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Deadbeat kernel-based frequency estimation of a biased sinusoidal signal.

, , and . ECC, page 479-484. IEEE, (2015)

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Robust Sinusoid Identification With Structured and Unstructured Measurement Uncertainties., , , and . IEEE Trans. Automat. Contr., 59 (6): 1588-1593 (2014)Approximate model predictive control laws for constrained nonlinear discrete-time systems: analysis and offline design., , , , and . Int. J. Control, 86 (5): 804-820 (2013)Sinusoidal signal estimation from a noisy-biased measurement by an enhanced PLL with generalized error filtering., , , and . CDC, page 4071-4076. IEEE, (2014)A nonlinear adaptive observer with excitation-based switching., , and . CDC, page 4391-4398. IEEE, (2013)Kernel-based non-asymptotic state estimation for linear continuous-time systems., , , and . ACC, page 3123-3128. IEEE, (2013)Volterra's kernels-based finite-time parameters estimation of the Chua system., , , and . Applied Mathematics and Computation, (2018)Deadbeat Source Localization From Range-Only Measurements: A Robust Kernel-Based Approach., , , and . IEEE Trans. Contr. Sys. Techn., 27 (3): 923-933 (2019)Approximate off-line receding horizon control of constrained nonlinear discrete-time systems., , , and . ECC, page 2420-2425. IEEE, (2009)Fast-Convergent Fault Detection and Isolation in an Uncertain Scenario., , , and . CDC, page 5544-5549. IEEE, (2018)Kernel-based non-asymptotic parameter estimation of continuous-time systems., , , and . CDC, page 2832-2839. IEEE, (2012)