A Parallel Optimum Seeking Technique-Dynostat

Dynostat is the name given to a system optimization technique employing both instantaneous and predictive optimum seeking strategies in parallel. Although it has both off-line and on-line capabilities of application this account is concerned mainly with an explanation of the essentials of the technique in the context of off-line optimization studies. A brief description of a successful application study of a practical problem in industry is also included. The technique is explained in a progressive manner by considering an example for which there is a requirement for an optimum schedule of alternative energy sources. As is well known, optimum scheduling using the dynamic programming technique is restricted in practice by limitations in computer storage and computing time to systems with few independent variables. However, in certain classes of multichannel systems some of these variables appear naturally, or by reasonable approximation can be made to appear, in a static section of the system, and it is shown that optimizing their values need consume only little computer time and storage. The remainder of the variables are in the dynamic section and their optimization makes a heavy demand on computational facilities. The Dynostat technique handles both types of variables in a single computer algorithm. An indication of a projected on-line configuration of Dynostat is presented in a statement of developments of the technique currently under study.