Q Yao, Y Tian, Q Wang, S Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Autonomous vehicle technology aims to improve driving safety, driving comfort, and its economy, as well as reduce traffic accident rate. As the basic part of autonomous vehicle …
W Qi, Y Hou, G Zong, CK Ahn - IEEE Transactions on Circuits …, 2021 - ieeexplore.ieee.org
This paper addresses the finite-time event-triggered control problem for nonlinear semi- Markovian switching cyber-physical systems (S-MSCPSs) under false data injection (FDI) …
Based on the interval type-2 fuzzy (IT2F) approach, this article investigates the fault detection filter design problem for a class of nonhomogeneous higher level Markov jump …
In this article, the problem of the asynchronous fault detection (FD) observer design is discussed for 2-D Markov jump systems (MJSs) expressed by a Roesser model. In general …
This paper concerns the issue of finite-time dissipative asynchronous output feedback control for a wind turbine system that can be modelled as Markov jump Lur'e systems. Due to …
This article addresses the design issue of fuzzy asynchronous fault detection filter (FAFDF) for a class of nonlinear Markov jump systems by an event-triggered (ET) scheme. The ET …
S Xie, Q Chen - IEEE Transactions on Circuits and Systems II …, 2021 - ieeexplore.ieee.org
This article proposes a novel adaptive nonsingular predefined-time control strategy for rigid spacecrafts with inertia uncertainties. Following the backstepping recursive design …
Q Zheng, S Xu, B Du - IEEE Transactions on Fuzzy Systems, 2021 - ieeexplore.ieee.org
The quantized guaranteed cost static output feedback control problem is investigated for a class of discrete-time nonlinear networked control systems in this article. In this article, the …
W Tai, X Li, J Zhou, S Arik - Neural Networks, 2023 - Elsevier
The asynchronous dissipative stabilization for stochastic Markov-switching neural networks (SMSNNs) is investigated. The aim is to design an output-feedback controller with …