Project detail

Control Algorithm Design by Means of Evolutionary Approach

Duration: 01.01.2009 — 31.12.2011

Funding resources

Czech Science Foundation - Standardní projekty

- whole funder (2009-01-01 - 2011-12-31)

On the project

V oblasti návrhu klasických řídících systémů převažují metody vyvinuté pro systémy, které lze popsat lineárními diferenciálními rovnicemi, nebo systémy, které jimi lze vhodně aproximovat. V reálných aplikacích se však často setkáváme se systémy nelineárními, chaotickými, případně s takovými, jejichž popis je částečně nebo úplně neznámý. Předložený projekt bude zaměřen na využití evolučních technik s cílem navrhnout nové řídicí algoritmy aplikovatelné na diskutovanou třídu systémů. Navržené algoritmy budou implementovány a testovány prostřednictvím PC, programovatelných automatů (PLC) a rekonfigurovatelných hradlových polí (FPGA). Aplikovatelnost těchto algoritmů bude ověřena na reprezentativní množině úloh a zvolených reálných soustavách, např. nelineární řízení mobilních robotů nebo systémů založených na magnetické levitaci.

Description in English
In the area of classical control design, dominate methods developed for systems which can be described by linear differential equations or systems which can be successfully approximated by these mathematical tools. In real applications, systems mostly are non-linear, chaotic or even their description is unknown or partially known. This project will be focused on evolutionary techniques used with aim to synthesize new control algorithms that will be applicable to the discussed class of systems. These algorithms will be implemented and tested on PC, programmable controllers (PLC) and reconfigurable devices (Field Programmable Gate Array - FPGA). Applicability of these algorithms will be verified in the area of selected representative set of systems and real world tasks, e.g., non-linear control of mobile robots and magnetic levitation devices.

Keywords
řízení, algoritmy, evoluce, syntéza, optimalizace

Key words in English
control; algorithm; evolution; synthesis; optimalization

Mark

GA102/09/1680

Default language

Czech

People responsible

Zelinka Ivan, prof. Ing., Ph.D. - fellow researcher
Šeda Miloš, prof. RNDr. Ing., Ph.D. - principal person responsible

Units

Dept. of Applied Computer Science
- beneficiary (2009-01-01 - 2011-12-31)
Tomas Bata University in Zlin
- co-beneficiary (2009-01-01 - 2011-12-31)

Results

OŠMERA, P.; MATOUŠEK, R.; POPELKA, O.; PANÁČEK, T. Parallel Grammatical Optimization. In MENDEL 2009. MENDEL. Brno: BUT, 2009. p. 101-108. ISBN: 978-80-214-3884-2.
Detail

ŠEDA, M.; ROUPEC, J.; ŠEDOVÁ, J. Transportation Problem and Related Tasks with Application in Agriculture. International Journal of Applied Mathematics and Informatics, 2014, vol. 8, no. 1, p. 26-33. ISSN: 2074-1278.
Detail

DOKOUPIL, J.; PIVOŇKA, P. A Levenberg-Marquardt algorithm with instrumental variables and its application on the identification of dynamic system. In Annals of DAAAM for 2010 & Proceedings of the 21st International DAAAM Symposium, No1. 2010. TU Wien Karlsplatz 13/311 A-1040 Vienna Austria: DAAAM International Vienna, 2010. p. 1359-1360. ISBN: 978-3-901509-73-5.
Detail

BURLAK, V. Adaptive optimal controllers with principles of artificial intelligence. In Proceedings of the 16th Conference STUDENT EEICT 2010 Volume 2. NOVPRESS s.r.o., nám. Republiky 15, 61400 Brno, 2010. s. 114-116. ISBN: 978-80-214-4077-7.
Detail

MALOUNEK, P.; PIVOŇKA, P.; CHOMÁT, L.; DVOŘÁČEK, M. Using Adaptive LQ Controller to Position Control. Journal of the Technical University at Plovdiv. Fundamental Sciences and Applications, 2009, vol. 14, no. 1, p. 93-98. ISSN: 1310-8271.
Detail

DVOŘÁČEK, M.; PIVOŇKA, P.; CHOMÁT, L.; MALOUNEK, P. Direct implementation of control algorithm from Simulink to target control systems. Journal of the Technical University at Plovdiv. Fundamental Sciences and Applications, 2009, vol. 14, no. 1, p. 87-92. ISSN: 1310-8271.
Detail

MATOUŠEK, R.; BEDNÁŘ, J. Grammatical Evolution and STE Criterion (Statistical Properties of STE Objective Function). Lecture notes in Electrical Engineering, 2010, vol. 2010, no. 68, p. 131-142. ISSN: 1876-1100.
Detail

ŠEDA, M.; MATOUŠEK, R.; OŠMERA, P.; ŠANDERA, Č.; WEISSER, R. Combined Heuristic Approach to Resource-Constrained Project Scheduling Problem. Lecture notes in Electrical Engineering, 2010, vol. 2010, no. 68, p. 47-57. ISSN: 1876-1100.
Detail

