This paper investigates the problem of distributed event-triggered H∞ filtering over sensor
networks with sensor saturations and cyber-attacks. By taking the effects of sensor …

A two-joint coupling nonlinear system driven by pneumatic artificial muscles is introduced in
this paper. A sliding mode controller with extended state observer is proposed to cope with …

This study considers the network-based H∞ state estimation problem for neural networks
where transmitted measurements suffer from the sampling effect, external disturbance …

This paper studies the finite-time H _ ∞ H∞ stability analysis of uncertain network-based
control systems under random data packet dropout and varying network delay. The system …

This paper is concerned with the event-triggered nonfragile H∞ filtering of Markov jump
systems with interval variations. Integrating the sampler failure into the filter design, two …

This paper is concerned with event-triggered non-fragile state estimator design for delayed
neural networks subject to randomly occurring sensor nonlinearity. Different from the …

This paper focuses on the synchronization problem of semi-Markovian jumping complex
dynamical networks with time-varying coupling delays against actuator failures. In an aim to …

An adjustable quantized approach is adopted to treat the H _ ∞ H∞ sliding mode control of
Markov jump systems with general transition probabilities. To solve this problem, an integral …

Considering that state distribution obeys a generalized Gaussian distribution, it cannot be
accurately estimated using only the mean error criterion or mean square error criterion …

This paper investigates the decentralized output feedback control problem for Markovian
jump interconnected systems with unknown interconnections and measurement errors …