najim, K., A. Poznyak and E. Ikonen (2004).
Optimization based on a team of automata with binary outputs. Automatica, 40(8), pp. 1349–1359.
27.
Ikonen, E. and K. Najim (2004). Process
identification using distributed Wiener logic processors. Differential Equations & Dynamical Systems, 12, no. 1-2, pp. 171–194.
28.
Najim, K., P. Del Moral and E. Ikonen (2004) An improved
version of the McMurtry-Fu reinforcement learning scheme. International Journal of Systems Science, 34, no. 1, pp. 37–47.
29.
Ikonen, E. and K. Najim (2001). Non-linear process
modelling based on a Wiener approach. Journal
of Systems and Control Engineering - Proceedings of the Institution of Mechanical Engineers Part I, 215, pp.15–27.
30.
Ikonen, E. and P. Heikkinen (2000) Modeling of pulp
flow rate with variable consistency. Neural
Computing & Applications, 9,
no. 3, pp. 165–171.
31.
Ikonen, E., K. Najim and U. Kortela (2000). Neuro-fuzzy
modelling of power plant flue-gas emissions. Engineering Applications of Artificial Intelligence, 13, no. 6, pp. 705–717.
32.
Najim, K. and E. Ikonen (1999). Distributed logic
processors trained under constraints using stochastic approximation techniques.
IEEE Transactions on Systems, Man and
Cybernetics Part A: Systems and Humans, 29, no. 4, pp. 421–426.
33.
Ikonen, E. and K. Najim. (1997). Use of learning
automata in distributed fuzzy logic processor training. IEE Proceedings - Control Theory and Applications, 144, no. 3, pp. 255–262.
34.
Najim, K., A. Poznyak, and E. Ikonen. (1996)
Calculation of residence time for nonlinear systems. International Journal of Systems Science. 27, no. 7, pp. 661–667.
35.
Ikonen, E. and K. Najim. (1996). Fuzzy neural
networks and application to the FBC process. IEE Proceedings - Control Theory and Applications, 143, no 3, pp. 259–269.
36.
Poznyak, A., K. Najim and E. Ikonen. (1996).
Adaptive selection of the optimal model order of linear regression models using
learning automata. International Journal
of Systems Science, 27, no 2,
pp. 151–159.
37.
Kortela, U., E. Ikonen, H. Kotajärvi and P.
Heikkinen (1994). Modelling, simulation and control of fluidized bed combustion process. International Journal of Power and Energy
Systems, 14, no 3, pp. 92–97.
38.
Ikonen, E. and U. Kortela (1994). Dynamic model for
a bubbling fluidized bed coal combustor. Control
Engineering Practice, 2, no. 6,
pp. 1001–1006.
39.
Ikonen, E. and K. Leppäkoski (2010). Model-based
multivariable control of a secondary air system using Markov chains. In P.
Szentannai (Ed.) Power Plant Applications
of Advanced Control Techniques (invited), ProcessEng, Vienna, pp. 163-180. ISBN978-3-902655-11-0.
40.
Ikonen, E and J. Kovacs
(2007). Learning control of fluidized bed combustion processes for power
plants. In: S. Kalogirou (Ed.), Artificial
Intelligence in Energy and Renewable Energy Systems, Nova Publishers, 12, pp. 395-438. (invited) ISBN:
1-60021-261-1
41.
Ikonen, E., U. Kortela and K. Najim (2002). Distributed logic
processors in process identification. In: C. Leondes (Editor) Expert Systems, 5, Academic Press, pp. 1457-1495. (invited)
42.
Dimirovski, G., A. Dourado, E. Ikonen, U. Kortela,
J. Pico, B. Ribeiro, M. Stankovski and E. Tulunay (2001) Learning control of thermal systems. In: K. Åström, P. Albertos, M.
Blanke, A. Isidori, W Schaufelberger and R. Sanz (Eds.) Control of Complex Systems, Springer-Verlag, London, pp. 317–338
(invited).
43. Ikonen, E., T. Liedes and J.
Vasara (2023). Model
predictive controlled subsurface drainage and irrigation for peatland
groundwater management. 22nd IFAC World Congress, 9-16 July
2023, Yokohama, Japan, pp 10622-10627.
44.
Ikonen, E., J. Torvela, M.
Törmälä, J. Savela, M. Pylvänäinen, J. Vasara and T. Liedes (2023) Subsurface
drainage and irrigation automation for cultivated land
groundwater management. Automation Days / Automaatiopäivät, Helsinki, Finland,
28-29 March 2023.
45.
Vasara,
J., I. Selek and E. Ikonen (2022) Stress reduction of turbine units in hybrid
power plants: an operational perspective. 10th International
Conference on Control, Mechatronics and Automation (ICCMA 2022),
Luxembourg.
