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.

Comments

Published version. Systems Science & Control Engineering, Vol. 4, No. 1 (2016): 31-38. DOI. © 2016 Taylor & Francis. Used with permission.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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