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Mención Honorífica de Excelencia
Award given to students that graduated with overall grade of 95/100 or more
Information Engineering in Computer Science
GPA: 4.0 = 94.5/100.0
Mechatronic Engineering. Intelligent Machines Design. Mención Honorífica de Excelencia.
GPA: 4.0 = 95.9/100.0
This paper presents the central finite-dimensional energy-to-peak filter for linear systems that is optimal with respect to a modified Bolza-Meyer quadratic criterion including the first degree state-dependent term and the attenuation control term with the opposite sign. The obtained solution is based on reducing the original energy-to-peak filtering problem to the corresponding mean-module filtering problem, using the technique proposed in . The paper first presents the central energy-to-peak filter for linear systems, based on the optimal mean-module filter from , assuming the standard filtering conditions of stabilizability, detectability, and noise orthonormality. Finally, to relax the standard conditions, the paper presents the generalized version of the designed energy-to-peak filter in the absence of the noise orthonormality. Numerical simulations are conducted to verify performance of the designed energy-to-peak filter for linear systems against the central suboptimal H∞ filter . The simulation results show a definite advantage in the values of the noise-output energy-to-peak norm in favor of the designed filter.
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