State Estimation and Dissipative-Based Control Design for Vehicle Lateral Dynamics With Probabilistic Faults
- Authors
- Sakthivel, Rathinasamy; Mohanapriya, Saminathan; Ahn, Choon Ki; Selvaraj, Palanisamy
- Issue Date
- 9월-2018
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Actuator fault model; lateral vehicle dynamics; state estimation; Takagi-Sugeno (T-S) fuzzy system
- Citation
- IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, v.65, no.9, pp.7193 - 7201
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Volume
- 65
- Number
- 9
- Start Page
- 7193
- End Page
- 7201
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/73689
- DOI
- 10.1109/TIE.2018.2793253
- ISSN
- 0278-0046
- 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.
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