Document Type
Article
Language
eng
Format of Original
8 p.
Publication Date
2016
Publisher
Taylor & Francis
Source Publication
Systems Science & Control Engineering
Source ISSN
2164-2583
Original Item ID
DOI: 10.1080/21642583.2016.1138338
Abstract
This paper presents a novel fuzzy control design of discrete-time nonlinear systems with multiple performance criteria. The purpose behind this work is to improve the traditional fuzzy controller performance to satisfy several performance criteria simultaneously to secure quadratic optimality with an inherent stability property together with a dissipativity type of disturbance reduction. The Takagi–Sugeno-type fuzzy model is used in our control system design. By solving a linear matrix inequality at each time step, the optimal control solution can be found to satisfy mixed performance criteria. The effectiveness of the proposed technique is demonstrated by simulation of the control of the inverted pendulum system on a cart.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Wang, Xin and Yaz, Edwin E., "Robust Multi-Criteria Optimal Fuzzy Control of Discrete-Time Nonlinear Systems" (2016). Electrical and Computer Engineering Faculty Research and Publications. 271.
https://epublications.marquette.edu/electric_fac/271
Comments
Published version. Systems Science & Control Engineering, Vol. 4, No. 1 (2016): 31-38. DOI. © 2016 Taylor & Francis. Used with permission.