Static Output Feedback Control for Positive Takagi–Sugeno Fuzzy Systems: A Successive Linear Programming Approach-Reference-Cited by-同舟云学术

Static Output Feedback Control for Positive Takagi–Sugeno Fuzzy Systems: A Successive Linear Programming Approach

Published:2023-08 Issue:8 Volume:53 Page:4867-4874
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Ren Yingying¹^ORCID,Ding Da-Wei²^ORCID,Xie Xiang-Peng³^ORCID,Li Xiao-Jian⁴^ORCID

Affiliation:

1. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China

2. School of Automation and Electrical Engineering and the Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, University of Science and Technology Beijing, Beijing, China

3. Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China

4. College of Information Science and Engineering, Northeastern University, Shenyang, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for Central Universities

Postdoctoral Research Foundation of Shunde Innovation School, University of Science and Technology Beijing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/10186108/10087346.pdf?arnumber=10087346

Reference34 articles.

1. Static Output Feedback Control of Switched Nonlinear Systems With Actuator Faults

2. $H_\infty $ Disturbance Attenuation for Nonlinear Coupled Parabolic PDE–ODE Systems via Fuzzy-Model-Based Control Approach

3. A review on stability analysis of continuous-time fuzzy-model-based control systems: From membership-function-independent to membership-function-dependent analysis

4. The Generalized TP Model Transformation for T–S Fuzzy Model Manipulation and Generalized Stability Verification

5. Dissipativity-Based Fuzzy Control of Nonlinear Systems via an Event-Triggered Mechanism

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