Recursive filtering for nonlinear systems, one of the core technologies of modern industrial
systems, is an ever-increasing research topic from the control and computer communities …

In industrial systems, the multi-rate sampling strategy has been widely used due to the
advantage in balancing cost and performance as well as the psychical characteristics of the …

Time-varying formation tracking control problems for the multi-UAV system are investigated
in this paper, where a leader with dynamic input is considered. Based on the sliding mode …

In this article, the fault-tolerant consensus control problem is investigated for multiagent
systems with sensor faults. A first-order difference equation is utilized to describe the sensor …

Abstract The Unscented Kalman filter (UKF) based on maximum correntropy criterion (MCC)
is robust to heavy-tailed non-Gaussian noise. However, the approximate linear …

This paper studies the disturbance-observer-based adaptive neural network cooperative
event-triggered control problem for six-rotor unmanned aerial vehicles with finite-time …

Accurate vehicle sideslip angle estimation is crucial for vehicle stability control. In this article,
an enabling event-triggered sideslip angle estimator is proposed by using the kinematic …

This article devises a fixed-time distributed adaptive formation control algorithm under the
event-triggered framework to guarantee the expected formation pattern for multiple …

The nonlinear filtering problem has enduringly been an active research topic in both
academia and industry due to its ever-growing theoretical importance and practical …

This article is concerned with the distributed state estimation problem over wireless sensor
networks (WSNs), where each smart sensor is capable of harvesting energy from the …