Abstract
AbstractThe paper presents a computer‐aided procedure for multipurpose controller design which in multivariable (linearized) stochastic systems simultaneously ensures (1) complete dynamic decoupling of control loops, (2) arbitrary closed‐loop pole placement and internal stability of the control system, (3) steady state output rejection of non‐zero mean values of disturbances as well as zero steady state regulation and/or tracking errors, (4) reduction of amplitude modulation of the control signals and (5) optimal steady state estimation of the plant's state and output vectors. The polynomial matrix approach in the frequency s‐domain is used to solve the stochastic control problem. Numerical results and simulations for a simplified version of a ship‐positioning control system design are presented to illustrate characteristics of the problem.
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