New approach to adaptive control architecture based on fuzzy neural network and genetic algorithm

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

Volumn 1, Issue , 2001, Pages 347-352

  Chen, Liang Hsuan ^a   Chiang, Cheng Hsiung ^a   Yuan, John ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Adaptive control; Fuzzy neural network; Genetic algorithm; Off line learning; On line learning; Path planning

Indexed keywords

COMPUTER SIMULATION; CONTROL SYSTEM ANALYSIS; FUZZY CONTROL; GENETIC ALGORITHMS; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; MOBILE ROBOTS; MOTION PLANNING; NEURAL NETWORKS;

ACTION SEARCHER; FUZZY NEURAL NETWORK; OFF LINE LEARNING; ON LINE LEARNING; PERFORMANCE EVALUATOR; RULE CONSTRUCTER;

ADAPTIVE CONTROL SYSTEMS;

EID: 0035726347     PISSN: 08843627     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Genetic algorithms in search, optimization, and machine learning
2. On-line learning of fuzzy decision trees for global path planning
3. Adaptation in natural and artificial systems
4. Human motor control: Learning to control a time-varying, nonlinear, many-to-one system
5. Pattern classification by a neurofuzzy network: Application to vibration monitoring
6. Mobile robot miniaturization: A tool for investigation in control algorithms
7. Learning internal representations by error propagation
8. Generating fuzzy rules by learning form examples