Authors: Ali Chibani; Mohammed Chadli; Naceur Benhadj Braiek
Addresses: Advanced System Laboratory, Polytechnic School of Tunisia, University of Carthage, BP. 743, 2078 La Marsa, Tunisia ' University of Picardie Jules Verne, MIS (E.A 4290), Laboratoire de Modélisation, Information et Systémes, 07 Rue Moulin Neuf, 80000, Amiens, France ' Advanced System Laboratory, Polytechnic School of Tunisia, University of Carthage, BP. 743, 2078 La Marsa, Tunisia
Abstract: This paper investigates the problem of H∞ filtering for T-S fuzzy systems with unknown inputs. The frequency ranges of these external signals are assumed to be known beforehand and to belong in the low frequency band. The observer is designed in the low frequency domain such that the effects of the unknown inputs are attenuated to a specified level γ by means of an H∞ performance norm. By exploiting the generalised Kalman-Yakubovich-Popov (GKYP) lemma and the Lyapunov method, sufficient design conditions are derived in linear matrix inequality (LMI) formulations for both continuous-time and discrete-time T-S fuzzy models. Finally an illustrative example is introduced to prove the effectiveness of the proposed approach.
Keywords: T-S fuzzy models; unknown inputs observer; finite frequency domain; linear matrix inequality; LMI.
International Journal of Modelling, Identification and Control, 2018 Vol.29 No.2, pp.109 - 117
Available online: 08 Mar 2018 *Full-text access for editors Access for subscribers Purchase this article Comment on this article