1999
DOI: 10.1007/978-1-4757-6331-7
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Quantitative Feedback Design of Linear and Nonlinear Control Systems

Abstract: Yaniv, Oded, Quantitative feedback design Df linear and nonlinear control systems 1 Oded Yaniv ; foreword by Isaac Horowitz. p cm. --(Kluwer international sedes in engineering and computer science ; SECS 509) Includes bibliDgraphical references. ISBN 978-1-4419-5089-5 ISBN 978-1-4757-6331-7 (eBook)

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Cited by 182 publications
(157 citation statements)
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“…Our method is based on the quantitative feedback control [24]. The two disadvantages from using the classical Smith predictor, namely the uncertainty in the plant model causing unexpected performance degradation and the non-zero steady-state tracking error under the presence of the disturbance, will be considered.…”
Section:  mentioning
confidence: 99%
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“…Our method is based on the quantitative feedback control [24]. The two disadvantages from using the classical Smith predictor, namely the uncertainty in the plant model causing unexpected performance degradation and the non-zero steady-state tracking error under the presence of the disturbance, will be considered.…”
Section:  mentioning
confidence: 99%
“…where the upper and lower bounds are given in Table 1. 3) Plant-input disturbance rejection Note that the stability margin specification (11) is equivalent to a gain margin of 4.65 dB and a phase margin of 41.46 degrees (see [24]). The tracking specification (12) was imposed to the maximum frequency of 1 rad/s, which is the designed closed-loop bandwidth of the system.…”
Section: Clss With Smith Predictor and Quantitative Feedbackmentioning
confidence: 99%
See 1 more Smart Citation
“…QFT is a methodology to design robust controllers based on frequency domain (Horowitz, 1993;Yaniv, 1999). This technique allows designing robust controllers which fulfil some quantitative specifications.…”
Section: Synthesis Of Siso Lti Uncertain Feedback Control Systems Usimentioning
confidence: 99%
“…The Quantitative Feedback Theory (QFT), first introduced by Prof. Isaac Horowitz in 1959, is an engineering control design methodology, which explicitly emphasizes the use of feedback to simultaneously reduce the effects of plant uncertainty and satisfy performance specifications (Horowitz, 1993;Yaniv, 1999;Sidi, 2002;Houpis, Rasmussen & Garcia-Sanz, 2006). Horowitz's work is deeply rooted in classical frequency response analysis involving Bode diagrams, template manipulations and Nichols Charts.…”
Section: Overviewmentioning
confidence: 99%