This tutorial provides a variety of simulation algorithms for the design and control of dynamic systems. It explains the accuracy and stability of automatic control theory, emphasizing those systems described by stiff non-linear differential equations. The text features stability region plots; considers problems of real-time simulation; and present algorithms written in C with an emphasis on the simualtion aspects of numerical integration.
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In designing control systems, engineers rely on simulations to help them derive the final outcome -- and although some simulation software packages exist, for the most part engineers working on complex high-order nonlinear systems, systems with peculiar characteristics, and real-time systems, must derive their own simulations. Applied in perspective and tutorial in approach, this innovative volume provides a variety of simulation algorithms for the design and evaluation of dynamic control systems. Explains the accuracy and stability properties of digital simulation from the perspective of automatic control theory -- in terms familiar to engineers in many disciplines; emphasizes systems described by stiff nonlinear differential equations; features a large number of stability region plots; considers problems of real-time simulation; and presents algorithms written in C -- with an emphasis on the simulation aspects of numerical integration.
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