Dynamic surface control using neural networks for a class of uncertain nonlinear systems with input saturation
In this paper, a dynamic surface control (DSC) scheme is proposed for a class of uncertain
strict-feedback nonlinear systems in the presence of input saturation and unknown external …
strict-feedback nonlinear systems in the presence of input saturation and unknown external …
Observer-based adaptive fuzzy tracking control of MIMO stochastic nonlinear systems with unknown control directions and unknown dead zones
Y Li, S Tong, T Li - IEEE Transactions on Fuzzy Systems, 2014 - ieeexplore.ieee.org
In this paper, an adaptive fuzzy backstepping output-feedback tracking control approach is
proposed for a class of multi-input and multi-output (MIMO) stochastic nonlinear systems …
proposed for a class of multi-input and multi-output (MIMO) stochastic nonlinear systems …
Observed-based adaptive finite-time tracking control for a class of nonstrict-feedback nonlinear systems with input saturation
This paper concentrates upon the problem of adaptive neural finite-time tracking control for
uncertain nonstrict-feedback nonlinear systems with input saturation. The design difficulty of …
uncertain nonstrict-feedback nonlinear systems with input saturation. The design difficulty of …
Global neural dynamic surface tracking control of strict-feedback systems with application to hypersonic flight vehicle
This paper studies both indirect and direct global neural control of strict-feedback systems in
the presence of unknown dynamics, using the dynamic surface control (DSC) technique in a …
the presence of unknown dynamics, using the dynamic surface control (DSC) technique in a …
Command filter-based adaptive fuzzy control for nonlinear systems with unknown control directions
J Xia, J Zhang, J Feng, Z Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
To deal with a class of nonlinear systems with unknown control directions, a command filter-
based adaptive tracking controller is designed in this paper. In the design process, fuzzy …
based adaptive tracking controller is designed in this paper. In the design process, fuzzy …
Observer-based adaptive fuzzy backstepping dynamic surface control for a class of MIMO nonlinear systems
In this paper, an adaptive fuzzy backstepping dynamic surface control (DSC) approach is
developed for a class of multiple-input-multiple-output nonlinear systems with immeasurable …
developed for a class of multiple-input-multiple-output nonlinear systems with immeasurable …
Adaptive neural backstepping control design for a class of nonsmooth nonlinear systems
This paper investigates the problems of backstepping control for a class of nonsmooth
nonlinear systems. With the help of set-valued functions (or maps) and set-valued …
nonlinear systems. With the help of set-valued functions (or maps) and set-valued …
Adaptive output-feedback neural control of switched uncertain nonlinear systems with average dwell time
This paper investigates the problem of adaptive neural tracking control via output-feedback
for a class of switched uncertain nonlinear systems without the measurements of the system …
for a class of switched uncertain nonlinear systems without the measurements of the system …
Adaptive fuzzy output feedback control of MIMO nonlinear systems with unknown dead-zone inputs
S Tong, Y Li - IEEE Transactions on Fuzzy Systems, 2012 - ieeexplore.ieee.org
This paper is concerned with the problem of adaptive fuzzy tracking control for a class of
multi-input and multi-output (MIMO) strict-feedback nonlinear systems with both unknown …
multi-input and multi-output (MIMO) strict-feedback nonlinear systems with both unknown …
Fuzzy-approximation-based adaptive output-feedback control for uncertain nonsmooth nonlinear systems
This paper proposes a solution to adaptive output-feedback control for a class of nonsmooth
nonlinear systems. First, the concept of semiglobally uniformly ultimately bounded (SGUUB) …
nonlinear systems. First, the concept of semiglobally uniformly ultimately bounded (SGUUB) …