
doi: 10.1115/1.2899208
Quantitative Feedback Theory (QFT), a robust control design method introduced by Horowitz, has been shown to be useful in many cases of multi-input, multi-output (MIMO) parametrically uncertain systems. Prominent is the capability for direct design to closed-loop frequency response specifications. In this paper, the theory and development of optimization-based algorithms for design of minimum-gain controllers is presented, including an illustrative example. Since MIMO QFT design is reduced to a series of equivalent single-input, single-output (SISO) designs, the emphasis is on the SISO case.
Design techniques (robust design, computer-aided design, etc.), quantitative feedback theory, single-input, single-output designs, minimum- gaincontrollers, \(H^\infty\)-control, Feedback control, Frequency-response methods in control theory, optimization-based algorithms
Design techniques (robust design, computer-aided design, etc.), quantitative feedback theory, single-input, single-output designs, minimum- gaincontrollers, \(H^\infty\)-control, Feedback control, Frequency-response methods in control theory, optimization-based algorithms
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