Suboptimal decentralized control of multivariable systems

Abstract EN

A state-space design for multivariable, suboptimal decentralized control is presented.

It is based upon the scalar multiplier with a cost function βJ*.

A large-scale system consisting of a number of subsystems is used.

The suboptimal control law for the large system is obtained from the suboptimal laws of the subsystems.

Since the control laws of the subsystems are obtained by solving the low-order matrix Ricatti equations, a considerable saving in computer storage and time is attained.

Sufficient conditions for the optimal cost function are also given.

The behaviour of the algorithm is illustrated by a simulated example.