This Workshop focuses on such issues as control algorithms which are suitable for real-time use, computer architectures which are suitable for real-time control algorithms, and applications for real-time control issues in the areas of parallel algorithms, multiprocessor systems, neural networks, fault-tolerance systems, real-time robot control identification, real-time filtering algorithms, control algorithms, fuzzy control, adaptive and self-tuning control, and real-time control applications.
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.
Paperback. The 3rd IFAC/IFIP Workshop on Algorithms and Architectures for Real-Time Control is concerned with new architectural software and hardware aspects for real-time control. This, the latest in the series, investigates the state of the art and present new research and application results in software and hardware for real-time control. The workshop brings together leading engineers and computer scientists who are researchers, developers and practitioners, both from the academic and industrial world, to discuss recent developments.
These proceedings contain the selection of papers presented at the IFAC Workshop on Algorithms and Architectures for Real-Time Control (AARTC '97) held at the Vilamoura Marina Hotel, Vilamoura, Portugal. Rapid developments in microelectronics and computer science continue to provide opportunities for real-time control engineers to address new challenges. New opportunities arise from such diverse directions as ever-increasing system complexity and sophistication, environmental legislation, economic competition, safety and reliability. These are typical themes which were highlighted at the IFAC AARTC '97 Workshop. The AARTC '97 Final Programme consisted of 22 sessions covering major areas of software, hardware and applications for real-time control. Important topics were "soft" computing methods, software tools and architectures, embedded systems, parallel and distributed systems, architectures, custom processors, algorithms, estimation methods, neural networks, fuzzy methods, PID controllers, transport applications, industrial process control, robotics, and discrete-event and hybrid systems.
The 5th IFAC Workshop on Algorithms and Architectures for Real-Time Control (AARTC '98) was organized under the auspices of the IFAC Technical Committee. This Committee is concerned with the use of emerging software and hardware developments in real-time control. The AARTC '98 Technical Programme consisted of seventeen sessions, covering major areas of software, hardware and applications for real-time control, namely robotics, modeling and control, software design tools and methodologies, industrial process control and manufacturing systems, parallel and distributed systems, non-linear control systems, neural networks, parallel and distributed algorithms for real-time signal processing and control, transport applications, algorithms, fault tolerant systems and fuzzy control. The contributions were selected from a large number of high-quality full draft papers and late breaking paper contributions presenting very recent research work.
The 6th IFAC Workshop on Algorithms and Architectures for Real-Time Control (AARTC'2000) was held at Palma de Mallorca, Spain. The objective, as in previous editions, was to show the state-of-the-art and to present new developments and research results in software and hardware for real-time control, as well as to bring together researchers, developers and practitioners, both from the academic and the industrial world. The AARTC'2000 Technical Program consisted of 11 presented sessions, covering the major areas of software, hardware and applications for real-time control. In particular, sessions adressed robotics, embedded systems, modeling and control, fuzzy logic methods, industrial process control and manufacturing systems, neural networks, parallel and distributed processing, processor architectures for control, software design tools and methodologies, and SCADA and multi-layer control. A total of 38 papers were selected from high-quality full draft papers and late breaking paper contributions (consisting of extended abstracts). Participants from 15 countries attended the AARTC'2000 workshop. The technical program also included two plenary talks given by leading experts in the field. Roger Goodall (Department of Electronic and Electrical Engineering, Loughborough University, UK) presented "Perspectives on processing for real-time control", and Ricardo Sanz (Universidad Politécnica de Madrid, Spain), focused on "CORBA for Control Systems". Another highlight in the program was the final session on industrial presentations which was held in common with the Workshop on Real-Time Programming (WRTP'2000). In this session, Abel Jiménez (Industria de Turbo Propulsores S. A., Spain) presented the "Thrust Vectoring System Control Concept", Ulrich Schmid (Technische Universität Wien, Austria) made a presentation with the title "Applied Research: A Scientist's Perspective", and Harold W. Lawson (Lawson Konsult AB, Sweden) addressed "Systems Engineering of a Successful Train Control System".
This updated edition offers an indispensable exposition on real-time computing, with particular emphasis on predictable scheduling algorithms. It introduces the fundamental concepts of real-time computing, demonstrates the most significant results in the field, and provides the essential methodologies for designing predictable computing systems used to support time-critical control applications. Along with an in-depth guide to the available approaches for the implementation and analysis of real-time applications, this revised edition contains a close examination of recent developments in real-time systems, including limited preemptive scheduling, resource reservation techniques, overload handling algorithms, and adaptive scheduling techniques. This volume serves as a fundamental advanced-level textbook. Each chapter provides basic concepts, which are followed by algorithms, illustrated with concrete examples, figures and tables. Exercises and solutions are provided to enhance self-study, making this an excellent reference for those interested in real-time computing for designing and/or developing predictable control applications.
Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.
Hybrid Simulation: Theory, Implementation and Applications deals with a rapidly evolving technology combining computer simulation (typically finite element) and physical laboratory testing of two complementary substructures. It is a multidisciplinary technology which relies heavily on control theory, computer science, numerical techniques and finds applications in aerospace, civil, and mechanical engineering.
This book presents an extensive survey of the state-of-the-art research in parallel computational algorithms and architectures for robot manipulator control and simulation. It deals not only with specifics but also includes general and broader issues which serve as a useful foundation to the topic. The educational flavor of the book makes it a necessary resource for researchers, engineers and students wanting to be familiarized with the potential offered by the application of parallel processing to robotic problems, and its current issues and trends.
