TY - JOUR
T1 - State Estimation and Dissipative-Based Control Design for Vehicle Lateral Dynamics with Probabilistic Faults
AU - Sakthivel, Rathinasamy
AU - Mohanapriya, Saminathan
AU - Ahn, Choon Ki
AU - Selvaraj, Palanisamy
N1 - Funding Information:
Manuscript received June 26, 2017; revised September 12, 2017, November 12, 2017, and December 3, 2017; accepted December 24, 2017. Date of publication January 15, 2018; date of current version May 1, 2018. This work was supported in part by the National Research Foundation of Korea through the Ministry of Science, ICT and Future Planning under Grant NRF-2017R1A1A1A05001325, and in part by the Brain Korea 21 Plus Project in 2018. (Corresponding authors: Choon Ki Ahn and Rathinasamy Sakthivel.) R. Sakthivel is with the Department of Mathematics, Bharathiar University, Coimbatore 641046, India, and also the Department of Mathematics, Sungkyunkwan University, Suwon 440-746, South Korea (e-mail: krsakthivel@yahoo.com).
Publisher Copyright:
© 1982-2012 IEEE.
PY - 2018/9
Y1 - 2018/9
N2 - 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 (Qd,Sd,Rd)-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.
AB - 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 (Qd,Sd,Rd)-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.
KW - Actuator fault model
KW - Takagi-Sugeno (T-S) fuzzy system
KW - lateral vehicle dynamics
KW - state estimation
UR - http://www.scopus.com/inward/record.url?scp=85041199811&partnerID=8YFLogxK
U2 - 10.1109/TIE.2018.2793253
DO - 10.1109/TIE.2018.2793253
M3 - Article
AN - SCOPUS:85041199811
SN - 0278-0046
VL - 65
SP - 7193
EP - 7201
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
IS - 9
ER -