Distributed model predictive control of nonlinear systems subject to asynchronous and delayed measurements

In this work, we design distributed Lyapunov-based model predictive controllers for nonlinear systems that coordinate their actions and take asynchronous measurements and delays explicitly into account. Sufficient conditions under which the proposed distributed control designs guarantee that the sta...

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Bibliographic Details
Published inAutomatica (Oxford) Vol. 46; no. 1; pp. 52 - 61
Main Authors Liu, Jinfeng, Muñoz de la Peña, David, Christofides, Panagiotis D.
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier Ltd 2010
Elsevier
Subjects
Applied sciences
Asynchronous measurements
Computer science; control theory; systems
Control system synthesis
Control theory. Systems
Delayed measurements
Distributed model predictive control
Exact sciences and technology
Nonlinear systems
Distributed model predictive control
Delayed measurements
Asynchronous measurements
Nonlinear systems
Asynchronous
Non linear control
Control synthesis
Coordinate system
Non linear system
Modeling
Hybrid system
Closed feedback
Model predictive control
Chemical reactor
Distributed control
Predictive control
Lyapunov function
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Summary:In this work, we design distributed Lyapunov-based model predictive controllers for nonlinear systems that coordinate their actions and take asynchronous measurements and delays explicitly into account. Sufficient conditions under which the proposed distributed control designs guarantee that the state of the closed-loop system is ultimately bounded in a region that contains the origin are provided. The theoretical results are demonstrated through a chemical process example.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0005-1098
1873-2836
DOI:10.1016/j.automatica.2009.10.033