Artificial Intelligence in Real-Time Control 1998


Book Description

This symposium was the seventh in a very successful series in this field. Since the beginning of the series, there have been a number of very positive developments in the topical area of 'Intelligent Control'. In particular, the area referred to as 'situated control' has stimulated the formation of new perspectives towards real-time intelligent systems. The performances of such artificial species as walking cockroaches, maze-negotiating mice, coke-can collecting robots and the like have encouraged the exploration of yet more adaptive control perspectives. In this symposium, there was a strong wind of change bringing more consideration of the roles of learning, evolution, hybrid systems and so on under many diverse labels and for many different systems and circumstances.







Artificial Intelligence in Real-Time Control


Book Description

Artificial Intelligence in Real-Time Control documents the proceedings of the IFAC Workshop held in Clyne Castle, Swansea, UK, 21-23 September 1988. It includes two keynote addresses that discussed architectural issues for expert systems in real-time control; the problem of representing knowledge and reasoning; and the problems encountered in obtaining such information. Other papers contained in these proceedings are representative of the major research bodies active throughout the world in the application of AI techniques in real-time control, although it was inevitable that a Europe-based conference would highlight the work of the European groups. While AI is clearly still in the process of establishing itself, it is undoubtedly a major new area of engineering endeavor. Practical experience is still relatively limited, and many of the results discussed at this event were obtained through simulation or, in a few cases, from reduced practical experience. The importance, though, lies in the fact that many countries are pouring extensive resources into the attempt to control difficult processes by using AI techniques. The wide cross section of interest was demonstrated by the fact that many diverse industries were represented at the workshop—ranging from power-systems control to telecommunications, and into the steel industry.




Artificial Intelligence in Real-Time Control 1989


Book Description

Papers presented at the workshop are representative of the state-of-the art of artificial intelligence in real-time control. The issues covered included the use of AI methods in the design, implementation, testing, maintenance and operation of real-time control systems. While the focus was on the fundamental aspects of the methodologies and technologies, there were some applications papers which helped to put emerging theories into perspective. The four main subjects were architectural issues; knowledge - acquisition and learning; techniques; and scheduling, monitoring and management.




Artificial Intelligence in Real-Time Control 1994


Book Description

Artificial Intelligence is one of the new technologies that has contributed to the successful development and implementation of powerful and friendly control systems. These systems are more attractive to end-users shortening the gap between control theory applications. The IFAC Symposia on Artificial Intelligence in Real Time Control provides the forum to exchange ideas and results among the leading researchers and practitioners in the field. This publication brings together the papers presented at the latest in the series and provides a key evaluation of present and future developments of Artificial Intelligence in Real Time Control system technologies.







Artificial Intelligence in Real-Time Control 1995


Book Description

The Sixth International IFAC Workshop on Artificial Intelligence in Real-Time Control was held in Slovenia in 1995 and provided a forum for leading researchers and practitioners in this field to exchange ideas and results. This postprint volume from the workshop contains all the papers presented there and features five plenary lectures by distinguished control/artificial intelligence scientists. The approaches covered in the papers include fuzzy control, artifical neural networks, expert systems and machine learning whilst the Technical Programme highlights a vareity of methods from artifical intelligence fields applied for control problems.