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Mathematica 8 adds major new areas, including probability and statistics, graphs and networks, computational finance, control systems, wavelet analysis, and group theory. ...
SingularValuePlot   (Built-in Mathematica Symbol)
SingularValuePlot[m] gives the singular value plot of a matrix m of rational functions in one complex variable.SingularValuePlot[sys] gives the singular value plot of a ...
ToContinuousTimeModel   (Built-in Mathematica Symbol)
ToContinuousTimeModel[sys] gives the continuous-time approximation of the discrete-time TransferFunctionModel or StateSpaceModel object sys.ToContinuousTimeModel[tf, s] gives ...
TransferFunctionCancel   (Built-in Mathematica Symbol)
TransferFunctionCancel[tf] cancels common poles and zeros in the TransferFunctionModel object tf.TransferFunctionCancel[tf, crit] cancels only common pole-zero pairs e_i for ...
LyapunovSolve   (Built-in Mathematica Symbol)
LyapunovSolve[a, c] finds a solution x of the matrix Lyapunov equation a.x + x.a\[ConjugateTranspose] == c.LyapunovSolve[a, b, c] solves a.x + x.b == c.LyapunovSolve[{a, d}, ...
ToDiscreteTimeModel   (Built-in Mathematica Symbol)
ToDiscreteTimeModel[sys, \[Tau]] gives the discrete-time approximation with sampling period \[Tau] of the continuous-time StateSpaceModel or TransferFunctionModel object ...
SystemsModelFeedbackConnect   (Built-in Mathematica Symbol)
SystemsModelFeedbackConnect[sys] gives the closed-loop system for the StateSpaceModel or TransferFunctionModel object sys with unity negative feedback. ...
TransferFunctionPoles   (Built-in Mathematica Symbol)
TransferFunctionPoles[tf] gives a matrix of roots of the denominators in the TransferFunctionModel object tf.
NicholsPlot   (Built-in Mathematica Symbol)
NicholsPlot[g] gives the Nichols plot of a rational function g in one complex variable.NicholsPlot[sys] gives the Nichols plot of a TransferFunctionModel or StateSpaceModel ...
DiscreteLyapunovSolve   (Built-in Mathematica Symbol)
DiscreteLyapunovSolve[a, c] finds the numeric solution x of the discrete matrix equation a.x.a\[ConjugateTranspose] - x == c.DiscreteLyapunovSolve[a, b, c] solves a.x.b - x ...
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