synthesis

Solves SISO mean-square optimal control design problems: A(p)x = B(p)u + f(t)
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Updated 29 Dec 1997

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Solves SISO mean-square optimal control design problems of the
following form:

Let the controlled plant is described by differential equation
A(p)x = B(p)u + f(t),
where x - scalar controlled variable, u - scalar control, A(p),B(p) are polynomials of p = d/dt, f(t) - external disturbance with known spectral density Sf=S(s)S(-s)=N(s)N(-s)/(T(s)T(-s)) (N(s),T(s) are Hurwitz polynomials).

Cite As

Evgeny Veremey (2024). synthesis (https://www.mathworks.com/matlabcentral/fileexchange/27-synthesis), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R10
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.0.0.0