OPTIMAL DESIGN OF MULTI-PARAMETER DYNAMIC SYSTEMS.
NAVAL POSTGRADUATE SCHOOL MONTEREY CALIF
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Two design methods for multi-parameter dynamic systems are proposed. They are intended to eliminate the limitations and disadvantages of the existing design methods. The powerful mathematical tools of optimal control theory are applied to the practical design problems of classical control. The first method is intended for linear systems only the design problem is solved in the s-domain, by finding the best root locations of the systems characteristic equation. In the second method, the design problem is solved by finding the best response of the system in the time domain. The second method is applicable to a wide range of dynamic systems it can be used to synthesize linear, non-linear and sampled-data systems, and systems with time delay. This method is also extended to a numerical stability analysis procedure. Fourteen examples are presented to illustrate the applications of the methods. Author
- Numerical Mathematics
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