In this paper, the reliable control problem of nonlinear singularly perturbed systems subject
to random actuator faults is studied. A Takagi-Sugeno fuzzy model is utilized to describe the …

The problem of finite-horizon H∞ state estimator design for periodic neural networks over
multiple fading channels is studied in this paper. To characterize the measurement signals …

This paper concerns the stabilization problem of stochastic uncertain complex-valued
delayed networks (SUCVDNs) via aperiodically intermittent nonlinear control. It is worth …

The design of recursive estimation algorithms in networked systems is an important research
challenge from both theoretical and practical perspectives. The growing number of …

This paper investigates the distributed fusion estimation problem for networked systems
whose multisensor measured outputs involve uncertainties modelled by random parameter …

For human navigation, the ultra wide band (UWB)-based positioning technologies require
extra infrastructure, while the inertial navigation system (INS)-based ones produce drift …

This paper studies the problem of fault detection for linear discrete time-varying systems with
multiplicative noise in finite-horizon, where our main object is to provide an optimal fault …

Dynamic state estimation of a power system provides essential information about its inherent
dynamic change. Nonlinear Kalman filters (NKFs) have been identified as potential versatile …

This paper addresses the observer-based asynchronous control for Markov jump systems
with nonlinear term, disturbance and time delay. Firstly, a mixed observer is proposed to …

In this paper, the fault diagnosis problem is investigated for time-varying systems with
multiplicative noises over sensor networks. The system model is subject to state-and control …