2008
DOI: 10.1002/rnc.1364
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Global stability results for systems under sampled‐data control

Abstract: In this work sufficient conditions expressed by means of single and vector Lyapunov functions of Uniform Input-to-Output Stability (UIOS) and Uniform Input-to-State Stability (UISS) are given for finite-dimensional systems under feedback control with zero order hold.

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Cited by 99 publications
(21 citation statements)
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References 51 publications
(58 reference statements)
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“…Using Eq. 9 and since a ≤ τ 1 ≤ ∆ * , a bound on the difference between x(t) and x(0) is obtained: (14) for all t ∈ [0, a]. Applying the Gronwall-Bellman lemma to Eq.…”
Section: A Stabilizing Emulation Controllermentioning
confidence: 97%
See 1 more Smart Citation
“…Using Eq. 9 and since a ≤ τ 1 ≤ ∆ * , a bound on the difference between x(t) and x(0) is obtained: (14) for all t ∈ [0, a]. Applying the Gronwall-Bellman lemma to Eq.…”
Section: A Stabilizing Emulation Controllermentioning
confidence: 97%
“…For guaranteed performance improvement with the proposed LEMPC scheme, both layers are formulated with explicit performance-based constraints computed from an auxiliary Lyapunov-based model predictive control (LMPC) problem solution formulated with a quadratic cost. Typically, when a sample-and-hold controller, such as LMPC, is applied to a continuous-time system, the resulting closed-loop system achieves practical stability (e.g., [14], [18]). However, when considering the asymptotic average closed-loop performance under LMPC (i.e., infinite-time performance), asymptotic stabilization of the closed-loop system under LMPC is needed.…”
Section: Introductionmentioning
confidence: 99%
“…One approach is to design a discrete-time controller based on the discrete-time approximation of the nonlinear system (Nesic, Teel, & Kokotovic, 1999;Ustunturka & Kocaoglana, 2013) which can only guarantee local or semi-global stabilization owing to the existence of approximation errors. The other approach is to design a sampled-data controller based on the emulation method by discretizing continuous-time controllers (Dabroom & Khalil, 2001;Karafyllis & Kravaris, 2009; A c c e p t e d M a n u s c r i p t ugust 7, 2015 International Journal of Control ijcR1 Teel, & Carnevale, 2009;Owen, Zheng, & Billings, 1990;Qian & Du, 2012). The issue in the emulation method is the choice of the sampling period T .…”
Section: Introductionmentioning
confidence: 99%
“…A sampled-data controller is constructed based on the output feedback domination approach to globally stabilize the nonlinear systems in (Qian & Du, 2012). Sufficient conditions for global stability under sampled-data control with zero order hold are expressed by means of single and vector Lyapunov functions in (Karafyllis & Kravaris, 2009). The work (Du et al, 2013) investigates the problem of designing a sampled-data output feedback controller to globally stabilize a class of upper-triangular systems with delay in the input.…”
Section: Introductionmentioning
confidence: 99%
“…Nonlinear systems is different from linear systems which can obtain the exact discretized model to design controller. Recently, some approaches are introduced to solve the problem, for example, discrete-time design [10], the emulation method [11,12,13,14,15,16,17], and continuous-discrete design [16,17,18,19,20]. Global stabilization problem of a class of inherently nonlinear systems with uncertain parameters is studied in [20].…”
Section: Introductionmentioning
confidence: 99%