Premium
Balanced realization for state‐space identification and optimal output regulation
Author(s) -
Ramirez W. Fred,
Maciejowski Jan M.
Publication year - 1995
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690410517
Subject(s) - realization (probability) , control theory (sociology) , state space , identification (biology) , state space representation , state (computer science) , optimal control , controller (irrigation) , system identification , model predictive control , control engineering , control (management) , computer science , engineering , mathematics , mathematical optimization , algorithm , data modeling , artificial intelligence , statistics , botany , database , agronomy , biology
Abstract A new input ‐ output approach is presented for optimal regulatory control of systems based on balanced state realization. State‐space identification is achieved using input–output data and a balanced realization algorithm. Based on the realized model, an optimal controller design is presented to regXSulate the system outputs at desired levels. The optimal control algorithm is model‐predictive in that predictions are made based on measured disturbances. It also compensates for unmeasured disturbances through integral state feedback. This control concept is tested using a continuous stirred‐tank chemical reactor model.