A full solution to the constrained stochastic closed-loop MPC problem via state and innovations feedback and its receding horizon implementation

Proceedings of the IEEE Conference on Decision and Control

Volumn 1, Issue , 2003, Pages 929-934

  Van Hessem, Dennis H ^a   Bosgra, Okko H ^b  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Back off; Constraint handling; Estimation; Innovations feedback; MPC; Stochastic disturbances

Indexed keywords

FEEDBACK CONTROL; LINEAR CONTROL SYSTEMS; MATRIX ALGEBRA; OBSERVABILITY; OPTIMIZATION; PREDICTIVE CONTROL SYSTEMS; STOCHASTIC CONTROL SYSTEMS; TIME VARYING CONTROL SYSTEMS;

CONSTRAINT HANDLING; INNOVATIONS FEEDBACK; MODEL PREDICTIVE CONTROL (MPC); STOCHASTIC DISTURBANCES;

CLOSED LOOP CONTROL SYSTEMS;

EID: 1542329114     PISSN: 01912216     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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