Adaptive Fuzzy Control for State Constrained Pure-Feedback Nonlinear Systems with Input Nonlinearity
Author:
Affiliation:
1. Research Center in Industrial Technologies CRTI,Algiers,Algeria,16014
2. University of Jijel,LAJ Laboratory,Department of Automatic control,Jijel,Algeria,18000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9955493/9955494/09955968.pdf?arnumber=9955968
Reference19 articles.
1. Adaptive Neural-Network Control of MIMO Nonaffine Nonlinear Systems With Asymmetric Time-Varying State Constraints
2. BLF-based Adaptive Fuzzy DSC for a class of Uncertain Nonlinear Systems with Full State Constraints and Input Saturation using Disturbance Observer
3. Removing the Feasibility Conditions Imposed on Tracking Control Designs for State-Constrained Strict-Feedback Systems
4. Adaptive neural dynamic surface control of strict-feedback nonlinear systems with full state constraints and unmodeled dynamics
5. Fuzzy adaptive observer-based projective synchronization for nonlinear systems with input nonlinearity
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Adaptive Fuzzy Dynamic Surface Control of State Constrained Nonlinear Systems with Actuators’ Saturation and Disturbances;2022 2nd International Conference on Advanced Electrical Engineering (ICAEE);2022-10-29
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