Input-to-state stability: A unifying framework for robust model predictive control

Lecture Notes in Control and Information Sciences

Volumn 384, Issue , 2009, Pages 1-26

  Limon, D ^a   Alamo, T ^a   Raimondo, D M ^b   De La Peña, D Muñoz ^a   Bravo, J M ^c   Ferramosca, A ^a   Camacho, E F ^a  

^a UNIVERSITY OF SEVILLE   (Spain)

^b ETH ZURICH   (Switzerland)

^c UNIVERSITY OF HUELVA   (Spain)

Author keywords

Input to state stability; Robust constraint satisfaction; Robust nonlinear model predictive control

Indexed keywords

CONSTRAINT SATISFACTION; CONTROL LAWS; DISTURBANCE SIGNALS; INPUT-TO-STATE; INPUT-TO-STATE STABILITY; MIN-MAX PREDICTIVE CONTROLLER; MINIMIZATION PROBLEMS; PRACTICAL STABILITY; PREDICTIVE CONTROLLER; REACHABLE SET; ROBUST CONSTRAINT SATISFACTION; ROBUST MODEL PREDICTIVE CONTROL; ROBUST NONLINEAR MODEL PREDICTIVE CONTROL; ROBUST STABILITY; ROBUSTNESS OF MODEL; STABILITY PROPERTIES; SUBOPTIMAL SOLUTION; SUFFICIENT CONDITIONS; UNCERTAIN NONLINEAR SYSTEMS;

CONTROLLERS; NONLINEAR SYSTEMS; PREDICTIVE CONTROL SYSTEMS; ROBUST CONTROL; STEELMAKING; SYSTEM STABILITY;

MODEL PREDICTIVE CONTROL;

EID: 66749149354     PISSN: 01708643     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-01094-1_1     Document Type: Conference Paper

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