46. Neuvonen, M., I. Selek, E. Ikonen and L.
Aho (2022) Heat exchanger fouling estimation for combustion–thermal power
plants including load level dynamics. IEEE International Conference on Systems,
Man, and Cybernetics (IEE SMC 2022), Prague.
47.
Selek,
I., J. Vasara and E. Ikonen (2022) Generalized orthogonalization: a unified
framework for Gram-Schmidt orthogonalization, SVD and PCA. IEEE International
Conference on Systems, Man, and Cybernetics (IEE SMC 2022), Prague.
48.
Liukkonen, M., A. Kettunen, J. Miettinen, E.
Ikonen, I. Selek, M. Neuvonen, A. Hansen and M. Edelborg (2022). Hybrid Modelling Approach to Optimize Fouling Management in a
Circulating Fluidized Bed Boiler. Fluidized bed conversion conference 2022
(FBC24), 8–11 May 2022, Gothenburg.
49.
Ikonen, E., M. Neuvonen, I. Selek, M. Salo and M.
Liukkonen (2022). On-line estimation of circulating fluidized bed
boiler fuel composition. 13th UK Automatic Control Council (UKACC)
International Conference (CONTROL2022), 22–24 April 2022, Plymouth, UK. DOI: 10.1109/Control55989.2022.9781460
50.
Neuvonen, M., I. Selek and E. Ikonen (2021) Estimating Fuel
Characteristics from Simulated Circulating Fluidized Bed Furnace Data. Int. Conf. on Systems and
Control (ICSC’21), 24–26 Nov 2021, Caen, France, 2021, pp. 107–112.
51.
Vasara, J., I. Selek and E. Ikonen (2021) Asymptotic analysis of a control–oriented
open channel flow model. Int.
Conf. on Systems and Control (ICSC’21), 24–26 Nov 2021,
Caen, France, 2021, pp. 223–228.
52.
Ikonen. E and I. Selek
(2020) Calibration of physical models with process data
using FIR filtering. The 2020 Australian and New Zealand Control Conference
(ANZCC 2020), 26-27 Nov 2020, Gold Coast, Australia.
53. Selek, I. and E.
Ikonen (2018) On the bounds of the fastest admissible decay of generalized
energy in controlled LTI systems subject to state and input constraints. 15th International Conference on Electrical
Engineering, Computing Science and Automatic Control (IEEE CCE 2018), 5-7
Sept 2018, Mexico City.
54.
Ikonen, E. and I. Selek (2018) Dynamic modelling and
optimization of a supermarket CO_2 refrigeration system for demand side
management. 15th International
Conference on Electrical Engineering, Computing Science and Automatic Control
(IEEE CCE 2018), 5-7 Sept 2018, Mexico City.
55.
Rankinen, A., E. Ikonen and T. Liedes (2018)
Validation of a nonlinear two-dimensional MacPherson suspension system model
with multibody simulations. International
Conference on Mechatronic and Embedded Systems and Applications (IEEE ASME
MESA 2018), 2-4 July, Oulu, Finland
56.
Ikonen, E., I. Selek and K. Najim (2017). Finite state
estimation of a multi-input CSTR benchmark. 20th
IFAC World Congress, 9-16 Jul 2017, Toulouse.
57.
Hultgren, M., E. Ikonen and J. Kovacs (2017). Integrated control and process
design in CFB boiler design and control – application possibilities. 20th IFAC World Congress,
9-16 Jul 2017, Toulouse.
58.
Niva, L., M. Hultgren, E. Ikonen and J. Kovacs (2017). Control structure
design for oxy-fired circulating fluidized bed boilers using self-optimizing
control and partial relative gain analyses. 20th
IFAC World Congress, 9-16 Jul 2017, Toulouse.
59.
Selek I., Kovacs J., Ikonen
E. and A. Kettunen (2017) COMBO-CFB: Integration of concentrated solar power
with circulating fluidized bed power plants. 12th International Conference on Fluidized Bed Technology (CFB-12)
23-26 May, Krakow, Poland.
60.
Ikonen, E., K. Najim and A.
Garcia-Cerezo (2016) MacPherson suspension system modeling and control with
MDP. IEEE Symposium
Series on Computational Intelligence, Symposium on Computational Intelligence
in Control and Automation (IEEE SSCI CICA),
6-9 Dec 2016, Athens.
61.
Selek, I., E. Ikonen and Cs. Hös (2016) Tube-based
robust MPC for pump scheduling in water distribution systems. IEEE Int. Conf on Systems Man and
Cybernetics, 9-12 Oct 2016 Budapest.
62.
