In this technical note, the asymptotic stability analysis and state-feedback control design are
investigated for a class of discrete-time switched nonlinear systems via the smooth …

This study is concerned with the adaptive neural network (NN) observer design problem for
continuous-time switched systems via quantized output signals. A novel NN observer is …

This paper studies the problem of data-driven control for discrete-time piecewise affine
(PWA) systems. Based on a sequel of sampled control inputs and states with satisfactory …

This paper investigates the finite-time static output feedback control of Markovian switching
systems, where quantization effects are taken into consideration from plant to controller and …

This article studies the event-triggered stochastic synchronization problem for neutral-type
semi-Markovian jump (SMJ) neural networks with partial mode-dependent additive time …

This paper proposes a design of a direct optimal control for a class of multi-input–multi-
output (MIMO) nonlinear systems. This work focuses on the design of optimal model-free …

In this paper, the optimal control problem of a class of unknown Markov jump systems
(MJSs) is investigated via the parallel policy iteration-based reinforcement learning (PPI-RL) …

This article presents the analysis and design problems of event‐based (EB) finite‐time (FT)
H∞ filtering for discrete‐time singular Markov jump network systems (SMNSs) based on …

This paper, by designing a state quantized sampled-data controller, studies the issue of
stochastic stabilization for fuzzy chaotic semi-Markov jump systems (FCSMJSs). First of all …

This article presents a novel self-healing fault accommodation framework for high-order fully
actuated systems (HOFASs) with sensor faults. Starting from the HOFAS model with …