Distributed computer control is at the intersection between control engineering and computer science. Containing 22 papers, this book provides an up-to-date reference source of important issues in the design and implementation of distributed real-time computer systems.

One of the most important issues in the development of distributed computer control systems is the ability to build software and hardware which is both reliable and time deterministic; this is an area where control engineering and computer science naturally meet.This publication brings together the latest key papers on research and development in this field, allowing cross-fertilization between the two engineering disciplines involved and allowing both academics and industrial practitioners to find new insights and learn from each other's views.

The series of IFAC Workshops on distributed computer control systems (DCCS) provide the opportunity for leading researchers and practitioners in the field to discuss and evaluate recent advances and current issues in theory, applications and technology of DCCS. DCCS'95, the 13th IFAC workshop in the series was held in Toulouse-Blagnac, France. The topics covered at this meeting included: the role of real-time in DCCS specifications; scheduling methods for DCCS; real-time distributed operating systems and databases and industrial applications and experience with DCSS.

The focus of the workshop was on recent advances in the theory, applications and techniques for distributed computer control systems. Topics included: tools and methods for inner layers of DCCS; application papers presenting operational DCCS; the infiltration of true real-time or "time critical" concepts and the emergence of artificial intelligence methods in DCCS applications, leading to novel computer architectures being integrated in computer networks. The book will be of interest not only to those involved in DCCS but also software engineers and distributed computing scientists.

This volume contains 40 papers which describe the recent developments in advanced control of chemical processes and related industries. The topics of adaptive control, model-based control and neural networks are covered by 3 survey papers. New adaptive, statistical, model-based control and artificial intelligence techniques and their applications are detailed in several papers. The problem of implementation of control algorithms on a digital computer is also considered.

The symposium had two main aims, to investigate the state-of-the-art in the application of artificial intelligence techniques in real-time control, and to bring together control system specialists, artificial intelligence specialists and end-users. Many professional engineers working in industry feel that the gap between theory and practice in applying control and systems theory is widening, despite efforts to develop control algorithms. Papers presented at the meeting ranged from the theoretical aspects to the practical applications of artificial intelligence in real-time control. Themes were: the methodology of artificial intelligence techniques in control engineering; the application of artificial intelligence techniques in different areas of control; and hardware and software requirements. This symposium showed that there exist alternative possibilities for control based on artificial intelligence techniques.

The Engineering of Complex Real-Time Computer Control Systems brings together in one place important contributions and up-to-date research results in this important area. The Engineering of Complex Real-Time Computer Control Systems serves as an excellent reference, providing insight into some of the most important research issues in the field.

Space vehicles have become increasingly complex in recent years, and the number of missions has multiplied as a result of extending frontiers in the exploration of our planetary system and the universe beyond. The advancement of automatic control in aerospace reflects these developments. Key areas covered in these proceedings include: the size and complexity of spacecrafts and the increasingly stringent performance requirements to be fulfilled in a harsh and unpredictable environment; the merger of space vehicles and airplanes into space planes to launch and retrieve payloads by reusable winged vehicles; and the demand to increase space automation and autonomy to reduce human involvement as much as possible in manned, man-tended and unmanned missions. This volume covers not only the newly evolving key technologies but also the classical issues of guidance, navigation and control.

In addition to the three main themes: chemical reactors, distillation columns, and batch processes this volume also addresses some of the new trends in dynamics and control methodology such as model based predictive control, new methods for identification of dynamic models, nonlinear control theory and the application of neural networks to identification and control. Provides a useful reference source of the major advances in the field.