Adaptive Neural Control of Time-Varying Constrained Direct-Current Motor System with Input Saturation
Author:
Affiliation:
1. Beijing University of Technology,The Faculty of Information Technology,Beijing,P. R. China,100124
Funder
National Key Research and Development Project
National Science Foundation of China
Beijing Natural Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9901509/9901494/09901814.pdf?arnumber=9901814
Reference20 articles.
1. Prescribed Performance Cooperative Control for Multiagent Systems With Input Quantization
2. Adaptive NN Control Using Integral Barrier Lyapunov Functionals for Uncertain Nonlinear Block-Triangular Constraint Systems
3. Neural Networks-Based Adaptive Control for Nonlinear State Constrained Systems With Input Delay
4. Tangent Barrier Lyapunov functions for the control of output-constrained nonlinear sys-tems;tang;IFAC Proceedings,2013
5. Neural network control-based adaptive design for a class of DC motor systems with the full state constraints
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