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Dynamic output feedback model predictive control for nonlinear systems represented by Hammerstein–Wiener model
- Source :
-
Journal of Process Control . Oct2012, Vol. 22 Issue 9, p1773-1784. 12p. - Publication Year :
- 2012
-
Abstract
- Abstract: This paper presents dynamic output feedback model predictive control (DOFMPC) for nonlinear systems represented by a Hammerstein–Wiener model. Compared with a previous work (IET-OFMPC: output feedback model predictive control for nonlinear systems represented by Hammerstein–Wiener model. IET Control Theory & Applications, 2007, 1 (5) pp. 1302–1310), this paper uses the notion of quadratic boundedness to specify the closed-loop stability and guarantees the recursive feasibility of the optimization problems. By optimizing all the parameters of the dynamic output feedback law within a single optimization problem, the computational burden is very huge. Hence, an alternative formulation is also proposed with much lower on-line computational burden. Numerical examples are given to illustrate the effectiveness of the controllers. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 09591524
- Volume :
- 22
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- Journal of Process Control
- Publication Type :
- Academic Journal
- Accession number :
- 79960294
- Full Text :
- https://doi.org/10.1016/j.jprocont.2012.07.011