Hultgren, M., J. Kovacs and E. Ikonen (2015)
Combustion control in oxy-fired circulating fluidized bed combustion. The 22nd International conference
on fluidized bed conversion, 14-15 June 2015, Turku, Finland.
63.
Kovács, J., A. Kettunen, E. Ikonen,
M. Hultgren, L. Niva (2015) Addressing the challenge of fast load change
requirements. The 22nd
International conference on fluidized bed conversion, 14-15 June 2015,
Turku, Finland.
64.
Niva, L., E. Ikonen and J.
Kovacs (2015) Control structure decisions in a dual-model pilot CFB boiler
based on self-optimizing control. XXI
automaatioseminaari, 17-18 March 2015, Helsinki.
65.
Niva, L. E. Ikonen and J. Kovacs (2015). Plant wide
control approach in a pilot CFB. 2015
IEEE International Conference on Industrial Technology (ICIT 2015), 17-19
March 2015, Sevilla, Spain, pp. 411-416,
66.
Hultgren, M., E. Ikonen and J. Kovacs (2014). Circulating
Fluidized Bed Boiler State Estimation with an Unscented Kalman Filter Tool. IEEE Systems and Control, 8-10 Oct 2014,
Antibes, France.
67. Ikonen, E., I.
Selek, J. Kovacs, M. Neuvonen, Z. Szabo, J. Bene and J. Peurasaari (2014) Short term
optimization of district heating network supply temperatures. IEEE
EnergyCon 2014, Dubrovnik, Croatia, 13-16 May, 2014.
68.
Tervaskanto, M., A. Yli-Korpela, E. Ikonen (2012)
Study of consistency modeling and control in chemical and mechanical pulping
processes. Control Systems 2012, New
Orleans, 22-25 April 2012.
69.
Yli-Korpela, A., M. Tervaskanto, O. Timonen, S.
Luukkainen, E. Ikonen (2012) Identification of runability failures in
continuous cooking. Control Systems 2012,
New Orleans, 22-25 April 2012.
70.
Ikonen, E., J. Kovacs, H. Aaltonen, J. Ritvanen. I. Selek and A.
Kettunen (2012) Analysis and tuning of a CFB model using particle filtering. 8th IFAC Power Plants and Power
Systems Control Symposium (PPPSC2012), Toulouse 2-5 Sept 2012.
71.
Luna, J.C., E.Gomez-Ramirez,
K. Najim and E.Ikonen. (2011) Forecasting time series with a logarithmic model
for the polyniomial artificial neural networks. International Joint Conference on Neural Networks (IJCNN 2011), 31
July – 5 August, 2011, San Jose, CA, USA.
72.
Ikonen, E and J. Bene (2011). Scheduling and
disturbance control of a water distribution network. IFAC World Congress 2011, 28 Aug – 2 Sept 2011, Milano, Italy.
73.
Ahvenlampi, T., T. Malmi and E. Ikonen (2010)
Modelling and simulation of continuous cooking process. 51st Conference on Simulation and Modelling (SIMS 2010),
14-15 Oct 2010, Oulu, Finland.
74.
Ahvenlampi, T. and E. Ikonen (2010) Literature
survey on development of O&M solutions with integration of condition and
process monitoring. 51st
Conference on Simulation and Modelling (SIMS 2010), 14-15 Oct 2010, Oulu,
Finland.
75.
Ahvenlampi, T., P. Leinonen, M. Aunio and E.
Ikonen (2010). Monitoring of turbine conditions with integration of condition monitoring
and process measurements in industrial application. 51st Conference on Simulation and Modelling (SIMS 2010),
14-15 Oct 2010, Oulu, Finland.
76.
Ikonen, E and J. Bene (2010). Optimal control of
pumps in water distribution network under demand uncertainties. Conference on Simulation and Modelling
(SIMS 2010), 14-15 Oct 2010, Oulu, Finland.
77.
Tervaskanto, M and E. Ikonen (2010). Multivariable
generalized predictive control of CTMP refining. Control Systems Conference, 15-17 Sept 2010, Stockholm, Sweden.
78.
Ahvenlampi, T., T. Malmi, M. Liedes and E. Ikonen
(2010) Energy efficient control techniques in continuous cooking application. IFAC Conference on Control Methodologies and
Technology for Energy Efficiency (CMTEE 2010), 29-31 Mar 2010, Vilamoura,
Portugal.
79.
Ikonen, E., I. Selek and M. Tervaskanto (2010). Short-term pump
schedule optimization using MDP and neutral GA. IFAC Conference on Control Methodologies and Technology for Energy
Efficiency (CMTEE 2010), 29-31 Mar 2010, Vilamoura, Portugal.
80.
