From Model-Based Strategies to Intelligent Control Systems

Abstract: This paper presents the evolution of control systems and trends in the field of integrated computer, communication and cognitive sciences for control applications. There have been selected and presented the most efficient control strategies used in complex process control, as well as the limitations of model-based approaches in cases that imply complex, non-linear and uncertain process models. In this context, the paper presents some trends in robust identification and design of adaptive control systems with a high level of robustness. Concepts for autonomous control of complex systems by the integration of intelligent methodologies are analyzed. Some aspects of hybrid intelligent control are considered and new directions of research towards creating a new gener-ation of control systems are presented. The paper also includes a review of the evolution of computer controlled applications and a new paradigm- C4- is analyzed from concept to application. Therefore, the transition from C2 to C4 paradigm is illustrated in the context of integrating computers, communication and cognition in control. Finally, advanced control techniques for manufacturing are presented, including intelligent agents, leading to large Intelligent Manufacturing Systems. Some trends in the control of complex systems are presented, including multi-agent technology and hybrid systems formalism. Key–Words: model-based systems, intelligent control system