Palaute ja tiedustelut

Systeemitekniikan laboratorio
Linnanmaa
PL 4300
90014 Oulun yliopisto
Fax: +358 8 553 2439
Puhelin: +358 8 553 1011

posys(at)oulu.fi
http://cc.oulu.fi/~posyswww/

Oulun yliopisto
SYSTEEMITEKNIIKAN LABORATORIO Systems Engineering Laboratory
Systeemitekniikan laboratorion tutkijoiden artikkeleita kansainvälisissä referoiduissa tieteellisissä lehdissä; kappaleita kirjoissa, sekä väitöskirjoja:
Articles in international refereed scientific  journals, book chapters, and theses by the personnel of Systems Engineering Laboratory:

2012

·      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 (accepted).

·       Ikonen, E., I. Selek and J. Bene (2012). Optimization of pumping schedules using the genealogical decision tree approach. Chemical Product and Process Modeling (accepted).

·       Bene, J. and I. Selek (2012). Water network operational optimization: Utilizing symmetries in combinatorial problems by dynamic programming.  Periodica Politechnica Mechanical Engineering (accepted).

·       Bene, J. and Cs. Hős (2012). Finding least-cost pump schedules for resevoir filling with a variable speed pump.  Journal of Water Resources Planning and Management (accepted).

2011

·       Hiltunen, J., E-P Heikkinen, J Jaako, J Ahola (2011). Pedagogical basis of DAS formalism in engineering education. European Journal of Engineering Education, 36 (1) pp. 75-85.

      Honkanen, Seppo (2011) Tekniikan ylioppilaiden valmistumiseen johtavien opintopolkujen mallintaminen - perusteena lukiossa ja opiskelun alkuvaiheessa saavutettu opintomenestys. Acta Universitatis Ouluensis C376.

2010

·       Bene, J., I. Selek, Cs. Hős (2010). Neutral search technique for short-term pump schedule optimization. Journal of Water Resources Planning and Management.136 (1), pp. 133-137.

·       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. ISBN978-3-902655-11-0.

2009

·       Ikonen, E. and K. Najim (2009). Multiple model based control using finite controlled Markov chains. Cognitive Computation, 1 (3), pp. 234–243.

·       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.  

·       Selek, István (2009) Novel evolutionary methods in engineering optimization – towards robustness and efficiency. Acta Universitatis Ouluensis D1023.

2008

·         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.

·         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.

·         Davidyuk, I., I. Selek, J. Duran and J. Riekki (2008). Algorithms for Composing Pervasive Applications. International Journal of Software Engineerirng and Its Applications. Vol. 2, No. 2, pages 71-94, April 2008. ISSN: 1738-9984.

2007

·         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.

·         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.

2006

·        Ahvenlampi, T, M Tervaskanto, T. Sippus and V. Hietanen (2006). Clustering algorithms in study of different operation states in screening room of CTMP plant  WSEAS Transactios on Systems, 5 (7), pp. 1633-1640

  ·      Benyó; I.; Kovács; Jenö; Paloranta; M. & Kortela; Urpo (2006). Cascade generalized predictive controller: two in one International Journal of Control, 79, pp. 866-876

·        Kimmo Leppäkoski, Utilisation of non-linear modelling methods in flue-gas oxygen-content control 

·        Rantanen Rami, Modelling and control of cooking degree in conventional and modified continuous pulping processes 

·         Benyo Imre, Cascade generalized predictive control – applications in power plant control 

·         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.

2005

·         Ahvenlampi, T., U. Kortela (2005). Clustering algorithms in process monitoring and control application to continuos digesters, Informatica 29(1), pp. 99-107.

·         Benyó, I., J. Kovács, J. Mononen and U. Kortela (2005). Modelling of steam temperature dynamics of a  superheater, International Journal of Simulation 6(6), pp. 3-9.

·        Hätönen Jari, Issues of Algebra and Optimality in Iterative Learning Control 

2004

·         Najim, K., A. Poznyak and E. Ikonen (2004). Optimization based on a team of automata with binary outputs. Automatica, 40(8), pp. 1349-1359.

·         Ikonen, E. and K. Najim (2004). Process identification using distributed Wiener logic processors. Differential Equations & Dynamical Systems, 12, no. 1-2, pp. 171-194.

·         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.

·        Nyberg Jens, Characterisation and Control of the Zinc Roasting Process

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