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

scholarly journals Discrete Time Indirect Adaptive Control

1982 ◽  
Vol 18 (3) ◽  
pp. 232-237
Author(s):  
Kunihiko ICHIKAWA ◽  
Satoru YUKIE ◽  
Yuzo YAMANE
Keyword(s):  
Adaptive Control ◽  
Discrete Time ◽  
Indirect Adaptive Control

scholarly journals Indirect Adaptive Control for Discrete-Time Nonlinear Systems based on T-S Fuzzy Model

2016 ◽  
Vol 143 (9) ◽  
pp. 43-49
Author(s):  
Khouloud Elloumi ◽  
Mohamed Jemel ◽  
Mohamed Chtourou
Keyword(s):  
Adaptive Control ◽  
Nonlinear Systems ◽  
Discrete Time ◽  
Fuzzy Model ◽  
Indirect Adaptive Control

Stable indirect adaptive control based on discrete-time T–S fuzzy model

2008 ◽  
Vol 159 (8) ◽  
pp. 900-925 ◽  
Author(s):  
Ruiyun Qi ◽  
Mietek A. Brdys
Keyword(s):  
Adaptive Control ◽  
Discrete Time ◽  
Fuzzy Model ◽  
Indirect Adaptive Control

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.

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