Algorithms And Architectures For Real Time Control
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Algorithms and Architectures for Real-Time Control 1991
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.
Algorithms and Architectures for Real-Time Control 1992
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.
Algorithms and Architectures for Real-time Control 1997, AARTC '97
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.