Self-generating rule-mapping fuzzy controller design using a genetic algorithm

IEE Proceedings: Control Theory and Applications

Volumn 149, Issue 2, 2002, Pages 143-148

  Chen, C C ^a   Wong, C C ^a  

^a WUFENG INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CALCULATIONS; COMPUTER SIMULATION; CONTROL SYSTEM ANALYSIS; CONTROL SYSTEM SYNTHESIS; FUZZY SETS; GENETIC ALGORITHMS; KNOWLEDGE BASED SYSTEMS; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; PENDULUMS;

EXPERT KNOWLEDGE SYSTEM; FITNESS FUNCTION; INDEX FUNCTION; PENDULUM CONTROL; SELF GENERATING RULE MAPPING FUZZY CONTROLLER;

FUZZY CONTROL;

EID: 0036504580     PISSN: 13502379     EISSN: None     Source Type: Journal    
DOI: 10.1049/ip-cta:20020253     Document Type: Article

References (20)

1. Application of fuzzy algorithms for control of a simple dynamic process
2. Essentials of fuzzy modeling and control
3. Implementation of the Takagi-Sugeno model-based fuzzy control using an adaptive gain controller
4. A two-stage evolutionary process for designing TSK fuzzy rule-based systems
5. Design and stability analysis of single-input fuzzy logic controller
6. Fuzzy controllers: Synthesis and equivalences
7. Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms
8. Fuzzy logic in control systems: Fuzzy logic controller-Part I
9. A new methodology for designing a fuzzy logic controller
10. A comparative design and tuning for conventional fuzzy control
11. Generating rules for fuzzy logic controllers by functions
12. Tuning of a neuro-fuzzy controller by genetic algorithm
13. Studies on the output of fuzzy controller with multiple inputs
14. Rule mapping fuzzy controller design
15. Switching-type fuzzy controller design by generic algorithms
16. A self-generating method for fuzzy system design
17. A genetic-based neuro-fuzzy approach for modeling and control of dynamical systems