%T Application of Transputer\-based Parallel Computation in Matching Real\-Time Control Models
%A Tushar K. Hazra
%E Patrick Nixon
%B Proceedings of WoTUG\-18: Transputer and occam Developments
%X Mathematical models describing physical processes can be
\[rs]matched\[rs] to discrete samples of processes by
considering measured input\-output data and adjusting
coefficient parameters of the model to provide an optimal
agreement between the system and model responses. This well
known technique has been widely implemented in an off\-line
basis for many years. The process of matching can be based
on standard optimization procedures such as Davidon Fletcher
Powell, Fletcher Reeves or even simply Newton Raphson
methods. Standard simulation routines such as Runge Kutta or
Euler\[rs]s methods can be used to generate the model
responses. However, the procedure for model matching
involves intensive computing. This paper offers a number of
prospective approaches to the solution based on parallel
computing methodologies. Using standardized model matching
experiments and simulated noise\-free data, performance
comparisons for sequential and multiprocessor computations
have been evaluated on a transputer\-based system.
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