Global output-feedback prescribed performance control of nonlinear systems with unknown virtual control coefficients

JX Zhang, QG Wang, W Ding - IEEE Transactions on Automatic …, 2021 - ieeexplore.ieee.org
This article is concerned with the output-feedback tracking control problem for a class of
nonlinear systems. The challenge lies in how to drive the tracking error to a prescribed …

Low-complexity tracking control of strict-feedback systems with unknown control directions

JX Zhang, GH Yang - IEEE Transactions on Automatic Control, 2019 - ieeexplore.ieee.org
This paper focuses on the problem of output tracking with prescribed transient and steady-
state performance for strict-feedback systems with unknown nonlinear functions and …

Saturation-tolerant prescribed control for nonlinear systems with unknown control directions and external disturbances

R Ji, SS Ge, D Li - IEEE Transactions on Cybernetics, 2023 - ieeexplore.ieee.org
In this article, saturation-tolerant prescribed control (SPC) is investigated for a class of
multiinput–multioutput (MIMO) nonlinear systems. The key challenge lies in how to …

Adaptive control of a class of strict-feedback time-varying nonlinear systems with unknown control coefficients

J Huang, W Wang, C Wen, J Zhou - Automatica, 2018 - Elsevier
In this paper, robust adaptive control of a class of strict-feedback nonlinear systems with
unknown control directions is investigated. A novel Nussbaum-type function is developed …

Global finite-time adaptive stabilization for nonlinear systems with multiple unknown control directions

J Wu, W Chen, J Li - Automatica, 2016 - Elsevier
In this paper, the problem of global finite-time stabilization is addressed for a class of
nonlinear systems with multiple unknown control directions. Unlike all the existing works on …

Adaptive fuzzy resilient control for switched systems with state constraints under deception attacks

H He, W Qi, H Yan, J Cheng, K Shi - Information Sciences, 2023 - Elsevier
This paper studies an adaptive fuzzy resilient control strategy for switched systems with
deception attacks and state constraints. With the deception attacks on both the sensors and …

Neural network controller design for fractional-order systems with input nonlinearities and asymmetric time-varying Pseudo-state constraints

F Zouari, A Ibeas, A Boulkroune, CAO **de… - Chaos, Solitons & …, 2021 - Elsevier
This article considers the neural adaptive control issues of a category of non-integer-order
non-square plants with actuator Nonlinearities and Asymmetric Time-Varying pseudo-State …

Saturation-tolerant prescribed control for nonlinear time-delay systems

R Ji, D Li, SS Ge - IEEE Transactions on Fuzzy Systems, 2022 - ieeexplore.ieee.org
This article studies the problem of saturation-tolerant prescribed control (SPC) for a class of
nonlinear time-delay systems with unknown control directions. We propose a unified finite …

Integral reinforcement learning-based adaptive NN control for continuous-time nonlinear MIMO systems with unknown control directions

X Guo, W Yan, R Cui - IEEE Transactions on Systems, Man …, 2019 - ieeexplore.ieee.org
In this paper, an integral reinforcement learning-based adaptive neural network (NN)
tracking control is developed for the continuous-time (CT) nonlinear system with unknown …

Self‐triggered adaptive neural control for USVs with sensor measurement sensitivity under deception attacks

C Wu, G Zhu, Y Liu, F Li - Journal of Field Robotics, 2025 - Wiley Online Library
This article investigates the control problem of unmanned surface vessels with sensor
measurement sensitivity under deception attacks, and proposes a novel self‐triggered …