scholarly journals Robust Adaptive Control via Neural Linearization and Compensation

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Roberto Carmona Rodríguez ◽  
Wen Yu
Keyword(s):  
Adaptive Control ◽  
Feedback Linearization ◽  
Dead Zone ◽  
Robust Adaptive Control ◽  
Dynamic Neural Networks ◽  
Neural Adaptive Control ◽  
New Type ◽  
Projection Techniques ◽  
Robust Adaptive ◽  
The Stability

We propose a new type of neural adaptive control via dynamic neural networks. For a class of unknown nonlinear systems, a neural identifier-based feedback linearization controller is first used. Dead-zone and projection techniques are applied to assure the stability of neural identification. Then four types of compensator are addressed. The stability of closed-loop system is also proven.

Robust adaptive control of a class of nonlinear systems with unknown dead-zone

Automatica ◽  
2004 ◽  
Vol 40 (3) ◽  
pp. 407-413 ◽  
Author(s):  
Xing-Song Wang ◽  
Chun-Yi Su ◽  
Henry Hong
Keyword(s):  
Adaptive Control ◽  
Nonlinear Systems ◽  
Dead Zone ◽  
Robust Adaptive Control ◽  
Robust Adaptive

An Efficient Robust Adaptive Control Law For Robot Manipulators

1996 ◽  
Vol 210 (4) ◽  
pp. 363-372 ◽  
Author(s):  
H Yu ◽  
S Lloyd
Keyword(s):  
Adaptive Control ◽  
Variable Structure ◽  
Robust Adaptive Control ◽  
Control Law ◽  
Computationally Efficient ◽  
Structure Control ◽  
Robust Adaptive ◽  
The Stability ◽  
Adaptive Control Algorithm ◽  
Adaptive Control Law

A computationally efficient robust adaptive control algorithm is proposed in this paper. The regressors are implemented using the desired trajectories to replace the actual trajectories in order to reduce the computational burden. To reduce the disturbance introduced by this replacement, an adaptive variable structure control law is proposed. The proposed adaptive control law results in a system that is robust to bounded input disturbances. A small modification of the control law makes the system robust to more general input disturbances. The stability analysis is in the Lyapunov sense. Simulation results demonstrate the validity of the proposed scheme.

Robust adaptive control for a class of nonlinear switched systems using state-dependent switching

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Naeimadeen Noghredani ◽  
Naser Pariz
Keyword(s):  
Adaptive Control ◽  
Switched Systems ◽  
Variable Structure ◽  
Robust Adaptive Control ◽  
Linear Matrix ◽  
Switching Rule ◽  
Nonlinear Switched Systems ◽  
State Dependent ◽  
Robust Adaptive ◽  
The Stability

AbstractThis paper presents a novel adaptive control for a class of nonlinear switched systems by introducing a sufficient condition for stabilization. Based on the possible instability of all sub-systems, a variable structure (VS) switching rule with an adaptive approach and sliding sector was offered. Moreover, the stability condition of the system can be determined by solving linear matrix inequalities (LMIs) to ensure asymptotic stability. The application of H∞ analysis of nonlinear switched systems was also investigated through the design of the mentioned adaptive control system and defining a VS switching rule. Finally, simulation results were presented to validate the novelty of the proposed method.

scholarly journals Robust Adaptive Control of Hydraulic System With Input Saturation and Valve Dead-Zone

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 53521-53532 ◽  
Author(s):  
Weiwei Gu ◽  
Jianyong Yao ◽  
Zhikai Yao ◽  
Jingzhong Zheng
Keyword(s):  
Adaptive Control ◽  
Hydraulic System ◽  
Dead Zone ◽  
Input Saturation ◽  
Robust Adaptive Control ◽  
Robust Adaptive
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