Passive Stabilization of Static Output Feedback of Disturbed Nonlinear Stochastic System

Author:

Huang Ping-Tzan1ORCID,Sun Chein-Chung2,Ku Cheung-Chieh2ORCID,Yeh Yun-Chen3

Affiliation:

1. Department of Maritime Information and Technology, National Kaohsiung University of Science and Technology, Kaohsiung 805, Taiwan

2. Department of Marine Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 805, Taiwan

3. Design Department, China Ship Building Corporation, Kaohsiung 805, Taiwan

Abstract

This paper investigates the Static Output (SO) control issue of the disturbed nonlinear stochastic system, which achieves passivity. Through the application of fuzzy sets and the stochastic differential equation, a Takagi–Sugeno (T-S) fuzzy model with the terms of multiplicative noise and external disturbance can be constructed to describe the considered systems. Furthermore, the Parallel Distributed Compensation (PDC) concept is used to design a fuzzy controller exhibiting an SO feedback scheme structure. To attenuate the effect of external disturbance, the PDC-based SO fuzzy controller is designed to exhibit passivity. During the derivation of some sufficient conditions, a line-integral Lyapunov function is utilized to avoid the conservative term produced using the derivative membership function. Using converting technologies, a stability criterion belonging to Linear Matrix Inequality (LMI) forms is proposed such that the derived conditions are convex hull problems and are solved through an optimization algorithm. Then, the proposed criterion is used to discuss the problem of SO controller design of ship fin stabilizing systems with added disturbance and noise.

Funder

National Science and Technology Council

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference32 articles.

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3. Finite-time H∞ control for T-S fuzzy descriptor semi-Markov jump systems via static output feedback;Wang;Fuzzy Sets Syst.,2019

4. New results for T-S fuzzy systems with hybrid communication delays;Cai;Fuzzy Sets Syst.,2022

5. Stabilization of delayed fuzzy neutral-type systems under intermittent control;Vadivel;Int. J. Control Autom. Syst.,2021

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