scholarly journals Hybrid Direct-Indirect Adaptive Control of Nonlinear System with Unmatched Uncertainty

2019 ◽  
Author(s):  
Girish Joshi ◽  
Girish Chowdhary
Keyword(s):  
Adaptive Control ◽  
Nonlinear System ◽  
Unmatched Uncertainty ◽  
Indirect Adaptive Control

Indirect adaptive control of nonlinear system via dynamic multilayer neural networks with multi-time scales

2014 ◽  
Vol 29 (4) ◽  
pp. 505-523 ◽  
Author(s):  
Dong-Dong Zheng ◽  
Zhi-Jun Fu ◽  
Wen-Fang Xie ◽  
Wei-Dong Luo
Keyword(s):  
Neural Networks ◽  
Adaptive Control ◽  
Nonlinear System ◽  
Time Scales ◽  
Multilayer Neural Networks ◽  
Indirect Adaptive Control

An Averaging Analysis of Discrete-Time Indirect Adaptive Control

1988 ◽  
Author(s):  
Stephen M. Phillips ◽  
Robert L. Kosut ◽  
Gene F. Franklin
Keyword(s):  
Adaptive Control ◽  
Discrete Time ◽  
Indirect Adaptive Control ◽  
Averaging Analysis

Stability analysis of adaptive control using fuzzy adapting rate neural emulator: Experimental validation on a thermal process

2021 ◽  
pp. 095965182098818
Author(s):  
Fatma Ezzahra Rhili ◽  
Asma Atig ◽  
Ridha Ben Abdennour ◽  
Fabrice Druaux ◽  
Dimitri Lefebvre
Keyword(s):  
Adaptive Control ◽  
Control Strategy ◽  
Thermal Process ◽  
Experimental Validation ◽  
Experimental Simulation ◽  
Neural Controller ◽  
Control Scheme ◽  
Stability Method ◽  
Indirect Adaptive Control ◽  
Adaptive Control Scheme

In this study, an adaptive control based on fuzzy adapting rate for neural emulator of nonlinear systems having unknown dynamics is proposed. The indirect adaptive control scheme is composed by the neural emulator and the neural controller which are connected by an autonomous algorithm inspired from the real-time recurrent learning. In order to ensure stability and faster convergence, a neural controller adapting rate is established in the sense of the continuous Lyapunov stability method. Numerical simulations are included to illustrate the effectiveness of the proposed method. The performance of the proposed control strategy is also demonstrated through an experimental simulation.

On Adaptive Control for AGV with Vision Sensor as an Unknown Nonlinear System

2018 ◽  
pp. 265-277
Author(s):  
Pankaj Kumar Mishra ◽  
Pooja Agrawal ◽  
Narendra Kumar Dhar ◽  
Nishchal K. Verma
Keyword(s):  
Adaptive Control ◽  
Nonlinear System ◽  
Vision Sensor

scholarly journals Adaptive control of a simple nonlinear system without a priori information on the plant parameters

1992 ◽  
Vol 37 (1) ◽  
pp. 30-37 ◽  
Author(s):  
R. Lozano ◽  
B. Brogliato
Keyword(s):  
Adaptive Control ◽  
Nonlinear System ◽  
A Priori ◽  
A Priori Information ◽  
Priori Information

Combined direct and indirect adaptive control of constrained robots

1997 ◽  
Vol 68 (5) ◽  
pp. 955-970 ◽  
Author(s):  
H. Yu ◽  
S. Lloyd
Keyword(s):  
Adaptive Control ◽  
Constrained Robots ◽  
Indirect Adaptive Control
Sign in / Sign up

Export Citation Format

Share Document