Output feedback model predictive control for nonlinear systems represented by Hammerstein–Wiener model
Output feedback model predictive control for nonlinear systems represented by Hammerstein–Wiener model
- Author(s): B. Ding and B. Huang
- DOI: 10.1049/iet-cta:20060420
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- Author(s): B. Ding 1 and B. Huang 2
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View affiliations
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Affiliations:
1: College of Automation, Chongqing University, Chongqing, People's Republic of China
2: Department of Chemical and Materials Engineering, University of Alberta, Edmonton, Canada
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Affiliations:
1: College of Automation, Chongqing University, Chongqing, People's Republic of China
- Source:
Volume 1, Issue 5,
September 2007,
p.
1302 – 1310
DOI: 10.1049/iet-cta:20060420 , Print ISSN 1751-8644, Online ISSN 1751-8652
This paper addresses synthesis approaches to output feedback model predictive control (OFMPC) for systems with Hammerstein–Wiener nonlinearity and bounded disturbance/noise. The Hammerstein nonlinearity is removed (or partially removed) by constructing its inverse (or pseudo-inverse). The remaining nonlinearities in the model are incorporated by polytopic descriptions. At each sampling time, OFMPC finds a feedback gain and an estimator, such that the state of the closed-loop system asymptotically converges to a neighbourhood of the origin. A numerical example is given to illustrate the effectiveness of the controller.
Inspec keywords: linear matrix inequalities; closed loop systems; nonlinear control systems; control system synthesis; optimisation; control nonlinearities; feedback; predictive control
Other keywords:
Subjects: Control system analysis and synthesis methods; Nonlinear control systems; Optimisation techniques; Optimal control; Algebra
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