Artículo
State Measurement Error-to-State Stability Results Based on Approximate Discrete-Time Models
Fecha de publicación:
08/2019
Editorial:
Institute of Electrical and Electronics Engineers
Revista:
IEEE Transactions on Automatic Control
ISSN:
0018-9286
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Digital controller design for nonlinear systems may be complicated by the fact that an exact discrete-time plant model is not known. One existing approach employs approximate discrete-time models for stability analysis and control design and ensures different types of closed-loop stability properties based on the approximate model and on specific bounds on the mismatch between the exact and approximate models. Although existing conditions for practical stability exist, some of which consider the presence of process disturbances, input-to-state stability (ISS) with respect to state-measurement errors and based on approximate discrete-time models has not been addressed. In this paper, we thus extend existing results in two main directions: 1) we provide ISS-related results, where the input is the state measurement error; and 2) our results allow for some specific varying-sampling-rate scenarios. We provide conditions to ensure semiglobal practical ISS, even under some specific forms of varying sampling rate. These conditions employ Lyapunov-like functions. We illustrate the application of our results on numerical examples, where we show that a bounded state-measurement error can cause a semiglobal practically stable system to diverge.
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Articulos(CIFASIS)
Articulos de CENTRO INT.FRANCO ARG.D/CS D/L/INF.Y SISTEM.
Articulos de CENTRO INT.FRANCO ARG.D/CS D/L/INF.Y SISTEM.
Citación
Vallarella, Alexis Javier; Haimovich, Hernan; State Measurement Error-to-State Stability Results Based on Approximate Discrete-Time Models; Institute of Electrical and Electronics Engineers; IEEE Transactions on Automatic Control; 64; 8; 8-2019; 3308-3315
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