Artificial Intelligence in Real-Time Control 1994

Chapter headings and selected papers: Plenary Papers. Integrating real-time AI techniques in adaptive intelligent agents (B. Hayes-Roth). A computational intelligence perspective on process monitoring and optimization (Y.H. Pao). Fuzzy Logic and Neural Networks. Dynamic analysis of weighted-output fuzzy control systems (A. Garcia-Cerezo et al.). Integrated acquisition, execution, evaluation, and tuning of elementary skills for intelligent robots (M. Kaiser et al.). Intelligent Controllers and Applications. Real-time neural controller implemented on parallel architecture (Z. Hanzalek). Communication problems of expert systems in manufacturing environment (J. Nacsa, G.L. Kovacs). Artificial Intelligence Architectures. A new paradigm for distributed, integrated monitoring and supervision (T. Cord). Author index.

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.

For researchers and engineers in the field of artificial intelligence and control systems.