Tervaskanto, M, E. Ikonen and T. Ahvenlampi
(2009). Refiner quality control in a CTMP plant. The 7th IEEE International
Conference on Control and Automation (ICCA’09), 9-11 Dec 2009,
Christchurch, New Zealand, 1266-1271.
81.
Ikonen, E. (2009). Gain scheduling control with
Markov transition models. The 7th
IEEE International Conference on Control
and Automation (ICCA’09), 9-11 Dec 2009, Christchurch, New Zealand,
258-263.
82.
Ikonen, E., M. Tervaskanto and K. Najim (2009). Analysis of students’ study
paths using finite Markov chains. The
7th IEEE Intenational
Conference on Control and Automation (ICCA’09) , 9-11 Dec 2009,
Christchurch, New Zealand, 1813-1818.
83.
Ikonen, E, K. Leppäkoski and U. Kortela (2009). Model-based
multivariable secondary air control using controlled finite Markov chains. IFAC Power Plants and Power Systems Control
(PP&PSC’09), Tampere, 5-8 July 2009.
84.
Ikonen, E and U. Kortela (2008). Adaptive process
control using controlled finite Markov chains based on multiple models. 17th IFAC World Congress, 6-11 July 2008, Seoul,
Korea, pp. 7919–7924.
85.
Ikonen, E, K. Najim and U. Kortela (2007). State estimation
and predictive control using finite Markov chains. IFAC Workshop on Advanced
Fuzzy and Neural Control (AFNC'07), 29-30 Oct 2007, Valenciennes, France.
86.
Ikonen, E. (2007). Model-based process control via
finite Markov chains. 9’th IFAC Workshop
on Adaptation and Learning in Control and Signal Processing (ALCOSP’07),
29-31 Aug 2007, St-Petersburg, Russia. (available at open library
http://lib.physcon.ru)
87.
Ikonen, E. (2007). Process control using controlled
finite Markov chains with an application to a multivariable hybrid plant. 4 th International Conference on
Informatics in Control, Automation and Robotics (ICINCO'07), 9-12 May 2007,
Angers, France.
88.
Ikonen, E.,
E. Gómez-Ramírez and K. Najim (2006). Trajectory following and
regulation of chemical batch reactors via genealogical decision trees. 1st IFAC Workshop on Applications of Large
Scale Industrial Systems (ALSIS’06), 30-31 August 2006, Helsinki –
Stockholm, Finland – Sweden.
89.
Ikonen, E., K. Najim and P. Del Moral (2005).
Application of genealogical decision trees for open-loop tracking control. 16th IFAC World Congress, 4-8 July, 2005, Prague, Czech.
90.
Mononen, J. and E. Ikonen (2005). Modelling of an
integrated superheater based on a Wiener approach. 16th IFAC World Congress, 4-8 July, 2005, Prague, Czech.
91.
Mononen, J., E. Ikonen and M. Paloranta (2004). Identification of
an integrated superheater using Wiener models. Power and Energy Systems (PES 2004), 28 Nov - 1 Dec 2004,
Clearwater Beach, Florida, U.S.A.
92.
Ikonen, E., P. Del Moral and K. Najim (2004). A
genealogical decision tree solution to optimal control problems. IFAC Workshop on Advanced Fuzzy/Neural
Control (AFNC'04), 16-17 September, 2004, Oulu, Finland.
93.
Ikonen, E (2004). Learning predictive control using
probabilistic models. IFAC Workshop on
Advanced Fuzzy/Neural Control (AFNC'04), 16-17 September, 2004, Oulu,
Finland.
94.
Leppäkoski, K., M. Paloranta and E. Ikonen (2004).
Comparing
two nonlinear structures for secondary air process modelling. Control 2004, 6-9 September 2004, Bath,
U.K.
95.
Ikonen, E., K. Najim, D. Aït-Kadi and U. Kortela
(2003). Finding an optimal replacement policy in a
multi-teacher environment using learning automata. Third Triennial Conference on Applied Automation
Systems (AAS 2003), 18-20 September, 2003, Ohrid, Republic of Macedonia, pp.
59-68 (invited paper)
96.
Ikonen, E., K. Najim and D. Aït-Kadi (2003). Learning automata
in maintenance optimization. Int. Conf.
Industrial Engineering and Production Management (IEPM'03), 26–28 May,
2003, Porto, Portugal.
97.
Ikonen, E. (2003) Optimization using learning
automata and confidence probabilistics. Preprints
Intelligent Control Systems and Signal Processing (IFAC ICONS 2003), 8–11
April, 2003, Faro, Portugal, pp. 197–202.
98.
