NDLI: Non-fragile control design and state estimation for vehicle dynamics subject to input delay and actuator faults

Content Provider	IET Digital Library
Author	Sakthivel, Rathinasamy Mohanapriya, Saminathan Kaviarasan, Boomipalagan Ren, Yong Anthoni, Selvaraj Marshal
Abstract	In this study, the authors precisely concentrate on the issue of state estimator-based non-fragile reliable control design of the vehicle dynamics in critical situations via the extended dissipative theory. In particular, the vehicle dynamics for rollover mitigation with input time delay and the state estimator are represented by the Takagi–Sugeno (T-S) fuzzy model. Moreover, by constructing a suitable Lyapunov–Krasovskii functional, sufficient conditions for asymptotic stability and extended dissipativity of the proposed T-S fuzzy control system are formulated in terms of linear matrix inequalities (LMIs) such that the estimated state values are exactly synchronised with the actual state values of the considered vehicle model. Also, a non-fragile reliable control design method is then presented via the formulated LMI-based conditions, which can satisfactorily prevent the vehicle rollover in critical situations. Finally, the proposed theoretical results are verified through simulations wherein the significance and importance of the designed non-fragile controller are clearly illustrated.
Starting Page	134
Ending Page	144
Page Count	11
ISSN	17518644
Volume Number	14
e-ISSN	17518652
Issue Number	Issue 1, Jan (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/14/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2018.5967
Journal	IET Control Theory & Applications
Publisher Date	2019-10-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Actual State Values Actuator Fault Actuators Algebra Asymptotic Stability Considered Vehicle Model Control System Analysis Control System Synthesis Critical Situations Delay Distributed Parameter Control System Estimated State Value Extended Dissipative Theory Formulated LMI-based Condition Fuzzy Control Input Delay Input Time Delay Linear Matrix Inequalities Lyapunov Method Nonfragile Controller Nonfragile Reliable Control Design Method Optimal Control Robust Control Stability in Control Theory State Estimation State Estimator-based Nonfragile Reliable Control Design Sufficient Condition Synthesis Method T-S Fuzzy Control System Takagi-Sugeno Fuzzy Model Time Varying Control System Time Varying System Transportation System Control Uncertain System Vehicle Dynamics Vehicle Mechanics Vehicle Rollover
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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