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Mathematical Representations of Continuous Physical Systems
Fundamentals of SampledData and Discrete System Theory
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accuracy analog analog computer analysis applications approximating function block diagram calculate chapter coefficients continuous system continuous-system corrector data reconstructor defined developed difference equation differential equation differential-equation digital computer digital simulation model discrete system discrete transfer function error model evaluate Example excitation expression first-order first-order hold illustrated in Fig initial conditions input integration formulas inverse Laplace transform linear stationary linear system Madwed mathematical model matrix MIMIC nonlinear system nonstationary system numerical methods obtain OOOOO operational methods output parameters performing phase-locked loop physical system poles predictor-corrector presented procedure real-time representation represented round-off round-off error Runge-Kutta methods sampled-data model sampler sequence shown in Fig simulated response simulation design simulation error simulation increment simulation languages solution specific spectral density stability statement step system model system response Table techniques time-varying system tion trapezoidal rule truncation error Tustin unit circle values variables vector z-transform zero zero-order hold