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• W2079744160 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." @default.
• W2079744160 created "2016-06-24" @default.
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• W2079744160 date "2012-10-01" @default.
• W2079744160 modified "2023-10-16" @default.
• W2079744160 title "Dynamic output feedback model predictive control for nonlinear systems represented by Hammerstein–Wiener model" @default.
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• W2079744160 doi "https://doi.org/10.1016/j.jprocont.2012.07.011" @default.
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