Numerical Intelligence for Mobility and Communication: Tendencies in Automatics and Control
Vincent Vigneron, Dominique Gruyer, Saïd Mammar · Journal of Intelligent Systems · 2014
Numerical Intelligence for Mobility and Communication: Tendencies in Automatics and ControlSince 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 multisensor 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 [2, 3].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.The 2013 10th IEEE International Conference on Networking, Sensing and Control, which took place in University of Evry Val-d'Essonne, Evry, France, from April 10 to 12, 2013, gathered the leading world experts in information and signal transmission networks, energy and water distribution networks, goods and people transportation networks, and control of networks to present and discuss the latest developments in this field of research.Articles of the present special issue (SI) have been written by scientists dealing with challenging problems of data modeling and data processing needed in order to efficiently handle complex and intelligent systems.To design and implement control mechanisms for monitoring networks, intelligent methods have been used, for instance in the following applications [1]: -Control of urban wastewater networks, -Control of complex robots, -Situational control for autonomous driving, -Real-time perceptive measurements for embedded assistance systems.