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This paper considers the problem of switched Wiener system identification from a Kernel based manifold embedding perspective. Our goal is to identify both the Kernel mapping and the dynamics governing the evolution of the data on the manifold from noisy output measurements and with minimal assumptions about the nonlinearity and the affine portion of the systems. While in principle this is a very challenging...
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