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• W2068291495 abstract "This paper develops a new approach to multiple objective optimization design for robust multivariable control systems, based on eigenstructure assignment and genetic algorithms. It considers various performance indices (or cost functions) in the objectives, which are individual eigenvalue sensitivity functions, and the sensitivity and the complementary sensitivity functions in the frequency domain, instead of a single performance index for a control system. Based on these performance indices, the robustness criteria are expressed by a set of inequalities. The paper will make full use of the freedom provided by eigenstructure assignment to find a controller to satisfy the robustness criteria. A numerical algorithm for multi-objective optimization using genetic algorithm approaches is developed and applied to the simulation of a distillation column control system design" @default.
• W2068291495 created "2016-06-24" @default.
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• W2068291495 date "1996-09-01" @default.
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• W2068291495 title "Robust control design using eigenstructure assignment and multi-objective optimization" @default.
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• W2068291495 doi "https://doi.org/10.1080/00207729608929288" @default.
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