An exact penalty function type method, which avoids the necessity of solving a sequence of unconstrained problems, solves general constrained parameter minimization problems, and it may be applied to control system computer-aided design problems.
An algorithm for minimax parameter optimization
โ Scribed by J.E. Heller; J.B. Cruz Jr.
- Publisher
- Elsevier Science
- Year
- 1972
- Tongue
- English
- Weight
- 905 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0005-1098
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โฆ Synopsis
Sunnnary--The minimization, with respect to a set of parameters, of the maximum, with respect to another set of parameters, of a scalar performance index is considered. An algorithm for generating a sequence with a limit point which satisfies a necessary condition for a minimax solution is presented. The algorithm is simple to implement, using only linear programming, quadratic programming, and onedimensional direct search. A geometric interpretation of the algurithm aids in the choice of iteration constants used for stopping criteria.
A minimax orbital transfer of an earth orbiting satellite is used to illustrate the algorithm. An active satellite is transferred from a circular orbit to an elliptical one so as to pass as closely as possible to a passive satellite in circular orbit. The initial position of the passive satellite is only known to lie in a given sector.
๐ SIMILAR VOLUMES
Many steady-state models of polymer electrolyte membrane fuel cells (PEMFC) have been developed and published in recent years. However, models which are easy to be solved and feasible for engineering applications are few. Moreover, rarely the methods for parameter optimization of PEMFC stack models