Adaptive neural tracking control for uncertain nonlinear systems with input and output constraints using disturbance observer
- 1 April 2017
- journal article
- Published by Elsevier BV in Neurocomputing
- Vol. 235, 27-37
- https://doi.org/10.1016/j.neucom.2016.12.032
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (61573184)
- Specialized Research Fund for the Doctoral Program of Higher Education (20133218110013)
- 333 high-level personnel training project of Jiangsu Province (BRA2015359)
- Fundamental Research Funds for the Central Universities (NE2016101)
This publication has 41 references indexed in Scilit:
- Adaptive NN Tracking Control of Uncertain Nonlinear Discrete-Time Systems With Nonaffine Dead-Zone InputIEEE Transactions on Cybernetics, 2014
- Robust Adaptive Fuzzy Tracking Control for Pure-Feedback Stochastic Nonlinear Systems With Input ConstraintsIEEE Transactions on Cybernetics, 2013
- Anti-windup in anticipation of actuator saturationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Barrier Lyapunov Functions for the control of output-constrained nonlinear systemsAutomatica, 2009
- Stability and Performance for Saturated Systems via Quadratic and Nonquadratic Lyapunov FunctionsIEEE Transactions on Automatic Control, 2006
- Robust output feedback model predictive control of constrained linear systemsAutomatica, 2006
- Invariant approximations of the minimal robust positively Invariant setIEEE Transactions on Automatic Control, 2005
- Robust model predictive control of constrained linear systems with bounded disturbancesAutomatica, 2005
- Antiwindup for stable linear systems with input saturation: An LMI-based synthesisIEEE Transactions on Automatic Control, 2003
- Adaptive neural network control for strict-feedback nonlinear systems using backstepping designAutomatica, 2000