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Annual Review in Automatic Programming, Volume 11: Real Time Programming 1981 contains the proceedings of the IFAC/IFIP Workshop held in Kyoto, Japan on August 31 - September 2, 1981. Organized into 18 chapters, this book begins with a discussion on advances and trends in distributed control systems. Subsequent chapters explore the application and technology of industrial computers in Japan; on-line system changeover using a virtual machine system; a debugging tool for real time software; and program fall-back method in real time systems. Some other chapters address file design of small real time computer system; development of a distributed operating system kernel for real time applications; and evaluation of pipelined common processor in distributed processing system.
Real Time Programming 1983 contains the proceedings of the 12th IFAC/IFIP Workshop held at Hatfield, UK on March 29-31, 1983. The book organizes the papers of the workshop into four categories: Programming Support Environments; Testing Real-Time Programs; Databases for Real-Time Systems; and Languages and Language Implementations. The papers on Programming Support Environments category cover application-oriented requirements specifications, configuration control, and design description languages of real-time programming. Papers on Databases for Real-Time Systems category talk about wide range of aspects of the problem in the system. Five papers on Testing Real-Time Programs category show importance of structure in producing software; principles in testing and reliability issues; use of separate computer for measuring and tracing real-time software; set of tools and methods for testing real-time software; and set of debugging facilities incorporated into the language Modula. The Languages and Language Implementations category explains the exception handling mechanisms provided by languages; performance of the run-time support to task management in ADA; and implementation of multi-tasking and inter-task message passing for Industrial Real-Time Basic.
Digital computers are now used routinely in on-line control systems. As applications become more complex and costs of developing software rise, the need for good software tools becomes vital. This volume presents 14 papers on the most recent developments within real-time programming - languages for real-time programming, software development tools and the application of real-time systems within industry.
Examines the entire field of real-time programming, with emphasis on the most recent developments in industrial control and the design of process control systems. The topics covered include programming of statistical quality control applications, graphical languages for real-time programming, programming of personal computers and work stations for real-time applications. Contains 17 papers.
Computer scientists have long appreciated that the relationship between algorithms and architecture is crucial. Broadly speaking the more specialized the architecture is to a particular algorithm then the more efficient will be the computation. The penalty is that the architecture will become useless for computing anything other than that algorithm. This message holds for the algorithms used in real-time automatic control as much as any other field. These Proceedings will provide researchers in this field with a useful up-to-date reference source of recent developments.
This set of proceedings contains the most significant papers presented at the third IFAC Workshop on Artificial Intelligence in Real-time Control, which was held from September 23-25, 1991 in the USA. In this workshop, although there were still some "exotic" applications, a more practical view of the applications and limitations of current AI technology dominated the participants' discussions. With its resultant focus on reliability and safety considerations, the workshop posed as many questions as it answered. It provides an excellent mirror of the current state-of-the-art which these proceedings are intended to illustrate.
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.
Modeling and Control of Biotechnical Processes covers the proceedings of the First International Federation of Automatic Control Workshop by the same title, held in Helsinki, Finland on August 17-19, 1982. This book is organized into seven sections encompassing 37 chapters. The opening section deals with the measurement techniques in fermentation processes and the use of automated analyzers to control microbial processes. The next sections consider the concepts of bioreactor modeling and related problems, as well as the modeling and control of biological wastewater treatment processes. Other sections discuss the economic and static optimization, the computer control of production processes, and the application of estimation and identification methods to biotechnological processes. The final sections explore the principles of real-time analysis, use of computer control in specific biotechnical production, process control design, and the modeling of adaptive control. This book is of great value to biotechnologists, biochemists, and control engineers.
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.