Jun Hu

TL;DR: This paper investigates the robust sliding mode control (SMC) problem for a class of uncertain nonlinear stochastic systems with mixed time delays by employing the idea of delay fractioning and constructing a new Lyapunov-Krasovskii functional.

TL;DR: This paper designs a time-varying state estimator such that, in the presence of the missing measurements and the random disturbances, an upper bound of the estimation error covariance can be guaranteed and the explicit expression of the estimator parameters is given.

TL;DR: This article is concerned with the recursive finite-horizon filtering problem for a class of nonlinear time-varying systems subject to multiplicative noises, missing measurements and quantisation effects, and the design of a recursive filter such that an upper bound for the filtering error covariance is guaranteed and such anupper bound is subsequently minimised by properly designing the filter parameters at each sampling instant.

TL;DR: The extended Kalman filtering problem is investigated for a class of nonlinear systems with multiple missing measurements over a finite horizon and it is shown that the desired filter can be obtained in terms of the solutions to two Riccati-like difference equations that are of a form suitable for recursive computation in online applications.

TL;DR: In the framework of the networked control systems (NCSs), the components are connected with each other over a shared band-limited network as mentioned in this paper, and the merits of NCSs include easy extensibility, resource availability, and low power consumption.