Command filter-based adaptive neural finite-time control for stochastic nonlinear systems with time-varying full-state constraints and asymmetric input saturation

Y Li, B Niu, G Zong, J Zhao, X Zhao - International Journal of …, 2022 - Taylor & Francis
This article studies a tracking control problem for a class of stochastic nonlinear systems with
time-varying full-state constraints and asymmetric input saturation. Firstly, the Gauss Error …

Observer-based finite-time adaptive fuzzy control with prescribed performance for nonstrict-feedback nonlinear systems

G Cui, J Yu, P Shi - IEEE Transactions on Fuzzy Systems, 2020 - ieeexplore.ieee.org
This article considers the problem of finite-time adaptive fuzzy prescribed performance
control (PPC) via output-feedback for nonstrict-feedback nonlinear systems. The fuzzy state …

Reinforcement learning control of a flexible two-link manipulator: An experimental investigation

W He, H Gao, C Zhou, C Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article discusses the control design and experiment validation of a flexible two-link
manipulator (FTLM) system represented by ordinary differential equations (ODEs). A …

Barrier Lyapunov function-based adaptive fuzzy FTC for switched systems and its applications to resistance–inductance–capacitance circuit system

L Liu, YJ Liu, D Li, S Tong… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this article, the adaptive fault-tolerant control (FTC) problem is solved for a switched
resistance–inductance–capacitance (RLC) circuit system. Due to the existence of faults …

Adaptive decentralized asymptotic tracking control for large-scale nonlinear systems with unknown strong interconnections

B Niu, J Liu, D Wang, X Zhao… - IEEE/CAA Journal of …, 2021 - ieeexplore.ieee.org
An adaptive decentralized asymptotic tracking control scheme is developed in this paper for
a class of large-scale nonlinear systems with unknown strong interconnections, unknown …

Command filtering‐based adaptive neural network control for uncertain switched nonlinear systems using event‐triggered communication

Z Chen, B Niu, L Zhang, J Zhao… - … Journal of Robust …, 2022 - Wiley Online Library
In this article, a command filtering‐based adaptive event‐triggered neural network control
scheme is proposed for a class of uncertain switched nonlinear systems with unknown …

Command filter based adaptive fuzzy finite-time control for a class of uncertain nonlinear systems with hysteresis

H Zhang, Y Liu, J Dai, Y Wang - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
This article addresses an adaptive fuzzy finite-time control for a class of uncertain strict-
feedback nonlinear systems with backlashlike hysteresis and stochastic disturbances. At …

Multiple Lyapunov functions for adaptive neural tracking control of switched nonlinear nonlower-triangular systems

B Niu, Y Liu, W Zhou, H Li, P Duan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, the problem of adaptive neural tracking control for a type of uncertain switched
nonlinear nonlower-triangular system is considered. The innovations of this paper are …

Event-triggered security output feedback control for networked interconnected systems subject to cyber-attacks

Z Gu, JH Park, D Yue, ZG Wu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article studies the security of networked interconnected systems (NISs) subject to cyber-
attacks based on a new event-triggered mechanism (ETM). NISs with spatially distributed …

Event-triggered fixed-time practical tracking control for flexible-joint robot

Y Xie, Q Ma, J Gu, G Zhou - IEEE Transactions on Fuzzy …, 2022 - ieeexplore.ieee.org
This article studies the adaptive fuzzy event-triggered fixed-time practical tracking control
problem for flexible-joint robot system. Since the nonlinearities of the system are difficult to …