Peng Shi

TL;DR: A new set of delay-dependent conditions is established to estimate the state variables of fuzzy neural networks through the observed input and output variables to ensure that the state estimation error system is asymptotically stable with a guaranteed L 2 – L ∞ performance.

TL;DR: In this article, an adaptive observer is designed to ensure the corresponding error system asymptotically stable, and based on the states obtained by the above observer, a nonlinear state feedback controller is constructed for the chaotic system, which, according to the input to state stable (ISS) principal, guarantees the closed-loop chaotic system is stable.

TL;DR: A stochastic intelligent optimization method based on the state transition algorithm is introduced to solve the SNL problem without additional assumptions and conditions on the problem structure and satisfactory simulation results show the effectiveness of the proposed approach.

TL;DR: In this article , an encapsulating LiPS electrolyte (EPSE) is proposed to suppress parasitic reactions based on a nano-heterogeneous solvation structure design of LiPSs.

TL;DR: This paper focuses on the problem of delay-dependent robust stochastic stability analysis and controller synthesis for Markovian jump systems with state and input delays by constructing a new Lyapunov-Krasovskii functional and introducing some appropriate slack matrices.