A neural-based adaptive control method study on a class of nonaffine nonlinear systems

2004 ◽  
Author(s):  
Jinhua Wu ◽  
Hongxing Liu ◽  
Jing Tang
Keyword(s):  
Adaptive Control ◽  
Nonlinear Systems ◽  
Control Method ◽  
Nonaffine Nonlinear Systems

Linear adaptive control of a class of SISO nonaffine nonlinear systems

2013 ◽  
Vol 45 (12) ◽  
pp. 2490-2498 ◽  
Author(s):  
Ahsene Boubakir ◽  
Salim Labiod ◽  
Fares Boudjema ◽  
Franck Plestan
Keyword(s):  
Adaptive Control ◽  
Nonlinear Systems ◽  
Nonaffine Nonlinear Systems ◽  
Linear Adaptive Control

Event-triggered Neural Network-Based Adaptive Control for a Class of Uncertain Nonlinear Systems

2021 ◽  
pp. 2150275
Author(s):  
Hui Hu ◽  
Yang Li ◽  
Wei Yi ◽  
Yuebiao Wang ◽  
Fan Qu ◽  
...  
Keyword(s):  
Neural Network ◽  
Adaptive Control ◽  
Nonlinear Systems ◽  
Control Method ◽  
Uncertain Nonlinear Systems ◽  
Network Resource ◽  
Lyapunov Approach ◽  
Stability Method ◽  
The Stability ◽  
Event Triggered

In the paper, an event triggering adaptive control method based on neural network (NN) is proposed for a class of uncertain nonlinear systems with external disturbances. In order to reduce the network resource utilization, a novel event-triggered condition by the Lyapunov approach is proposed. In addition, the NN controller and adaptive parameters determined by the Lyapunov stability method are updated only at triggered instants to reduce the amount of calculation. Only one NN is used as the controller in the entire system. The stability analysis results of the closed-loop system are obtained by the Lyapunov approach, which shows that all the signals in the systems with bounded disturbance are semi-globally bounded. Zeno behavior is avoided. Finally, the analytical design is confirmed by the simulation results on a two-link robotic manipulator.

scholarly journals Adaptive Control for Pure-Feedback Nonlinear Systems Preceded by Asymmetric Hysteresis

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4675 ◽  
Author(s):  
Xiaohuan Lai ◽  
Haipeng Pan ◽  
Xinlong Zhao
Keyword(s):  
Adaptive Control ◽  
Nonlinear Systems ◽  
Control Method ◽  
Controller Design ◽  
State Variables ◽  
External Disturbances ◽  
Hysteresis Nonlinearity ◽  
Control Scheme ◽  
Factor State ◽  
Asymmetric Factor

An adaptive control scheme is proposed for a class of uncertain pure-feedback nonlinear systems preceded by asymmetric hysteresis nonlinearity. The asymmetric property is described by the modified Bouc-Wen model based on the proposed asymmetric factor. State variables in the controller design are directly replaced with nonaffine functions to address the control problem caused by nonaffine appearance. Moreover, the control method can handle systems with external disturbances and guarantee the global stability of all the signals in the closed-loop system. The feasibility of the control scheme is verified by a simulation example and experimental results.

Sign in / Sign up

Export Citation Format

Share Document