Machine Learning Based System Identification with Binary Output Data Using Kernel Methods
Rachid Fateh,
Hicham Oualla,
Es-said Azougaghe
et al.
Abstract:Within the realm of machine learning, kernel methods stand out as a prominent class of algorithms with widespread applications, including but not limited to classification, regression, and identification tasks. Our paper addresses the challenging problem of identifying the finite impulse response (FIR) of single-input single-output nonlinear systems under the influence of perturbations and binary-valued measurements. To overcome this challenge, we exploit two algorithms that leverage the framework of reproduci… Show more
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