Peng Shi

TL;DR: In this paper, the problem of control for a class of chaotic systems is considered and the corresponding controller which renders the closed-loop system asymptotically stable is constructed.

TL;DR: The dissipativity is applied to cascaded nonlinear stochastic systems and interconnected systems to display the superiority of the new framework, which shows that there is no need to calculate the first exit time and the escape time.

TL;DR: The problem of dissipativity-based resilient filtering for discrete-time periodic Markov jump neural networks in the presence of quantized measurements is investigated and the merits and validity of the proposed design techniques are verified.

TL;DR: A linear static state feedback control law is designed, which is in terms of a Riccati inequality, to address the problem of robust H/ sub /spl infin// control in which both robust stability and a prescribed H/sub /spl Infin// performance are required to be achieved, irrespective of the uncertainties.

TL;DR: In this paper, the authors investigate the problem of sliding mode observer design for a class of uncertain fuzzy time-delay systems based on an event-triggered strategy, and propose a delay-dependent sufficient conditions to guarantee the overall system, including sliding mode dynamics and error dynamics, to be asymptotically stable with an ∞ ∞ performance.