Titlebook: State Models of Dynamic Systems; A Case Study Approac N. H. McClamroch Book 1980 Springer-Verlag New York Inc. 1980 Dynamisches System.Syst

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ng an understanding of the response characteristics, from a systems viewpoint, of a broad class of dynamic physical processes. This book was developed for use in the course ECE 355, Dynamic Systems and Modeling, in the Department of Electrical and Computer Engineering at the University of Michigan,

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Modeling Dynamic Systems, and effect relationships are not easily discernable; there are many important variables which may play a role in the dynamic characterization of the process; the interactions between these variables may be critical. In short, many physical processes whose dynamic characterization need to be well un

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First Order Linear State Models, Laplace transforms, as discussed in Appendix B, can be used with benefit. A brief discussion of some basic systems notions for such state models is first given. Then these systems concepts are used to develop and analyze state models for several particular physical processes.

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Second Order Nonlinear State Models,dure which is always applicable in the analysis of such state models. Rather, a few special techniques, applicable to certain cases, can be presented. As in the previous chapter emphasis is given to simple integration techniques as well as to the approximation of the nonlinear state model by a linea

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Discrete Time and State Models, A number of case study examples have been presented which illustrate the general procedures. In this chapter several models are developed which illustrate the fact that, in certain cases, allowances for changes in the state of a system need be made only at discrete instants in time and that the sta

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Discrete Time and State Models,trate the fact that, in certain cases, allowances for changes in the state of a system need be made only at discrete instants in time and that the state itself, as well as the input and output variables, may make discrete changes in their values at these times.

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First Order Nonlinear State Models,rse it is this characteristic of nonlinear state models which causes most difficulty; it is not possible to give general formulas or even procedures which are guaranteed to prove useful. As in the previous chapters some ideas and concepts are first presented; then several physical processes are examined where some of the concepts prove helpful.