Distributed model predictive control system design using lyapunov techniques

Lecture Notes in Control and Information Sciences

Volumn 384, Issue , 2009, Pages 181-194

  Liu, Jinfeng ^a   De La Peña, David Muñoz ^b   Christofides, Panagiotis D ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF SEVILLE   (Spain)

Author keywords

Distributed model predictive control; Networked control systems; Nonlinear systems; Process control

Indexed keywords

CHEMICAL PROCESS; CLOSED-LOOP PERFORMANCE; CONTROL LOOP; DISTRIBUTED CONTROL; DISTRIBUTED MODEL PREDICTIVE CONTROL; EQUILIBRIUM POINT; LYAPUNOV; LYAPUNOV TECHNIQUES; LYAPUNOV-BASED CONTROLLER; NETWORKED CONTROL SYSTEMS; NONLINEAR PROCESS; OPERATING CONTROLS; PREDICTIVE CONTROLLER; STABILITY PROPERTIES; THEORETICAL RESULT; WIRELESS TECHNOLOGIES;

CONTROL SYSTEM ANALYSIS; CONTROLLERS; DESIGN; DISTRIBUTED PARAMETER CONTROL SYSTEMS; FAULT TOLERANCE; FAULT TOLERANT COMPUTER SYSTEMS; MODEL PREDICTIVE CONTROL; NONLINEAR SYSTEMS; PREDICTIVE CONTROL SYSTEMS; QUALITY ASSURANCE; QUALITY CONTROL; REMOTE CONTROL; STABILITY; WIRELESS NETWORKS;

CLOSED LOOP CONTROL SYSTEMS;

EID: 66749169999     PISSN: 01708643     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-01094-1_14     Document Type: Conference Paper

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