Design and implementation of a multiple-processor-based real-time identification system

Ying-Yu Tzou; L. H. Jiang

doi:10.1109/IECON.1989.69729

Design and implementation of a multiple-processor-based real-time identification system

Ying-Yu Tzou^*, L. H. Jiang

^*Corresponding author for this work

Department of Electrical and Computer Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

The authors present the design and implementation of a real-time identification system. A parallelization scheme of the recursive least-squares estimation algorithm has been proposed. The speedup of the proposed parallel recursive algorithm has been analyzed. The parallel recursive estimation algorithm has been implemented on a multiple processor system with hierarchical architecture. Experimental results have shown that the parameters of the identified system can be estimated with acceptable accuracy and within acceptable time delay. The recursive least-squares estimation algorithm has fast convergence for the identification linear system. Using the designed identification system, it is possible to accomplish the update of the identified parameters of a linear second-order system in 2.5 ms. Experimental results have shown the feasibility of implementing a real-time identification system with low-cost microprocessors using parallel processing techniques.

Original language	English
Pages	785-791
Number of pages	7
DOIs	https://doi.org/10.1109/IECON.1989.69729
State	Published - 6 Nov 1989
Event	15th Annual Conference of IEEE Industrial Electronics Society - IECON '89. Part 1 - Philadelphia, PA, USA Duration: 6 Nov 1989 → 10 Nov 1989

Conference

Conference	15th Annual Conference of IEEE Industrial Electronics Society - IECON '89. Part 1
City	Philadelphia, PA, USA
Period	6/11/89 → 10/11/89

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10.1109/IECON.1989.69729

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title = "Design and implementation of a multiple-processor-based real-time identification system",

abstract = "The authors present the design and implementation of a real-time identification system. A parallelization scheme of the recursive least-squares estimation algorithm has been proposed. The speedup of the proposed parallel recursive algorithm has been analyzed. The parallel recursive estimation algorithm has been implemented on a multiple processor system with hierarchical architecture. Experimental results have shown that the parameters of the identified system can be estimated with acceptable accuracy and within acceptable time delay. The recursive least-squares estimation algorithm has fast convergence for the identification linear system. Using the designed identification system, it is possible to accomplish the update of the identified parameters of a linear second-order system in 2.5 ms. Experimental results have shown the feasibility of implementing a real-time identification system with low-cost microprocessors using parallel processing techniques.",

author = "Ying-Yu Tzou and Jiang, {L. H.}",

year = "1989",

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day = "6",

doi = "10.1109/IECON.1989.69729",

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AU - Tzou, Ying-Yu

AU - Jiang, L. H.

PY - 1989/11/6

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N2 - The authors present the design and implementation of a real-time identification system. A parallelization scheme of the recursive least-squares estimation algorithm has been proposed. The speedup of the proposed parallel recursive algorithm has been analyzed. The parallel recursive estimation algorithm has been implemented on a multiple processor system with hierarchical architecture. Experimental results have shown that the parameters of the identified system can be estimated with acceptable accuracy and within acceptable time delay. The recursive least-squares estimation algorithm has fast convergence for the identification linear system. Using the designed identification system, it is possible to accomplish the update of the identified parameters of a linear second-order system in 2.5 ms. Experimental results have shown the feasibility of implementing a real-time identification system with low-cost microprocessors using parallel processing techniques.

AB - The authors present the design and implementation of a real-time identification system. A parallelization scheme of the recursive least-squares estimation algorithm has been proposed. The speedup of the proposed parallel recursive algorithm has been analyzed. The parallel recursive estimation algorithm has been implemented on a multiple processor system with hierarchical architecture. Experimental results have shown that the parameters of the identified system can be estimated with acceptable accuracy and within acceptable time delay. The recursive least-squares estimation algorithm has fast convergence for the identification linear system. Using the designed identification system, it is possible to accomplish the update of the identified parameters of a linear second-order system in 2.5 ms. Experimental results have shown the feasibility of implementing a real-time identification system with low-cost microprocessors using parallel processing techniques.

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DO - 10.1109/IECON.1989.69729

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T2 - 15th Annual Conference of IEEE Industrial Electronics Society - IECON '89. Part 1

Y2 - 6 November 1989 through 10 November 1989

ER -

Design and implementation of a multiple-processor-based real-time identification system

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