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Covariance control with observed-state feedback gains for continuous nonlinear systems using T-S fuzzy models
The design problem of state variance constrained control for stochastic systems has received rather extensive attention in recent years. This paper solves the state variance constrained controller design problem by using the covariance control theory with observed-state feedback gains for continuous...
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Published in: | ISA transactions 2004-07, Vol.43 (3), p.389-398 |
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container_end_page | 398 |
container_issue | 3 |
container_start_page | 389 |
container_title | ISA transactions |
container_volume | 43 |
creator | Chang, Wen-Jer Yeh, Yi-Lin Tsai, Kuo-Hui |
description | The design problem of state variance constrained control for stochastic systems has received rather extensive attention in recent years. This paper solves the state variance constrained controller design problem by using the covariance control theory with observed-state feedback gains for continuous Takagi-Sugeno (TS) fuzzy models. By incorporating the technique of state estimation into the practical covariance control theory, a variance constrained control methodology is developed for the continuous TS fuzzy models. Finally, a numerical example is shown to demonstrate the efficiency and applicability of the proposed approach. |
doi_str_mv | 10.1016/S0019-0578(07)60156-6 |
format | article |
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source | ScienceDirect Freedom Collection 2022-2024 |
subjects | Applied sciences Computer science control theory systems Continuous Takagi-Sugeno fuzzy models Control theory. Systems Exact sciences and technology General equipment and techniques Instruments, apparatus, components and techniques common to several branches of physics and astronomy Observed-state feedback gains Parallel distributed compensation and covariance control Physics Servo and control equipment robots |
title | Covariance control with observed-state feedback gains for continuous nonlinear systems using T-S fuzzy models |
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