DiscreteLQEstimatorGains[ss, {w, v}, \[Tau]] gives the optimal discrete-time estimator gain matrix with sampling period \[Tau] for the continuous-time StateSpaceModel object ...
Built on powerful and elegant principles, the core Mathematica language has emerged over the past 20 years as perhaps the world's richest and deepest programming language. ...
StateSpaceRealization is an option to StateSpaceModel that specifies its canonical representation.
ToDiscreteTimeModel[sys, \[Tau]] gives the discrete-time approximation with sampling period \[Tau] of the continuous-time StateSpaceModel or TransferFunctionModel object ...
In almost every area where probability and statistics are used there have been found a few parametric distribution families that are known to be good models. The origins vary ...
StringReplace["string", s -> sp] or StringReplace["string", {s_1 -> sp_1, s_2 -> sp_2, ...}] replaces the string expressions s_i by sp_i whenever they appear as substrings of ...
Mathematica provides a core set of functions for performing block-diagram reduction and various model manipulations. Building on Mathematica's unique symbolic architecture, ...
FindRoot[f, {x, x_0}] searches for a numerical root of f, starting from the point x = x_0.FindRoot[lhs == rhs, {x, x_0}] searches for a numerical solution to the equation lhs ...
ToContinuousTimeModel[sys] gives the continuous-time approximation of the discrete-time TransferFunctionModel or StateSpaceModel object sys.ToContinuousTimeModel[tf, s] gives ...
DiscreteRiccatiSolve[{a, b}, {q, r}] gives the matrix x that is the stabilizing solution of the discrete algebraic Riccati equation ConjugateTranspose[a].x.a - x - ...