Adaptive identification by systolic arrays. Master's thesis

Technical Report · Tue Dec 01 00:00:00 EST 1987

OSTI ID:7123045

Willis, P A

This thesis is concerned with the implementation of an adaptive-identification algorithm using parallel processing and systolic arrays. In particular, discrete samples of input and output data of a system with uncertain characteristics are used to determine the parameters of its model. The identification algorithm is based on recursive least squares, QR decomposition, and block-processing techniques with covariance resetting. Along similar lines as previous approaches, the identification process is based on the use of Givens rotations. This approach uses the Cordic algorithm for improved numerical efficiency in performing the rotations. Additionally, floating-point and fixed-point arithmetic implementations are compared.

• Research Organization: Naval Postgraduate School, Monterey, CA (USA)
• OSTI ID: 7123045
• Report Number(s): AD-A-193532/9/XAB
• Resource Relation: Other Information: Thesis
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
COMPUTER NETWORKS
COMPUTER ARCHITECTURE
PARALLEL PROCESSING
ALGORITHMS
DECOMPOSITION
EFFICIENCY
EQUATIONS
INTEGRATED CIRCUITS
NUMERICAL ANALYSIS
SAMPLING
CHEMICAL REACTIONS
ELECTRONIC CIRCUITS
MATHEMATICAL LOGIC
MATHEMATICS
MICROELECTRONIC CIRCUITS
PROGRAMMING
990210* - Supercomputers- (1987-1989)