Xiaozhan Yang

TL;DR: This paper is concerned with the problems of dissipativity analysis and synthesis for discrete-time Takagi-Sugeno fuzzy systems with stochastic perturbation and time-varying delay with model transformation method combined with Lyapunov-Krasovskii technique.

TL;DR: In this paper, the authors considered the electromagnetic suspension system as repulsive system or attractive system which is based on the source of electromagnetic levitation forces, and proposed various controller design schemes to manipulate electromagnetic suspension systems, see for example, [38, 84, 103, 182, 183, 191, 204].

TL;DR: This paper is concerned with the problems of stability analysis and stabilization for a class of discrete-time Takagi-Sugeno (T-S) fuzzy systems with stochastic perturbation and time-varying state delay, and proposes the delay-dependent stabilization approach, which is based on a nonparallel distributed compensation scheme.

TL;DR: A basis-dependent existence condition of desirable ℓ2-ℓ∞ filters is proposed, and by means of the convex linearisation technique, the derived condition is transformed into some strict linear matrix inequality (LMI) constraints, by which both full- and reduced-order filters can be designed.

TL;DR: The Hankel norm model approximation for discrete-time Takagi–Sugeno (T–S) fuzzy systems with time delay is solved by employing the convex linearization approach, which casts the reduced-order model construction into a convex optimization problem subject to linear matrix inequality constraints.