Paper
14 November 1989 A Transputer Implementation Of System Identification And Control Using SVD's
Wallace E. Larimore, Daniel Martin, Franklin T. Luk
Author Affiliations +
Abstract
Present work is discussed on the implementation of system identification and control methods using singular value decompositions (SVD) on a systolic array of INMOS Transputer chips. The central computation required for both the system identification and control is a canonical variate analysis involving the computation of a generalized singular value decomposition (GSVD). Algorithms are developed for efficient computation of the GSVD on the Transputer systolic array. The GSVD algorithm is developed with particular attention given to the numerical stability, accuracy, and computational efficiency on the systolic array. The implementation of the software in Occam for an array of INMOS transputers is discussed in terms of granularity, required memory, and computation time.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wallace E. Larimore, Daniel Martin, and Franklin T. Luk "A Transputer Implementation Of System Identification And Control Using SVD's", Proc. SPIE 1152, Advanced Algorithms and Architectures for Signal Processing IV, (14 November 1989); https://doi.org/10.1117/12.962270
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Cited by 1 scholarly publication.
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KEYWORDS
Algorithm development

Signal processing

Matrices

Control systems

System identification

Computer architecture

Data processing

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