Fuzzy approximation based asymptotic tracking control for a class of uncertain switched nonlinear systems

X Zhao, X Wang, L Ma, G Zong - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
The problem of asymptotic tracking control for a class of uncertain switched nonlinear
systems under fuzzy approximation framework is solved in this paper. Superior to most …

Adaptive fuzzy tracking control design for SISO uncertain nonstrict feedback nonlinear systems

S Tong, Y Li, S Sui - IEEE Transactions on Fuzzy Systems, 2016 - ieeexplore.ieee.org
This paper investigates an adaptive fuzzy tracking control design problem for single-input
and single-output uncertain nonstrict feedback nonlinear systems. For the cases of the states …

Neural network-based finite-time command filtering control for switched nonlinear systems with backlash-like hysteresis

C Fu, QG Wang, J Yu, C Lin - IEEE Transactions on Neural …, 2020 - ieeexplore.ieee.org
This brief is concerned with the finite-time tracking control problem for switched nonlinear
systems with arbitrary switching and hysteresis input. The neural networks are utilized to …

Fuzzy-based multierror constraint control for switched nonlinear systems and its applications

L Liu, YJ Liu, S Tong - IEEE Transactions on Fuzzy Systems, 2018 - ieeexplore.ieee.org
In this paper, a framework of adaptive control for a switched nonlinear system with multiple
prescribed performance bounds is established using an improved dwell time technique …

Barrier Lyapunov function-based adaptive asymptotic tracking of nonlinear systems with unknown virtual control coefficients

YX Li - Automatica, 2020 - Elsevier
This paper is devoted to the adaptive asymptotic tracking control for a class of uncertain
nonlinear systems with parametric uncertainties. The presence of unknown virtual control …

Adaptive neural state-feedback tracking control of stochastic nonlinear switched systems: An average dwell-time method

B Niu, D Wang, ND Alotaibi… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, the problem of adaptive neural state-feedback tracking control is considered
for a class of stochastic nonstrict-feedback nonlinear switched systems with completely …

Switching stabilization for a class of slowly switched systems

X Zhao, S Yin, H Li, B Niu - IEEE Transactions on Automatic …, 2014 - ieeexplore.ieee.org
In this technical note, the problem of switching stabilization for slowly switched linear
systems is investigated. In particular, the considered systems can be composed of all …

Deep hybrid model‐based predictive control with guarantees on domain of applicability

MSF Bangi, JSI Kwon - AIChE Journal, 2023 - Wiley Online Library
A hybrid model integrates a first‐principles model with a data‐driven model which predicts
certain unknown dynamics of the process, resulting in higher accuracy than first‐principles …

Adaptive fuzzy tracking control for a class of strict-feedback nonlinear systems with time-varying input delay and full state constraints

T Wang, J Wu, Y Wang, M Ma - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
This article investigates the adaptive fuzzy tracking control problem for a class of strict-
feedback nonlinear systems with time-varying input delay and full state constraints. By using …

Adaptive output-feedback controller design for switched nonlinear stochastic systems with a modified average dwell-time method

B Niu, HR Karimi, H Wang, Y Liu - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper considers the problem of adaptive fuzzy backstepping-based output-feedback
controller design for a class of uncertain switched nonlinear stochastic systems in lower …