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- W2784156445 abstract "In this paper, the state estimation problem is studied for vehicle lateral dynamics, which are approximated by the Takagi–Sugeno (T–S) fuzzy model with probabilistic actuator faults. First, a fuzzy rule-based state estimator is constructed to estimate the exact state values of the considered system, and then a probability-dependent fault-tolerant state feedback controller is developed based on the estimated state values. Furthermore, by constructing an appropriate Lyapunov–Krasovskii functional, some novel delay-dependent sufficient conditions that ensure the mean-square asymptotic stability and strict $(Q_d,S_d,R_d)$ -dissipativity of the closed-loop fuzzy system are derived. Specifically, the proposed dissipative-based observer design scheme is developed by means of a set of linear matrix inequalities. Finally, the proposed state estimation and fault-tolerant dissipative controller are applied to the addressed system, which demonstrates the usefulness of the developed analytical results." @default.
- W2784156445 created "2018-01-26" @default.
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- W2784156445 date "2018-09-01" @default.
- W2784156445 modified "2023-09-23" @default.
- W2784156445 title "State Estimation and Dissipative-Based Control Design for Vehicle Lateral Dynamics With Probabilistic Faults" @default.
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- W2784156445 doi "https://doi.org/10.1109/tie.2018.2793253" @default.
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