Balanced Realization for State Space Identification and Optimal Output
Regulation
W. Fred Ramirez, Jan M. Maciejowski
Abstract
This paper presents a new input-output approach for the optimal
regulatory control of systems based upon balanced state realization.
State space identification is achieved using input-output data and a
balanced realization algorithm. Based upon the realized model, an
optimal controller design is presented to regulate the system outputs
at desired levels. The optimal control algorithm is model predictive
in that predictions are made based upon measured disturbances. It
also compensates for unmeasured disturbances through integral state
feedback. This control concept is tested using a continuous stirred
tank chemical reactor system.