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

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

ISBN-10: 0080420508

ISBN-13: 9780080420509

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

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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

In the bidimensional array the elements of X are computed by diagonals, starting with the lower right corner. Both the bidimensional array and the linear one exploit the parallelism of the updates of the elements of C. 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.

For instance, in the design of full-order or reduced-order state observers we need the solution of Sylvester-like equations OCwakernaak and Sivan, 1972). Furthermore, we can solve the Continuous-Time Linear-Quadratic Optimal Control Problem by using a Newton-type algorithm (Kleinman, 1968 and Sandell, 1974). In each step of this algorithm we need to solve a continuoustime algebraic Lyapunov equation. SYSTOLIC ALGORITHM FOR THE TRIANGULAR SYLVESTER EQUATION TRIANGULAR FORM OF SYLVESTER EQUATION In the following we will consider the Sylvester equation (1) with triangular coefficient matrices A and B.

The communication is synchronized and happens when both the input process and the output process are ready. The following is a simple example of occam process: ALT increment ? signal counter := counter + 1 decrement ? signal counter := counter - 1 value ? signal SEQ out ! counter counter := 0 These problems can be neglected if the communication speed is fast enough. But the communication speed is not so fast practically, so it is significant to consider these problems. To cope with these problems, we extend the protocol by introducing the format of the extended address code which will be sent first.

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Algorithms and Architectures for Real-Time Control 1992. Preprints of the IFAC Workshop, Seoul, Korea, 31 August–2 September 1992 by P.J. Fleming, W.H. Kwon


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