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Titlebook: Control, Identification, and Input Optimization; Robert Kalaba,Karl Spingarn Book 1982 Plenum Press, New York 1982 control engineering.ope

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Book 1982f optimal inputs with extensive background material on optimization and system identification. The field of optimal inputs has been an area of considerable research recently with important advances by R. Mehra, G. c. Goodwin, M. Aoki, and N. E. Nahi, to name just a few eminent in­ vestigators. The a
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Introductionreasing the accuracy of system identification are discussed in Section 1.3. The integration of differential equations, required to obtain the solutions to all of the above, is discussed in Section 1.4.
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nt state of optimal inputs with extensive background material on optimization and system identification. The field of optimal inputs has been an area of considerable research recently with important advances by R. Mehra, G. c. Goodwin, M. Aoki, and N. E. Nahi, to name just a few eminent in­ vestigat
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Verhandlungen des Hils-Solling-Forst-Vereinsarameters are required. For dynamic systems with measurements nonlinear in the parameters, such as those of interest in this text, iterative methods are required as well as initial estimates of the unknown parameters.
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,Ueber- über die Eichennutzholzpreise,ncrease in the plasma insulin concentration. The insulin accelerates the rate of disappearance of glucose from the plasma compartment and the blood sugar quickly returns to its normal value. A linear two-compartment model is used to model the process. The parameters of the model are estimated using the methods of Chapters 5 and 6.
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Optimal Control simplest problem in the calculus of variations is discussed in Section 2.1. The Euler-Lagrange equations are derived using the classical calculus of variations (References 1–5) approach. The equations are then rederived using dynamic programming (References 6–8).
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