MATOUŠEK, R. Using AI Methods to Find a Non-Linear Regression Model with a Coupling Condition. Engineering Mechanics, 2011, vol. 17, no. 5/6, p. 419-431. ISSN: 1802-1484.
Detail

MATOUŠEK, R. HC12 Implemented Using the CUDA Platform. Applied Computer Science, 2010, vol. 2010, no. 2010, p. 649-652. ISSN: 1792-4863.
Detail

DVOŘÁČEK, M.; MALOUNEK, P.; PIVOŇKA, P. Řízení vysokoteplotních procesů programem MATLAB/Simulink. Technical Computing Prague 2009. Technicka 5 166 28 Praha 6: KANAG-TISK, s.r.o., 2009. s. 82-82. ISBN: 978-80-7080-733-0.
Detail

DOKOUPIL, J.; PIVOŇKA, P. Adaptive Nonlinear Model Predictive Control Based on Wiener Model. DAAAM International Scientific Book, 2011, vol. 10, no. 11, p. 417-424. ISSN: 1726-9687.
Detail

BURLAK, V.; PIVOŇKA, P. Nonlinear identification based on RBF neural network. DAAAM International Scientific Book, 2011, vol. 10, no. 11, p. 547-554. ISSN: 1726-9687.
Detail

MATOUŠEK, R.; ŽAMPACHOVÁ, E. Promising GAHC and HC12 algorithms in global optimization tasks. OPTIMIZATION METHODS & SOFTWARE, 2011, vol. 26, no. 3, p. 405-419. ISSN: 1055-6788.
Detail

PIVOŇKA, P.; DOKOUPIL, J. Sliding Window Recursive Neural Networks Learning Algorithm and its Application on the Identification in Adaptive PID. In 17th Zittau East-West Fuzzy Colloquium. Theodor-Korner-Allee 16 D-02763 Zittau: 2010. p. 55-62. ISBN: 978-3-9812655-4-5.
Detail

ŠEDA, M.; ROUPEC, J.; ŠEDOVÁ, J. Distribution Problems, Their Modifications and Applications. In Recent Advances in Applied Mathematics and Computational Methods. Venice (Italy): AMCM, 2001. p. 284-289. ISBN: 978-1-61804-208-8.
Detail

OŠMERA, P.; ŠEDA, M.; WEISSER, R. Evolutionary Optimization of Controllers. In Zelinka, I., Snášel, V., Abraham, A. (eds.): Handbook of Optimization. From Classical to Modern Approach. Optimisation. Berlin (Germany): Springer-Verlag, 2012. p. 869-887. ISBN: 978-3-642-30503-0.
Detail

MORÁVEK, P.; ŠEDA, M. Fuzzy Processing of Uncertain Data. World Academy of Science, Engineering and Technology, 2011, vol. 2011, no. 60, p. 901-905. ISSN: 2010-376X.
Detail

ŠEDA, M.; BŘEZINA, T. Control and Navigation with Knowledge Bases. World Academy of Science, Engineering and Technology, 2011, vol. 2011, no. 60, p. 265-272. ISSN: 2010-376X.
Detail

ŠEDA, M.; OŠMERA, P. Systems with Queueing and Their Simulation. World Academy of Science, Engineering and Technology, 2011, vol. 2011, no. 73, p. 713-719. ISSN: 1307-6892.
Detail

ŠEDA, M. Modely hromadné obsluhy. Acta Logistica Moravica, 2011, roč. 1, č. 2, s. 16-33. ISSN: 1804-8315.
Detail

MATOUŠEK, R.; LANG, S.; MINÁŘ, P.; PIVOŇKA, P. Evolutionary Design of Polynomial Controller. World Academy of Science, Engineering and Technology, 2011, vol. 2011, no. 59, p. 639-644. ISSN: 2010-376X.
Detail

MATOUŠEK, R.; NĚMEC, Z. Optimal Criteria for Non-Minimal Phase Plants. World Academy of Science, Engineering and Technology, 2011, vol. 2011, no. 59, p. 824-828. ISSN: 2010-376X.
Detail

ŠEDA, M. Graph and Geometric Algorithms and Efficient Data Structures. In Zelinka, I., Snášel, V., Abraham, A. (eds.): Handbook of Optimization. From Classical to Modern Approach. Optimisation. Berlin (Germany): Springer-Verlag, 2012. p. 73-95. ISBN: 978-3-642-30503-0.
Detail

MATOUŠEK, R.: 17th International Conference of Soft Computing, MENDEL 2011. Brno University of Technology (15.06.2011)
Detail

Matoušek Radomil, Ing., Ph.D.: MENDEL 2009 - 15th International Conference on Soft Computing. Brno University of Technology (24.06.2009)
Detail

Matoušek Radomil, Ing., Ph.D.: MENDEL 2010 - 16th International Conference on Soft Computing. Brno University of Technology (23.06.2010)
Detail

Responsibility: Šeda Miloš, prof. RNDr. Ing., Ph.D.