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Your search keyword '"Hediene Jallouli"' showing total 9 results
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9 results on '"Hediene Jallouli"'

1. Finite-time stabilization for fractional-order inertial neural networks with time varying delays

Author

Chaouki Aouiti, Jinde Cao, Hediene Jallouli, and Chuangxia Huang

Subjects
inertial neural networks, finite-time stabilization, fractional-order system, Caputo fractional derivative and integral, Analysis, QA299.6-433
Abstract

This paper deals with the finite-time stabilization of fractional-order inertial neural network with varying time-delays (FOINNs). Firstly, by correctly selected variable substitution, the system is transformed into a first-order fractional differential equation. Secondly, by building Lyapunov functionalities and using analytical techniques, as well as new control algorithms (which include the delay-dependent and delay-free controller), novel and effective criteria are established to attain the finite-time stabilization of the addressed system. Finally, two examples are used to illustrate the effectiveness and feasibility of the obtained results.

Published
2022
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6. Fixed-time stabilization of fuzzy neutral-type inertial neural networks with time-varying delay

Author

Qing Hui, Chaouki Aouiti, Emmanuel Moulay, Hediene Jallouli, Université de Carthage - University of Carthage, University of Nebraska [Lincoln], University of Nebraska System, Systèmes et Réseaux Intelligents (XLIM-SRI), XLIM (XLIM), and Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
0209 industrial biotechnology, Inertial frame of reference, Artificial neural network, Dynamical systems theory, Logic, Feedback control, fuzzy neural networks, 02 engineering and technology, Inertial neural networks, Type (model theory), Fuzzy logic, time-varying delay, 020901 industrial engineering & automation, Artificial Intelligence, Control theory, Fixed time, fixed-time stability, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], Stability theorem, Mathematics
Abstract

International audience; This paper addresses the problem of fixed-time stabilization for a class of fuzzy neutral-type inertial neural networks (FNTINNs) with time-varying delay. By using a novel fixed-time stability theorem for dynamical systems, two different feedback control laws are designed to ensure the fixed-time stabilization of FNTINNs with time-varying delay. The proposed theoretical results can lead to a better upper settling-time estimation compared to existing results. Finally, three simulation examples are provided to illustrate the validity of the proposed theoretical results.

Published
2021

7. Sliding mode control-based fixed-time stabilization and synchronization of inertial neural networks with time-varying delays

Author

Emmanuel Moulay, Chaouki Aouiti, Qing Hui, and Hediene Jallouli

Subjects
0209 industrial biotechnology, Polynomial, Inertial frame of reference, Artificial neural network, Computer science, Mode (statistics), 02 engineering and technology, Function (mathematics), Sliding mode control, Synchronization, 020901 industrial engineering & automation, Artificial Intelligence, Control theory, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Gravitational singularity, Software
Abstract

In this article, we are interested in the fixed-time stabilization (FTSt) and fixed-time synchronization (FTSy) of a class of inertial neural networks with time-varying and distributed delays. To obtain FTSt and FTSy, sliding mode controllers are developed based on sliding mode control techniques and by using sliding variables. Two polynomial feedback control laws are exploited to achieve the FTSt and the FTSy but they are singular. To get rid of the singularities, the saturation function is used into the design of the controllers and the almost FTSt and almost FTSy are proved. Finally, numerical examples are presented to show the effectiveness of the theoretical results.

Published
2021

9. State feedback controllers based finite-time and fixed-time stabilisation of high order BAM with reaction–diffusion term

Author

Hediene Jallouli and Chaouki Aouiti

Subjects
Lyapunov function, 0209 industrial biotechnology, Artificial neural network, Computer science, 02 engineering and technology, Computer Science Applications, Theoretical Computer Science, Term (time), symbols.namesake, 020901 industrial engineering & automation, Control and Systems Engineering, Control theory, Reaction–diffusion system, 0202 electrical engineering, electronic engineering, information engineering, symbols, 020201 artificial intelligence & image processing, Bidirectional associative memory, State (computer science), High order, Finite time
Abstract

In this paper, we are interested in the finite time and fixed-time stabilisation of high order bidirectional associative memory neural networks (HOBAMNNs) with time delays and reaction–diffusion te...

Published
2020

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