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01-04-2020 | Methodologies and Application

Fuzzy optimal control for nonlinear systems with time-varying delay via sampled-data controller

Authors: Zifang Qu, Zhengdi Zhang, Zhenbin Du, Tiebiao Zhao

Published in: Soft Computing | Issue 19/2020

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Abstract

This work is devoted to a fuzzy sampled-data optimal control problem for nonlinear systems with time-varying delay in Takagi–Sugeno fuzzy form. Based on the Lyapunov–Krasovskii functional theory, some novel stability criteria are established. A fuzzy sampled-data controller is developed to ensure that the fuzzy closed-loop sampled-data control system is asymptotically stable and the guaranteed cost performance is also minimized. It is shown that the obtained results are less conservative in the stability analysis. Two examples of the computer-simulated truck-trailer system and the continuous stirred tank reactor system are provided to show the effectiveness and the merits of the proposed design.

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Title: Fuzzy optimal control for nonlinear systems with time-varying delay via sampled-data controller
Authors: Zifang Qu
Zhengdi Zhang
Zhenbin Du
Tiebiao Zhao
Publication date: 01-04-2020
Publisher: Springer Berlin Heidelberg
Published in: Soft Computing / Issue 19/2020
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-020-04827-6

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