Adaptive Neural Network Control of an Uncertain Robot with Full-State Constraints

IEEE Transactions on Cybernetics

Volumn 46, Issue 3, 2016, Pages 620-629

  He, Wei ^a   Chen, Yuhao ^b   Yin, Zhao ^b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

^b UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Adaptive control; barrier Lyapunov function (BLF); full state constraint; neural networks (NNs); nonlinear system; robot

Indexed keywords

CLOSED LOOP CONTROL SYSTEMS; CLOSED LOOP SYSTEMS; LYAPUNOV FUNCTIONS; MANIPULATORS; ROBOTICS;

ADAPTIVE NEURAL NETWORK CONTROL; ADAPTIVE NEURAL NETWORK CONTROLS (ANNC); MOORE-PENROSE INVERSE; MULTI-OUTPUT SYSTEMS; RIGID ROBOTIC MANIPULATORS; SYSTEM UNCERTAINTIES; TRACKING CONTROL PROBLEM; UNIFORM ULTIMATE BOUNDEDNESS;

ADAPTIVE CONTROL SYSTEMS;

EID: 84926319520     PISSN: 21682267     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCYB.2015.2411285     Document Type: Article

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