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Numerical intelligence for mobility and communication: Tendencies in automatics and control

Abstract : Since the 1980s, intelligent systems have been at the core of numerous developments and very active new areas of research. New algorithms and theoretical approaches have emerged to solve a set of new problems and issues, including multi sensor fusion, environment perception, cooperative devices with wireless sensor in both high-speed networks and networks with great data load, distributed computer systems, and dynamical networks. It is often unknown or neglected that the real-time command and control of complex systems are often limited to only some specific and given conditions. However, in real-world and real-time applications, these complex systems encounter very different working conditions that influence their operating characteristics and their behaviors. These configurations may unfortunately lead to errors, critical states, or failures. Moreover, these systems, often non-linear, have high-frequency operating characteristics with continuously changing specifications. In the presence of dysfunctions and failures, the stage of performance evaluation and quality characterization of an intelligent system becomes much more difficult. Thus, the management of the complex systems in these critical situations is becoming a major concern in order either to detect the failure states or to take into account specific strategies to limit their impacts.
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Submitted on : Monday, July 5, 2021 - 5:01:35 PM
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Vincent Vigneron, Dominique Gruyer, Saïd Mammar. Numerical intelligence for mobility and communication: Tendencies in automatics and control. Journal of Intelligent Systems, Walter de Gruyter, 2014, 23 (2), pp.109-111. ⟨10.1515/jisys-2014-0066⟩. ⟨hal-00985776⟩



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