Adaptive control design using stability analysis and tracking errors dynamics for nonlinear square MIMO systems

Authors:
Asma Atig;Fabrice Druaux;Dimitri Lefebvre;Kamel Abderrahim;Ridha Ben Abdennour
Affiliations:
GREAH, Université du Havre, 25 rue Philippe Lebon, 76063 Le Havre, France and CONPRI, Université du Gabès, Ecole Nationale d'ingénieurs de Gabès (ENIG), Rue Omar Ibn Khatt ...;GREAH, Université du Havre, 25 rue Philippe Lebon, 76063 Le Havre, France;GREAH, Université du Havre, 25 rue Philippe Lebon, 76063 Le Havre, France;CONPRI, Université du Gabès, Ecole Nationale d'ingénieurs de Gabès (ENIG), Rue Omar Ibn Khattab, 6029, Gabès, Tunisia;CONPRI, Université du Gabès, Ecole Nationale d'ingénieurs de Gabès (ENIG), Rue Omar Ibn Khattab, 6029, Gabès, Tunisia
Venue:
Engineering Applications of Artificial Intelligence
Year:
2012

Citing 15
Cited 0

Adaptive state representation and estimation using recurrent connectionist networks

Neural networks for control
Brief paper: Nonlinear multivariable adaptive control using multiple models and neural networks

Automatica (Journal of IFAC)
A learning algorithm for continually running fully recurrent neural networks

Neural Computation
Brief paper: Neural network compensation control for mechanical systems with disturbances

Automatica (Journal of IFAC)
Stable adaptive control with recurrent neural networks for square MIMO non-linear systems

Engineering Applications of Artificial Intelligence
Adaptive controller with fuzzy rules emulated structure and its applications

Engineering Applications of Artificial Intelligence
Autonomous learning algorithm for fully connected recurrent networks

Neurocomputing
Observer-based robust adaptive interval type-2 fuzzy tracking control of multivariable nonlinear systems

Engineering Applications of Artificial Intelligence
Bounded neuro-control position regulation for a geared DC motor

Engineering Applications of Artificial Intelligence
Robust neural adaptive stabilization of unknown systems withmeasurement noise

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Neural network adaptive robust control of nonlinear systems in semi-strict feedback form

Automatica (Journal of IFAC)
Stable adaptive control with recurrent networks

Automatica (Journal of IFAC)
An adaptive tracking controller using neural networks for a class of nonlinear systems

IEEE Transactions on Neural Networks
Direct adaptive NN control of a class of nonlinear systems

IEEE Transactions on Neural Networks
Identification and control of dynamical systems using neural networks

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper investigates adaptive control design for nonlinear square MIMO systems. The control scheme is based on recurrent neural networks emulator and controller with decoupled adaptive rates. Networks' parameters are updated according to an autonomous algorithm inspired from the Real Time Recurrent Learning (RTRL). The contributions of this paper are the determination of Lyapunov sufficient stability conditions for decoupled adaptive rates of the emulator and controller and the development of new adaptation strategies based on the tracking error dynamics and Lyapunov stability analysis to improve the closed loop performances. Efficiency of the proposed controller is illustrated with nonlinear system simulations. An application of the developed approaches to a hot-air blower is presented in order to validate simulations results.