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Titlebook: Robust Control Design; A Polynomial Approac Theodore E. Djaferis Book 1995 Springer Science+Business Media New York 1995 computer.control.d

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Theodore E. Djaferisacademic handbook treatment outlining the state-of-the-art fThe primary reason for producing this book is to demonstrate and commu­ nicate the pervasive nature of Discrete Optimisation. It has applications across a very wide range of activities. Many of the applications are only known to specialists
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Theodore E. Djaferisxists, for example due to closely spaced objects, a simple single frame assignment algorithm can produce poor results. For measurement-to-track fusion this has long been recognized and sophisticated multiple hypothesis, multiple frame, data association methods considerably improve tracking performan
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ing and analysis of financial planning and supply chain management problems. SMIP models explicitly consider discrete decisions and model uncertainty and thus provide hedged decisions that perform well under several scenarios. Such SMIP models are relevant for industrial practitioners and academic r
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Fit Synthesis for Robust Performance,tion and noise attenuation of sinusoidal inputs. As we saw earlier in the book, some of these can be posed as magnitude requirements on the weighted sensitivity and weighted complementary sensitivity transfer functions. Of course in the case when uncertainty is present in the system descriptions all these requirements need to be robustly met.
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Fit Synthesis for Robust Multiobjective Performance,y, the implication this has on a robust stability formulation is that it becomes a robust stability requirement of a . feedback system or polynomial family. We have seen several examples of this in Chapters 4 and 8.
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