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An intelligent interface for the design of optimal control systems
Author(s) -
R. Acerbi,
P. O. Simoni,
Evaldo Patrik dos Santos Cardoso
Publication year - 1989
Publication title -
biblioteca digital da memória científica do inpe (national institute for space research)
Language(s) - English
Resource type - Conference proceedings
ISBN - 0-89791-320-5
DOI - 10.1145/66617.66656
Subject(s) - heuristics , weighting , interface (matter) , computer science , relation (database) , quadratic equation , optimal control , optimal design , control (management) , mathematical optimization , control system , interface design , matrix (chemical analysis) , control engineering , mathematics , engineering , human–computer interaction , data mining , artificial intelligence , parallel computing , machine learning , medicine , geometry , bubble , maximum bubble pressure method , electrical engineering , radiology , operating system , materials science , composite material
An interface for giving suggestions about how to modify weighting matrixes which appear in the formulation of optimal control problems with quadratic performance index is described. The suggestions come both from heuristics for choosing the matrix elements, some of them being obtained through simulations for several systems, and also from criteria for improving the system in relation to the specification of some parameters.

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