A reduction approach on the discrete-time equivalent model of a nonlinear input delayed system is proposed to design a sampled-data stabilizing feedback. Global asymptotic stability of the feedback system is so achieved by solving the problem over the reduction state. Stabilization of the reduced dynamics is obtained through input-Lyapunov matching. Connections with prediction-based methods are established. A simulated example illustrates the performances.
Sampled-data reduction of nonlinear input-delayed dynamics / Mattioni, Mattia; Monaco, Salvatore; Normand Cyrot, Dorothee. - In: IEEE CONTROL SYSTEMS LETTERS. - ISSN 2475-1456. - ELETTRONICO. - 1:1(2017), pp. 116-121. [10.1109/LCSYS.2017.2710118]
Sampled-data reduction of nonlinear input-delayed dynamics
MATTIONI, MATTIA
;MONACO, Salvatore;
2017
Abstract
A reduction approach on the discrete-time equivalent model of a nonlinear input delayed system is proposed to design a sampled-data stabilizing feedback. Global asymptotic stability of the feedback system is so achieved by solving the problem over the reduction state. Stabilization of the reduced dynamics is obtained through input-Lyapunov matching. Connections with prediction-based methods are established. A simulated example illustrates the performances.| File | Dimensione | Formato | |
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