Fuzzy Sampled-Data Control for Uncertain Vehicle Suspension Systems

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Author(s)

Detail(s)

Original languageEnglish
Article number6595052
Pages (from-to)1111-1126
Journal / PublicationIEEE Transactions on Cybernetics
Volume44
Issue number7
Online published10 Sept 2013
Publication statusPublished - Jul 2014
Externally publishedYes

Abstract

This paper investigates the problem of sampled-data H control of uncertain active suspension systems via fuzzy control approach. Our work focuses on designing state-feedback and output-feedback sampled-data controllers to guarantee the resulting closed-loop dynamical systems to be asymptotically stable and satisfy H disturbance attenuation level and suspension performance constraints. Using Takagi-Sugeno (T-S) fuzzy model control method, T-S fuzzy models are established for uncertain vehicle active suspension systems considering the desired suspension performances. Based on Lyapunov stability theory, the existence conditions of state-feedback and output-feedback sampled-data controllers are obtained by solving an optimization problem. Simulation results for active vehicle suspension systems with uncertainty are provided to demonstrate the effectiveness of the proposed method. © 2013 IEEE.

Research Area(s)

  • Active suspension system, H-infinity control, sampled-data control, T-S fuzzy model, OUTPUT-FEEDBACK CONTROL, GUARANTEED COST CONTROL, NONLINEAR-SYSTEMS, STABILITY ANALYSIS, ADAPTIVE-CONTROL, TOLERANT CONTROL, DELAY, DESIGN, STABILIZATION

Citation Format(s)

Fuzzy Sampled-Data Control for Uncertain Vehicle Suspension Systems. / Li, Hongyi; Jing, Xingjian; Lam, Hak-Keung et al.
In: IEEE Transactions on Cybernetics, Vol. 44, No. 7, 6595052, 07.2014, p. 1111-1126.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review