Ikonen, E., K. Najim and U. Kortela (2002). Distributed
Wiener logic processors. 15th
IFAC World Congress, July 21–26, 2002, Barcelona, Spain.
99.
Najim, K. A.S. Poznyak and E. Ikonen (2002). Learning automata-based optimization
in a binary coded search space. 15th
IFAC World Congress, July 21–26, 2002, Barcelona, Spain.
100.
Ikonen, E., K. Najim and U. Kortela (2002). Direct inverse
control using learning automata. Advanced
Fuzzy-Neural Control 2001 (Proceedings of the IFAC AFNC'01), Elsevier.
101.
Gómez-Ramirez, E., P. L. Najim and E. Ikonen (2002).
Stochastic learning control for nonlinear systems. International Joint Conference on Neural Networks 2002 (IJCNN'02),
May 12–17, 2002, Honolulu, Hawaii, U.S.A., pp. 171–176.
102.
Gómez-Ramirez, E., P. L. Najim and E. Ikonen (2001).
Learning control for nonlinear systems. IASTED
International Conference on Intelligent Systems and Control (ISC 2001),
November 19–22, 2001, Clearwater (Tampa), Florida, USA, pp. 354–359.
103.
Ikonen, E., K. Najim and U. Kortela (2001). Direct inverse
control using learning automata. IFAC
Workshop on Advanced Fuzzy-Neural Control (Preprints) (AFNC'01), October
15–16, 2001, Valencia, Spain, pp. 105-110.
104.
Najim, K., E. Ikonen and U. Kortela (2001). Process
identification based on constrained Wiener models. IFAC DECOM - Workshop on Automatic Systems for Building Infra-Structure
in Developing Countries, May 21–23, 2001, Lake Ohrid, Macedonia, pp. 29-34.
(invited)
105.
Ikonen, E. (2001) Distributed fuzzy Hammerstein
modelling. Proceedings of TOOLMET '01
Symposium, Oulu, Finland, pp. 82–90.
106.
Ikonen, E. (2000) Control of a pH neutralization
process using Wiener systems. Proceedings
of TOOLMET 2000 Symposium, Oulu, Finland, pp. 90–101.
107.
Ikonen, E., K. Najim and U. Kortela (2000). Process
identification using Hammerstein systems. IASTED
International Conference on Modelling, Identification and Control MIC 2000,
Innsbruck, Austria, pp. 247-251.
108.
Ikonen, E. and K. Najim (1999). Identification of
Wiener systems with steady-state non-linearities. European Control Conference ECC’99, Karlsruhe, Germany, F-1036-1.
(invited)
109.
Ikonen, E., K. Najim and U. Kortela (1999). Identification of
non-linear processes using steady-state models with linear FIR dynamics. IFAC World Congress ’99, Beijing, China,
vol. H, pp. 49-54.
110.
Najim, K., E. Ikonen and U. Kortela (1999). On the use of
adaptive learning systems with changing number of actions for optimization and
control. IFAC World Congress ’99,
Beijing, China, vol. I, pp. 457-462.
111.
Ikonen, E. and P. Romsi. (1998) Modeling of pulp
flow rate with variable consistency. Fourth
International Conference on Engineering Applications of Artificial Neural
Networks EANN’98, Gibraltar, pp. 205–208.
112.
Ikonen, E. (1998). Stochastic learning automata for
learning in fuzzy systems. Preprints of
TOOLMET ’98 Symposium, Oulu, Finland, pp. 135–144.
113.
Ikonen, E., K. Najim and U. Kortela (1997). Constrained
training of a fuzzy logic processor. Proceedings
of the IASTED Int. Conf. Control ‘97, Cancun, Mexico, pp. 179–182.
114.
Ikonen, E. (1997). The bias-variance dilemma with
logic processors. Proceedings of TOOLMET
’97 Workshop, Oulu, Finland, pp. 131–136.
115.
Ikonen, E., P. Heikkinen and U. Kortela (1996). Modelling of a
pump-valve system using neural and fuzzy approaches. Fourth European Congress on Intelligent Techniques and Soft Computing (EUFIT
‘96), Aachen, Germany, vol. 2, pp.
720–724.
116.
Ikonen, E., K. Najim and U. Kortela. (1996). Modelling
of NOx emissions based on a fuzzy logic neural network. IFAC World Congress '96, San Francisco,
U.S.A., vol. O, pp. 61–66.
117.
Ikonen, E., K. Najim and U. Kortela (1996). Fuzzy logic
processor training based on learning automata. 2nd World Automation Congress '96, Montpellier, France, vol. 4,
pp. 319–324. (invited)
118.
Ikonen, E. and P. Heikkinen (1996). Distributed logic
processor modelling of the variable speed pump and control valve system. Proceedings of TOOLMET ’96 Workshop,
Oulu, Finland, pp. 87–98.
