Advances and Challenges on Intelligent Learning in Control Systems

Contemporary Issues in Systems Science and Engineering

Volumn , Issue , 2015, Pages 243-264

  Tsai, Ching Chih ^a   Hwang, Kao Shing ^b   Liu, Alan ^c   Juang, Chia Feng ^a  

^a NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

^b NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

^c NATIONAL CHUNG CHENG UNIVERSITY   (Taiwan)

Author keywords

Artificial intelligence; Bio inspired evolutionary learning control (ELC); Case based reasoning (CBR); Evolutionary algorithms (EAs); Fuzzy neural network (FNN); Intelligent learning control; Lyapunov stability theory; Mobile robots; Q Learning algorithm; Reinforcement learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; CASE BASED REASONING; CONTROL THEORY; DECISION MAKING; EVOLUTIONARY ALGORITHMS; FUZZY INFERENCE; FUZZY LOGIC; FUZZY NEURAL NETWORKS; INTELLIGENT ROBOTS; MOBILE ROBOTS; REINFORCEMENT LEARNING; ROBOT APPLICATIONS;

CASEBASED REASONINGS (CBR); EVOLUTIONARY ALGORITHMS (EAS); EVOLUTIONARY LEARNING; INTELLIGENT LEARNING; LYAPUNOV STABILITY THEORY; Q-LEARNING ALGORITHMS;

LEARNING ALGORITHMS;

EID: 85016519587     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9781119036821.ch6     Document Type: Chapter

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