Download Algorithms and Architectures for Real-Time Control 1992. by P.J. Fleming, W.H. Kwon PDF

By P.J. Fleming, W.H. Kwon

ISBN-10: 0080420508

ISBN-13: 9780080420509

This Workshop makes a speciality of such matters as keep watch over algorithms that are appropriate for real-time use, machine architectures that are compatible for real-time keep watch over algorithms, and functions for real-time keep watch over concerns within the parts of parallel algorithms, multiprocessor platforms, neural networks, fault-tolerance platforms, real-time robotic keep an eye on id, real-time filtering algorithms, regulate algorithms, fuzzy keep watch over, adaptive and self-tuning regulate, and real-time keep an eye on purposes

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Additional resources for Algorithms and Architectures for Real-Time Control 1992. Preprints of the IFAC Workshop, Seoul, Korea, 31 August–2 September 1992

Example text

This results in a block matrix system of equations analogous to the scalar system (2): ρ ΣΑ SIZE-DEPENDENT BIDIMENSIONAL ARRAY Figure 1 shows the dataflow in the array for a triangular Sylvester problem with m=4 and n=3. Matrix Β is stored in the lower part of the rhomboidal array before the beginning of the computations, as is shown in the figure. This storage suggests considering the case of m*n. Otherwise the equation is easily reduced to this case by transposition. As you see in Fig. 2, the cells in the lower edge of the rhomboid perform the computation of the elements of matrix solution X and send them to the left and upper neighbor cells.

Proceedings of the IFAC Workshop Algorithms and Architectures for Real-Time Control. J. I. ). Oxford, pp. 43-48. Kagstrom, B. and P. Poromaa. (1989). Distributed Block Algorithms for the Triangular Sylvester Equation with Condition Estimators. In F. P. V. (North-Holland), pp. 233-249. Kagstrom, B. , L. Nystron and P. Poromaa. (1988) Parallel Shared Memory Algorithms for the Triangular Sylvester Equation. Report UMINF 155-88, Inst of Information Processing, Univ. of Umea, S-901 87 Umea. L. (1968).

2) There was few suitable computer languages for concurrent programming. In robotics, especially in controlling intelligent robots, huge computation is unavoidable. It is likely that theoretical results obtained in robotics and its application are difficult to be realized in industries without any prospective solutions of the treatment of computation. A powerful computer developed for a special purpose may provide us a solution and we have used a bit slice computer to control multiple arms robot for three years as an example.

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