119.
Ikonen, E. and U. Kortela (1995). Intelligent
on-line modelling of non-linear processes. European
Control Conference (ECC'95), Rome, Italy, vol. III, pp. 2414–2419.
120.
Ikonen, E. and U. Kortela (1995). On-line modelling
using adaptive training prototypes with an application to the fluidized-bed
combustion process. IFAC Symp. on Power
Plants and Power Systems (SIPOWER'95), Cancun, Mexico, vol. II, pp. 113–118.
121.
Heikkinen, P., E. Ikonen and U. Kortela (1995). Aikavarianttien
dynaamisten prosessien on-line identifiointi. Automaatiopäivät '95, Espoo,
Finland, vol I, pp. 217–222 (in Finnish)
122.
Ikonen, E., P. Heikkinen and U. Kortela (1994). On-line
identification of non-linear dynamic processes. 13th IASTED International Conference on Modelling, Identification and
Control MIC 1994, February 21-23, 1994, Grindelwald, Switzerland, pp.
325–328.
123.
Ikonen, E. and U. Kortela (1994). Recursive
identification of non-linear time-variant dynamic systems by neural time-series
models. Proceedings of the 25th ISCIE Symposium on Stochastic System
Theory and Its Applications, November 10-12, 1993,Osaka, Japan, pp.
181–186.
124.
Ikonen, E. and U. Kortela (1993). Recursive
non-linear identification of time-variant dynamic systems by neural time-series
models. Preprints of the 25th ISCIE
Symposium on Stochastic System Theory and Its Applications, November 10-12,
1993, Osaka, Japan, pp. 127–129.
125.
Kortela, U., E. Ikonen, H. Kotajärvi and P.
Heikkinen (1993). Leijukerroskattilan petivaraston estimointi ja palamisen
hallinta. Automaatiopäivät ‘93, Espoo, Finland. (in Finnish)
126.
Kotajärvi, H., E. Ikonen, U. Kortela, P. Ryd and
B. Leckner (1993). Combustion power control at a 12 MW circulating fluidized bed
combustor. Swedish-Finnish FLAME-days
1993. Gothenburg, Sweden.
127.
Ikonen, E. and U. Kortela (1993). Dynamic model for
a fluidized bed coal combustor (including bed fuel inventory). Preprints of the 12th IFAC World Congress 1993,
Sydney, Australia, vol. 4, pp.
241–244.
128.
Kortela, U., E. Ikonen, H. Kotajärvi and P.
Heikkinen (1993). Modeling, simulation and control of fluidized bed combustion process. 12th IASTED International Conference on
Modelling, Identification and Control MIC 1993. Innsbruck, Austria.
129.
Kortela, U., J. Hiltunen, I. Trast and E. Ikonen
(1991). Fuel inventory and combustion control in fluidized bed boilers. International Conference on Power System
Technology, Beijing, China, 610–617.
1.
Selek, I. and E. Ikonen
(2018) Estimation of the regulating power potential of the grocery store
S-Market Tuira. Nordic Process Control
Workshop, Turku, Finland (abstract).
2.
Hultgren, M., A. Roine, M.
Hietala, R. Wahlström, E. Ikonen and J. Kovacs (2018) Improved OTU-CFB boiler
control and process design through closed-loop simulation. Nordic Process Control Workshop, Turku, Finland (abstract).
3.
Hultgren, M., J. Kovacs and
E. Ikonen (2016) Spray Flow Design for Once-through Circulating Fluidized Bed
Boiler Control. Nordic Process Control
Workshop, Stockholm, Sweden (abstract).
4.
Selek, I., J. Kovacs and E.
Ikonen (2016) Process design of solar-fossil power plant integration including
control aspects. Nordic Process Control
Workshop, Stockholm, Sweden (abstract).
5.
Hultgren, M, J. Kovacs and
E. Ikonen (2015) Relative gain measures for once-through circulating fluidized
bed boiler control design. Nordic Process
Control Workshop, 15-16 Jan 2015, Trondheim-Bodö, Norway.
6.
Ikonen, E and J. Kovacs (2013). A nonlinear filtering tool for analysis of hot-loop test campaigns. 3rd Oxyfuel Combustion Conference,
9—13 Sept, 2013, Leon, Spain (3-page abstract)
7.
Yli-Korpela, A., E. Ikonen
(2013) Runability failure analysis of a continuous digester. Nordic Process Control Workshop, 22-23
Aug 2013, Oulu, Finland.
8.
Hultgren, M., J. Kovacs and
E. Ikonen (2013) Input and state estimation tool for dynamic CFB models. Nordic Process Control Workshop, 22-23
Aug 2013, Oulu, Finland.
