A comparative experimental study of type-1/type-2 fuzzy cascade controller based on genetic algorithms and particle swarm optimization

Expert Systems with Applications

Volumn 38, Issue 9, 2011, Pages 11217-11229

  Oh, Sung Kwun ^a   Jang, Han Jong ^a   Pedrycz, Witold ^b,c  

^a Suwon University   (South Korea)

^b UNIVERSITY OF ALBERTA   (Canada)

^c SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

Ball and beam system; Particle swarm optimization; Rule tuning; Scaling factor; Serial genetic algorithm; Type 1 type 2 fuzzy cascade controller

Indexed keywords

BALL AND BEAM SYSTEMS; PARTICLE SWARM; RULE TUNING; SCALING FACTOR; SERIAL GENETIC ALGORITHM; TYPE-1/TYPE-2 FUZZY CASCADE CONTROLLER;

COMPUTER SIMULATION; CONTROLLERS; DESIGN; FUZZY LOGIC; GENETIC ALGORITHMS; MEMBERSHIP FUNCTIONS; SPHERES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 79955618765     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.02.169     Document Type: Article

References (24)

1. W.-D. Chang PID control for chaotic synchronization using particle swarm optimization Chaos, Solitons & Fractals 39 2 2009 910 917
2. J.-S. Chiou, and M.-T. Liu Numerical simulation for Fuzzy-PID controllers and helping EP reproduction with PSO hybrid algorithm Simulation Modelling Practice and Theory 17 10 2009 1555 1565
3. J.-N. Choi, S.-K. Oh, and W. Pedrycz Structural design of fuzzy inference systems using HFC-based parallel genetic algorithms and information granulation International Journal of Approximate Reasoning (IJAR) 49 3 2008 631 648
4. S. Coupland, and R.I. John Geometric type-1 and type-2 fuzzy logic systems IEEE Transactions on Fuzzy Systems 15 1 2007 3 15 (Pubitemid 46444300)
5. H.A.A. Hagras Hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots IEEE Transactions on Fuzzy Systems 12 2004 524 539
6. Jang, H.-J.; & Oh, S.-K. (2008). Design of optimized fuzzy cascade controller based on particle swarm optimization for ball and beam system. KIEE.
7. M. Johansson, A. Rantzer, and K.-E. Arzen Piecewise quadratic stability of fuzzy systems IEEE Transactions on Fuzzy Systems 7 6 1999 713 722 (Pubitemid 32212162)
8. H.J. Lee, J.Bl. Park, and G. Chen Robust fuzzy control of nonlinear systems with parametric uncertainties IEEE Transactions on Systems 9 2 2001 369 379 (Pubitemid 32505593)
9. Q. Liang, and J.M. Mendel Equalization of nonlinear time-varying channels using type-2 fuzzy adaptive filters IEEE Transactions on Fuzzy Systems 8 2000 551 563
10. Q. Liang, and J.M. Mendel MPEG VBR video traffic modeling and classification using fuzzy technique IEEE Transactions on Fuzzy Systems 9 2001 183 193 (Pubitemid 32416237)
11. F.-J. Lin Fuzzy Adaptive Model-Following Position Control for Ultrasonic Motor IEEE Transactions on Power Electronics 12 2 1997 261 268 (Pubitemid 127762987)
12. J. Mendel Uncertain rule-based fuzzy logic systems: Introduction and new directions 2001 Prentice-Hall Upper Saddle River, NJ
13. S.-K. Oh, H.-J. Jang, and W. Pedrycz The design of a fuzzy cascade controller for ball and beam system: A study in optimization with the use of parallel genetic algorithms Engineering Application of Artificial Intelligence 22 2 2009 261 271
14. S.-K. Oh, W. Pedrycz, and H.-S. Park Implicit rule-based fuzzy-neural networks using the identification algorithm of GA hybrid scheme based on information granulation Advanced Engineering Informatics 16 4 2002 247 263
15. S.-K. Oh, W. Pedrycz, S.-B. Rho, and T.-C. Ahn Parameter estimation of fuzzy controller and its application to inverted pendulum Engineering Applications of Artificial Intelligence 17 1 2004 37 60
16. B.-J. Park, W. Pedrycz, and S.-K. Oh A design of genetically-oriented fuzzy neural networks based on fuzzy polynomial inference IEEE Transactions on Fuzzy Systems 129 3 2009 335 342
17. B.-J. Park, W. Pedrycz, and S.-K. Oh A design of genetically-oriented fuzzy relation neural networks (FrNNs) based on fuzzy polynomial inference scheme IEEE Transactions on Fuzzy Systems 1 2009 1 2
18. R. Toscano, and P. Lyonnet Robust PID controller tuning based on the heuristic Kalman algorithm Automatica 45 9 2009 2099 2106
19. Wu, D.; & Tan, W. (2004). Type-2 fuzzy logic controller for the liquid-level process. In Proceeding of the 2004 IEEE international conference on fuzzy systems, Budapest, Hungary (pp. 248-253).
20. H.-N. Wu, and K.-Y. Cai Robust fuzzy control for uncertain discrete-time nonlinear Markovian jump systems without mode observations Information Sciences 177 6 2007 1509 1522 (Pubitemid 46037664)
21. J.C. Wu, and T.S. Liu Fuzzy control stabilization with applications to motorcycle control IEEE Transactions on Systems, Man, and Cybernetics 26 6 1996 836 847 (Pubitemid 126784512)
22. D. Wu, and W. Tan Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers Engineering Applications of Artificial Intelligence 19 8 2006 829 841 (Pubitemid 44667712)
23. R.R. Yager Fuzzy subsets of type-2 in decisions Cybernetics 10 1980 137 159
24. L.A. Zadeh The concept of a linguistic variable and its application to approximate reasoning-1 Information Sciences 8 3 1975 199 249