Modelling and simulation
P. Peregrinus on behalf of the Institution of Electrical Engineers, 1983 - Crafts & Hobbies - 98 pages
Establishes a methodology for model building: establishment of principles; setting up equations; allocation of numerical values to coefficients; computer mechanisation of the equations; & evaluation of performance.
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Ordinary differential equations and their solution in the digital computer
The modelling of singleinputsingleoutput systems
Techniques for the modelling of more complex processes
4 other sections not shown
algorithm application approximate Assume axes base point cable diameter Chapter chosen component considered constant control system convergence cross-correlation cross-correlation function defined Denote described determined diagram dimensional distributed parameter domain eigenvalues eigenvectors equations representing error criterion finite delay function evaluations Functional Analysis generalised given gradient method Hilbert space ingots initial conditions integral equation invariant iteration KALMAN Laplace transformation linear system linearisation mathematical model measurement minimisation model reduction models to assist non-linear objective function obtained on-line model operator ordinary differential equations orthonormal parameter estimation parameter space partial differential equations perturbation physical plant pole zero principal component analysis problem procedure recursive reduced Reference regression relation representation rolls Runge-Kutta method satisfies scalar search directions search method sequence simplex simulation single-input-single-output systems solution of eqn statistical steepest descent system order Taylor series techniques temperature transformation transition matrix unknown parameters variables variance vector of parameters xs(t