9.
Ahvenlampi, T. M. Liedes, T.
Malmi and E. Ikonen (2009) Improved control of the cooking process reduces
energy consumption in Kraft pulping. EnePro
Conference, 3 Jun 2009, Oulu, Finland (long abstract), 120-122
10.
Ikonen, E. and K. Leppäkoski
(2009) Artificial intelligence –based modeling and control of fluidized-bed
combustion. Energy Research at the
University of Oulu – Proceedings of
the EnePro conference, 3 Jun 2009, Oulu, Finland (long abstract), 46-49.
11.
Leppäkoski, K. E. Ikonen, I.
Selek, L. Lohiniva, U. Kortela, E. Muurinen, M. Tiainen (2009) An
interdiciplinary approach for improving power plant control. EnePro Conference, 3 Jun 2009, Oulu, Finland
(long abstract), 44-45.
12.
Ikonen, E. (2006) Particle Filtering for Open-Loop
Process Control – A Users’ Guide for a Matlab-Toolbox on Genealogical Decision
Tree-Based Optimization. Systems Engineering Laboratory - Report C-30. February
2006. Oulu, Finland, 56 p. ISSN 0783-5728 ISBN 951-42-8018-0
13.
Najim, K. and E. Ikonen (2002) Analysis of
Stochastic Iterative Algorithms. Systems Engineering Laboratory - Report C-27.
September 2002. Oulu, Finland, 85 p. ISSN 0783-5728 ISBN 951-42-6808-3
14.
Najim, P. L. and E. Ikonen (2001) Modelling and
control of Wiener and Hammerstein Systems: Neural networks and pole placement.
Systems Engineering Laboratory Report - June 2001.
15.
Ikonen, E. (1994). Adaptive control with artificial
neural networks. Seminar work for the licentiate course "Experimental
study on adaptive and self-tuning control methods". Systems Engineering
Laboratory - Report C-16. February 1994. Oulu, Finland, 59 p. ISSN 0783-5728
ISBN 951-42-3840-0
16.
Ikonen, E. and P. Heikkinen (1993). Recursive
Parameter Estimation of Non-linear Dynamic Systems. Systems Engineering
Laboratory - Report C-10. November 1993. Oulu, Finland, 29 p. ISSN 0783-5728
ISBN 951-42-3776-5
17.
Ikonen, E. and H. Kotajärvi (editors) (1993).
Control concept for fluidized bed coal, peat and wood combustion: Optimization
of flue gas emissions, control of process distrurbances and modeling of bed
fuel inventory. Systems Engineering Laboratory - Report C-8. March 1993. Oulu,
Finland. ISSN 0783-5728 ISBN 951-42-3490-1
18.
Ikonen, E. (1993). Typpipäästöjen minimointi
paineistamattomassa leijukerrospoltossa. In: Heino, J. and Sohlo, J.
Ympäristönsuojelutekniikan lisensiaattiseminaari keväällä 1992 - Osa III:
Ilmansuojelu. University of Oulu, Department of Process Engineering, Report 128.
Oulu, Finland. 16 p. ISSN 0356-9039 ISBN 951-42-3529-0
19.
Åström, L., I.V. Kojo, T. Hyppänen, U. Kortela, B.
Leckner, P. Heikkinen, J. Henttonen, J. Hiltunen, S. Holm, E. Ikonen, H.
Kotajärvi, J. Pyykkö, P. Ryd, I. Trast and M. Tuovinen (1993). Control concept
for fluidized bed coal, peat and wood combustion: Optimization of flue gas
emissions, control of process disturbances and modeling of bed fuel inventory.
In Hupa, M. and Matinlinna, J. LIEKKI Combustion Research Program Technical
Review 1988-1992, Report L93-1. Åbo Akademi, Finland, 181–215.
20.
Kojo, I.V., U. Kortela, P. Heikkinen, J.
Henttonen, E. Ikonen, H. Kotajärvi, I. Trast and M. Tuovinen (1992). 5-19. Leijukerroskattilan polttotehon
ja päästöjen hallinta. In: Hupa and Matinlinna. LIEKKI-vuosikirja 1992, Report
L92-1. Åbo
Akademi, Finland, 607–639.
21.
Åström, L., U. Kortela, J. Henttonen, J. Hiltunen,
E. Ikonen, I. Trast and M. Tuovinen (1991). Leijukerroskattilan polttotehon ja
päästöjen hallinta. In: Hupa and Matinlinna. LIEKKI-vuosikirja 1991, Report
L91-1. Åbo
Akademi, Finland, 713–729.
22.
Åström, L., U. Kortela, P. Heikkinen, J.
