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17 results on '"Assali, El Abed"'

11. Finite-Time and Fixed-Time Synchronization of Inertial Neural Networks with Mixed Delays

Author

Assali El Abed and Aouiti Chaouki

Subjects
Lyapunov function, 0209 industrial biotechnology, Inertial frame of reference, Artificial neural network, Computer science, Substitution (logic), Complex system, 02 engineering and technology, symbols.namesake, Variable (computer science), 020901 industrial engineering & automation, Control theory, Fixed time, Synchronization (computer science), 0202 electrical engineering, electronic engineering, information engineering, Computer Science (miscellaneous), symbols, 020201 artificial intelligence & image processing, Information Systems
Abstract

This paper considers the drive-response synchronization in finite-time and fixed-time of inertial neural networks with time-varying and distributed delays (mixed delays). First, by constructing a proper variable substitution, the original inertial neural networks can be rewritten as a first-order differential system. Second, by constructing Lyapunov functions and using differential inequalities, some new and effective criteria are obtained for ensuring the finite-time synchronization. Finally, three numerical examples are also given at the end of this paper to show the effectiveness of the results.

Published
2020

13. Finite Time Synchronization For Delayed Fuzzy Inertial Cellular Neural Networks

Author

Chaouki Aouiti, Fakhreddine Karray, and Assali El Abed

Subjects
0209 industrial biotechnology, Class (set theory), Inertial frame of reference, Artificial neural network, Computer science, Substitution (logic), 02 engineering and technology, Fuzzy logic, Variable (computer science), 020901 industrial engineering & automation, Control theory, Cellular neural network, Synchronization (computer science), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing
Abstract

This paper focuses on the finite-time synchronization for a class of fuzzy inertial cellular neural networks (FICNNs) with time-varying delays. First, by constructing a proper variable substitution, the original FICNNs with time-varying delays can be rewritten as first-order differential system. Second, based on Lyapunov functionals, we derive some new and sufficient conditions of finite-time synchronization for the addressed system. We illustrate the effectiveness of the approach through a few examples.

Published
2018

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