Non-linear model based predictive control

Linearization, interpolation and end-point constraints are combined to derive a receding horizon predictive control algorithm for continuous-time non-linear systems which are subject to input constraints. The algorithm makes extensive use of the 'tail' of input/output state trajectories, n...

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Bibliographic Details
Published inInternational journal of control Vol. 72; no. 10; pp. 919 - 928
Main Authors Kouvaritakis, B., Cannon, M., Rossiter, J. A.
Format Journal Article
LanguageEnglish
Published London Taylor & Francis Group 1999
Taylor & Francis
Subjects
Applied sciences
Computer science; control theory; systems
Control system synthesis
Control theory. Systems
Exact sciences and technology
Interpolation
Constraint
Control system
System synthesis
Non linear system
Continuous system
Predictive control
Linearization
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Summary:Linearization, interpolation and end-point constraints are combined to derive a receding horizon predictive control algorithm for continuous-time non-linear systems which are subject to input constraints. The algorithm makes extensive use of the 'tail' of input/output state trajectories, namely the extension to current time of trajectories computed at the previous time instant. Through this device, the algorithm has guaranteed feasibility and stability and has some desirable attributes with respect to dynamic performance. The results of the paper are illustrated by a model of a coupled tank system.
ISSN:0020-7179
1366-5820
DOI:10.1080/002071799220650