Peng Shi

TL;DR: In this paper, the delta operator Kalman filter is designed to estimate the state vectors of a delta operator system, which can express both continuous-time and discrete-time cases.

TL;DR: In this article, the authors studied the problem of stochastic stability and disturbance attenuation for a class of linear continuous-time uncertain systems with Markovian jumping parameters, where the uncertainties are assumed to be nonlinear and state, control and external disturbance dependent.

TL;DR: This paper studies the problem of robust H"~ filtering for a class of uncertain discrete-time nonhomogeneous Markov jump systems with time-varying jump transition probability matrix by Lyapunov function approach and mode-dependent and variation-dependent H" ~ filter designed such that the resulting error dynamic system is stochastically stable and has a prescribed H" (~ performance index.

TL;DR: To reduce the computational complexity of the algorithm, a dissipative estimator is designed to ensure stochastic dissipativity of the error fuzzy jump neural networks.

TL;DR: This paper is concerned with the problem of mixed H 2 / H ∞ filter design for discrete LRPs with its application to fault detection, and the corresponding fault-detection filter design is cast into a convex optimization problem which can be efficiently handled by using the standard softwares.