Passivity-Based Adaptive Fuzzy Control for Stochastic Nonlinear Switched Systems via T–S Fuzzy Modeling
Author:
Affiliation:
1. School of Automation and the Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China
2. Department of Engineering, King's College London, London, U.K.
Funder
National Natural Science Foundation of China
Taishan Scholar Special Project Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/91/10089565/09847103.pdf?arnumber=9847103
Reference39 articles.
1. Switched Controller Design for Robotic Manipulator via Neural Network-Based Sliding Mode Approach
2. How to Vary the Input Space of a T–S Fuzzy Model: A TP Model Transformation-Based Approach
3. Neural Networks-Based Adaptive Finite-Time Fault-Tolerant Control for a Class of Strict-Feedback Switched Nonlinear Systems
4. Influence of the Tensor Product Model Representation of qLPV Models on the Feasibility of Linear Matrix Inequality Based Stability Analysis
5. Reliable Filter Design of Takagi–Sugeno Fuzzy Switched Systems With Imprecise Modes
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