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• W2024333334 abstract "In this paper, two methods are reviewed and compared for designing reduced order controllers for distributed parameter systems. The first involves a reduction method known as LQG balanced truncation followed by MinMax control design and relies on the theory and properties of the distributed parameter system. The second is a neural network based adaptive output feedback synthesis approach, designed for the large scale discretized system and depends upon the relative degree of the regulated outputs. Both methods are applied to a problem concerning control of vibrations in a nonlinear structure with a bounded disturbance." @default.
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• W2024333334 date "2006-05-01" @default.
• W2024333334 modified "2023-09-30" @default.
• W2024333334 title "Reduced order controllers for distributed parameter systems: LQG balanced truncation and an adaptive approach" @default.
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• W2024333334 doi "https://doi.org/10.1016/j.mcm.2005.05.031" @default.
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