Fuzzy approximation based asymptotic tracking control for a class of uncertain switched nonlinear systems
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 …
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 …
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
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 …
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
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 …
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 …
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
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 …
for a class of stochastic nonstrict-feedback nonlinear switched systems with completely …
Switching stabilization for a class of slowly switched systems
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 …
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
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 …
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
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 …
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
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 …
controller design for a class of uncertain switched nonlinear stochastic systems in lower …