Chengcheng Ren

TL;DR: This article investigates the finite-time asynchronous control problem for continuous-time positive hidden Markov jump systems (HMJSs) by using the Takagi–Sugeno fuzzy model method, and derives a suitable controller that depends on the observation mode which makes the closed-loop fuzzy HMJSs be stochastically finite- time bounded and positive, and fulfill the given $L_{2}$ performance index.

TL;DR: This paper investigates the asynchronous resilient controller design problem for a class of nonlinear switched systems with time-delays and uncertainties in a given finite-time interval by constructing proper multiple Lyapunov–Krasovskii functions and applying average dwell time methods.

TL;DR: A suitable finite-time stabilizable controller is devised to guarantee the positiveness of the closed-loop MJNNs and some sufficient conditions for the existence of the controller gain solutions are proposed and proved by using the stochastic Lyapunov-Krasovskii functional approach and linear matrix inequalities techniques.

TL;DR: The objective is to design a suitable distributed controller which makes the closed-loop multi-agent systems be positive and finite-time stabilizable and satisfy the given H∞ performance index.

TL;DR: Based on the stochastic Lyapunov-Krasovskii functional approach and linear matrix inequalities technique, sufficient conditions on the existence of the finite-time controller are proposed and proved and a simulation example is given to illustrate the effectiveness of the proposed method.