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Paper Details

%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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