Adaptive tracking control of hybrid switching Markovian systems with its applications

D Yang, G Zong, Y Shi, P Shi - SIAM Journal on Control and Optimization, 2023 - SIAM
This paper focuses on the model reference adaptive tracking control problem of uncertain
hybrid switching Markovian systems. The stochastic multiple piecewise Lyapunov function …

Observer‐based adaptive fuzzy hierarchical sliding mode control of uncertain under‐actuated switched nonlinear systems with input quantization

H Zhang, X Zhao, L Zhang, B Niu… - International Journal of …, 2022 - Wiley Online Library
In this article, an observer‐based adaptive fuzzy hierarchical sliding mode control (HSMC)
scheme is put forward for uncertain under‐actuated switched nonlinear systems in the …

Adaptive neural-network boundary control for a flexible manipulator with input constraints and model uncertainties

Y Ren, Z Zhao, C Zhang, Q Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article develops an adaptive neural-network (NN) boundary control scheme for a
flexible manipulator subject to input constraints, model uncertainties, and external …

Bumpless Transfer H∞ Anti-Disturbance Control of Switching Markovian LPV Systems Under the Hybrid Switching

D Yang, G Zong, SK Nguang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article focuses on the bumpless transfer anti-disturbance control problem for switching
Markovian LPV systems under a hybrid switching law. A parameter-dependent multiple …

Adaptive neural network backstepping control of fractional-order nonlinear systems with actuator faults

H Liu, Y Pan, J Cao, H Wang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Backstepping control for fractional-order nonlinear systems (FONSs) requires the analytic
calculation of fractional derivatives of certain complicated stabilizing functions, which …

Adaptive finite-time neural network control of nonlinear systems with multiple objective constraints and application to electromechanical system

L Liu, W Zhao, YJ Liu, S Tong… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article investigates an adaptive finite-time neural control for a class of strict feedback
nonlinear systems with multiple objective constraints. In order to solve the main challenges …

Event-triggered control of discrete-time zero-sum games via deterministic policy gradient adaptive dynamic programming

Y Zhang, B Zhao, D Liu, S Zhang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In order to address zero-sum game problems for discrete-time (DT) nonlinear systems, this
article develops a novel event-triggered control (ETC) approach based on the deterministic …

H Tracking Control of Uncertain Markovian Hybrid Switching Systems: A Fuzzy Switching Dynamic Adaptive Control Approach

D Yang, G Zong, SF Su - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
This article investigates the stochastic tracking control problem for uncertain fuzzy Markovian
hybrid switching systems by using a fuzzy switching dynamic adaptive control approach. The …

Output-feedback adaptive neural network control for uncertain nonsmooth nonlinear systems with input deadzone and saturation

G Zong, Q Xu, X Zhao, SF Su… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Nonsmooth nonlinear systems can model many practical processes with discontinuous
property and are difficult to be stabilized by classical control methods like smooth nonlinear …

Switched-observer-based adaptive output-feedback control design with unknown gain for pure-feedback switched nonlinear systems via average dwell time

Y Chang, P Zhou, B Niu, H Wang, N Xu… - … Journal of Systems …, 2021 - Taylor & Francis
This paper studies the problem of adaptive fuzzy tracking control for a class of pure-
feedback switched nonlinear systems with unknown gain. First, the studied system is …