Title :
Polynomial design of stochastic tracking systems
Author_Institution :
Czechoslovak Academy of Sciences, Prague, Czechoslovakia
fDate :
4/1/1982 12:00:00 AM
Abstract :
A new technique to design optimal stochastic tracking systems is presented for single-input-output plants described by rational transfer functions. The optimal controller is shown to consist of feedback and feedforward parts and it is designed by solving two couples of linear polynomial equations whose coefficients are obtained by spectral factorization.
Keywords :
Polynomials; Stochastic optimal control, linear systems; Tracking; Control systems; Eigenvalues and eigenfunctions; Marketing and sales; Optimal control; Polynomials; Reduced order systems; Regulators; Riccati equations; Stochastic processes; Stochastic systems;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1982.1102933