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A SVM internal model control approach for unknown nonlinear discrete systems. (Chinese. English summary) Zbl 1212.93145
Summary: This paper presents an approximate internal model control approach for unknown nonlinear discrete SISO systems based on the support vector machine (SVM). The control law consists of a nominal controller and a robust controller. The nominal controller is derived from the SVM-NARMA approximate internal model by optimizing a quadratic performance index. The robust controller reduces the effects of the uncertainties. The stability and robustness of the closed-loop system are proved using the Lyapunov method. The results show that the method can be applied not only to systems with ill-defined relative degrees but also to non-minimum phase systems. Extensive simulations demonstrate the effectiveness of this control approach.
MSC:
93C10 Nonlinear systems in control theory
93B35 Sensitivity (robustness)
93D05 Lyapunov and other classical stabilities (Lagrange, Poisson, \(L^p, l^p\), etc.) in control theory
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