Iterative learning-based minimum tracking error entropy controller for robotic manipulators with random communication time delays

IET Control Theory and Applications

Volumn 2, Issue 8, 2008, Pages 682-692

  Zhang, J H ^a   Wang, H ^b  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION; ENTROPY; FLEXIBLE MANIPULATORS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MANIPULATORS; POWER CONTROL; ROBOTICS; TWO TERM CONTROL SYSTEMS;

CLOSED-LOOP SYSTEMS; CLOSED-LOOP TRACKING; CONSTRAINT CONDITIONS; CONTROL DESIGNS; CONTROL METHODS; CONTROL STRATEGIES; CONVERGENCE (MATHEMATICS); CONVERGENCE CONDITIONS; ITERATIVE LEARNING; MEAN SQUARE (MS); MINIMUM ENTROPY CONTROL; OPTIMAL SOLUTIONS; OPTIMISATION; P TYPE ITERATIVE LEARNING CONTROL; PARTICLE SWARM OPTIMISATION (PSO); PERFORMANCE INDEX (PI); RANDOM COMMUNICATION; RANDOM COMMUNICATION DELAYS; ROBOTIC MANIPULATORS; SIMULATION RESULTS; TRACKING ERRORS;

ITERATIVE METHODS;

EID: 47549107866     PISSN: 17518644     EISSN: 17518652     Source Type: Journal    
DOI: 10.1049/iet-cta:20070078     Document Type: Article

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