Multi-sensor filtering fusion (MSFF) is a fascinating subject in the realm of networked filtering
due to its advantage of effectively integrating sensor outputs from multiple sources. Owing to …

In this paper, an adaptive fault-tolerant control (FTC) strategy is proposed for a class of high-
order fully-actuated (HOFA) systems. A pre-closed-loop treatment is presented to simplify the …

This study presents a new approach for state of health (SOH) estimation and degradation
trend prediction of proton exchange membrane fuel cells (PEMFCs) considering model …

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 proposes a variational Bayesian-based cubature Kalman filter to solve the state
estimation problem of nonlinear discrete-time systems under dynamic model mismatch and …

Observability is a fundamental structural property of any dynamic system and describes the
possibility of reconstructing the state that characterizes the system from fusing the …

How to select the optimisation criterion of the performance function is a pivotal research
topic for the uncertain differential game. The Hurwicz criterion is a flexible optimisation …

This paper investigates the recursive filtering problem for a class of networked systems
subject to the uniform quantization effects and stochastic transmission delays. The system …

The joint state and actuator fault estimation problem is investigated in this paper for a type of
networked systems subject to loss of the actuator effectiveness (LAE). A so-called improved …

The efficiency of the hardware implementations of fractional Kalman filter (FKF) heavily
relies on the efficiency of realising the fractional‐order derivative operator. In this paper, a …