Distributed model predictive control of nonlinear process systems

AIChE Journal

Volumn 55, Issue 5, 2009, Pages 1171-1184

  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

CENTRALIZED MODELS; CHEMICAL PROCESS; CLOSED-LOOP PERFORMANCE; CONTROL LOOP; CONTROL PROBLEMS; DISTRIBUTED CONTROL; DISTRIBUTED CONTROLLER; DISTRIBUTED MODEL PREDICTIVE CONTROL; INPUT CONSTRAINTS; LYAPUNOV; LYAPUNOV-BASED CONTROLLER; MODEL PREDICTIVE CONTROLLERS; NETWORKED CONTROL SYSTEMS; NETWORKED SENSORS; NON-LINEAR MODEL; NONLINEAR CONTROL PROBLEMS; NONLINEAR PROCESS; OPERATING CONTROLS; PREDICTIVE CONTROL DESIGNS; SAMPLING TIME; STABILITY PROPERTIES; THEORETICAL RESULT; WORK FOCUS;

CHEMICAL ENGINEERING; CONTROL SYSTEM ANALYSIS; CONTROLLERS; DESIGN; DISTRIBUTED PARAMETER CONTROL SYSTEMS; MODEL PREDICTIVE CONTROL; NONLINEAR CONTROL SYSTEMS; NONLINEAR SYSTEMS; PNEUMATIC CONTROL EQUIPMENT; PREDICTIVE CONTROL SYSTEMS; QUALITY CONTROL; REMOTE CONTROL; STABILITY; UNCERTAIN SYSTEMS;

CLOSED LOOP CONTROL SYSTEMS;

EID: 66649108237     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.11801     Document Type: Article

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