A variably tuned multiple model predictive controller based on minimal process knowledge

Proceedings of the American Control Conference

Volumn 5, Issue , 2001, Pages 3490-3495

  Aufderheide, B ^a   Bequette, B W ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CHEMICAL REACTORS; COMPUTER SIMULATION; CONTROL SYSTEM SYNTHESIS; NONLINEAR CONTROL SYSTEMS; OPTIMAL CONTROL SYSTEMS; OPTIMIZATION; STEP RESPONSE;

CONTINUOUSLY STIRRED TANK REACTOR; MULTIPLE MODEL PREDICTIVE CONTROLLER; VAN DE VUSSE REACTION SYSTEM;

PREDICTIVE CONTROL SYSTEMS;

EID: 0034857665     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/acc.2001.946173     Document Type: Conference Paper

References (6)

1. On the use of gap metric for model selection in multi-linear model-based control
2. Sensor/actuator failure detection in the vista F-16 by multiple model adaptive estimation
3. Experimental studies on automated regulation of hemodynamic variables
4. A tuning strategy for unconstrained SISO model predictive control
5. Model predictive control of processes with input multiplicities