Command-filter-based adaptive neural tracking control for a class of nonlinear MIMO state-constrained systems with input delay and saturation
Authors:
- 1 March 2022
- journal article
- research article
- Published by Elsevier in Neural Networks
- Vol. 147, 152-162
Abstract
No abstract availableKeywords
Funding Information
- Natural Science Foundation Project of Chongqing
This publication has 43 references indexed in Scilit:
- Observer and Command-Filter-Based Adaptive Fuzzy Output Feedback Control of Uncertain Nonlinear SystemsIEEE Transactions on Industrial Electronics, 2015
- On Extended Dissipativity of Discrete-Time Neural Networks With Time DelayIEEE Transactions on Neural Networks and Learning Systems, 2015
- Approximation-Based Adaptive Tracking Control for MIMO Nonlinear Systems With Input SaturationIEEE Transactions on Cybernetics, 2014
- Adaptive NN Control of a Class of Nonlinear Systems With Asymmetric Saturation ActuatorsIEEE Transactions on Neural Networks and Learning Systems, 2014
- Adaptive Dynamic Surface Control of a Class of Nonlinear Systems With Unknown Direction Control Gains and Input SaturationIEEE Transactions on Cybernetics, 2014
- Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural NetworksIEEE Transactions on Neural Networks and Learning Systems, 2014
- Barrier Lyapunov Functions for the control of output-constrained nonlinear systemsAutomatica, 2009
- Dynamic surface control for a class of nonlinear systemsIEEE Transactions on Automatic Control, 2000
- Constrained model predictive control: Stability and optimalityAutomatica, 2000
- Reference governor for constrained nonlinear systemsIEEE Transactions on Automatic Control, 1998