Henttonen, E. Ikonen and M. Tuovinen (1991). Leijukerroskattilan
palamisolosuhteiden ja päästöjen hallinnan kehittäminen. In: Hupa and
Matinlinna. LIEKKI-vuosikirja 1991, Report L91-1. Åbo Akademi, Finland, 583–590.
23.
Ikonen, E. (1991). Pedin polttoainekertymän
mallintaminen leijukerrospoltossa. (diplomityö). Oulun yliopiston
systeemitekniikan laboratorion julkaisuja, Report A-11, Oulu, Finland, 67 p.
ISSN 0782-7032 ISBN 951-42-3089-2
24.
Trast, I., J. Hiltunen, E. Ikonen and U. Kortela
(1990). Leijukerroskattilan jäännöshiilivaraston kokeellinen mallintaminen.
Oulun yliopiston systeemitekniikan laboratorion julkaisuja, Report A-10. Oulu, Finland, 100
p. ISSN 0782-7032 ISBN 951-42-3002-7
1.
Najim, K., E. Ikonen and D. Aït-Kadi (2004). Stochastic Processes: Estimation, Optimization and Analysis. Kogan Page
Science, London, U.K. (text book) ISBN 1903996554.
2.
Ikonen, E. and K. Najim (2002). Advanced Process Identification and Control, Marcel Dekker Inc.,
New York, U.S.A., 310 p. (text book) ISBN 0-8247-0648-X.
3.
Najim, K. and E. Ikonen (1999) Outils mathématiques pour le génie des
procédés. Dunod Editeur, Paris,
France, 223 p. (text book) ISBN 2 10 004591 1
25.
Ikonen, E., Kovacs, J. Leppäkoski, K. and L.
Lohiniva (2010). Säätö- ja systeemitekniikan näkökulmaa
voimalaitosautomaatioon. Automaatioväylä
7/2010.
26.
Ahvenlampi, T., E. Ikonen and L. Lohiniva (2010). Energiatehokkuutta etsimässä – IFAC CMTEE 29.-31.3.2010, Vilamoura, Portugali
– IFAC Conference on Control Methodologies and Technology for Energy
Efficiency. Automaatioväylä, 25, no 4, p. 42.
27.
Ikonen, E and T. Ahvenlampi (2007). ICINCO 2007 Fourth
International Conference on Informatics in Control Automation and Robotics,
9-12.5.2007, Angers, Ranska. Automaatioväylä,
23, no 4, p 53.
28. Ikonen,
E. and R. Rantanen (2006). IFACin suurten teollisuusjärjestelmäsovellusten
tapahtuma. Automaatioväylä, 22, no 6, pp. 47-48.
29. Ahvenlampi,
T., E. Ikonen, J. Mononen and R. Rantanen (2005). Matkakertomus Prahasta. Automaatioväylä, 21, no. 6, pp. 39-40.
1.
Ikonen, E. (2019). Pientalotonttien rakentamiskehotusprosessin
kehittäminen Oulussa (Improvement of the Reminder to Build Process for Detached Houses in the
City of Oulu). (Bachelor of Engineering thesis, Land Surveying). Lapland
University of Applied Science, Rovaniemi, Finland, 73 p. Theseus http://urn.fi/URN:NBN:fi:amk-2019121626955
(in
Finnish).
2.
Ikonen, E. (1996). Algorithms for process modelling using fuzzy neural networks: A
distributed logic processor approach (Doctoral thesis). Acta Universitatis
Ouluensis, C95, Oulu, Finland. ISBN 951-42-4486-9 ISSN 0355-3213
3.
Ikonen, E. (1994). Artificial Neural Networks and Applications to the Fluidized Bed
Combustion Process (Licentiate thesis). Systems Engineering Laboratory -
Report C-17. April 1994. Oulu, Finland, 155 p. ISSN 0783-5728 ISBN
951-42-3859-1.
30.
Ikonen, E., L. Aho, M.
Neuvonen and I. Selek (2023) COGNITWIN M42 demonstration video: Fouling
management tool.
31.
Ikonen, E., L. Aho, M.
Neuvonen and I. Selek (2023) COGNITWIN M42 video: User’s Guide.
32.
Ikonen, E., L. Aho and M.
Neuvonen (2022) COGNITWIN M30 demonstration video: Fouling monitoring. http://cc.oulu.fi/~iko/COGNITWIN/COGNITWIN_M30demo_UOULU_SFW_HD_wsound.mp4
33.
Ikonen, E. and M. Neuvonen
(2021) COGNITWIN M18 demonstration video: Fuel monitoring. http://cc.oulu.fi/~iko/COGNITWIN/UOULU-SFW-M18-HD.mp4