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.

Direct and Indirect Adaptive Control

1978 ◽  
Vol 11 (1) ◽  
pp. 1981-1987 ◽  
Author(s):  
Kumpati S. Narendra ◽  
Lena S. Valavani
Keyword(s):  
Adaptive Control ◽  
Indirect Adaptive Control

scholarly journals Indirect Adaptive Control for Higher Order Sliding Mode

2018 ◽  
Vol 51 (13) ◽  
pp. 591-596 ◽  
Author(s):  
Alexander Barth ◽  
Johann Reger ◽  
Jaime A. Moreno
Keyword(s):  
Adaptive Control ◽  
Sliding Mode ◽  
Higher Order ◽  
Indirect Adaptive Control
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