A framework for stabilization of nonlinear sampled-data systems based on their approximate discrete-time models
By Dragan Nesic, Andrew R. Teel. IEEE Transactions on Automatic Control, 2004
504 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/b577c60a6ed41c419c5707fcec5caf4ce75373dc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Alexandre Seuret
- Emilia M. Fridman
- Laurentiu Hetel
- Jean-Pierre Richard
- Silviu-Iulian Niculescu
- Hassan Omran
- Christophe Fiter
- Dragan Nesic
Citations in the corpus
- Input-output stability properties of networked control systems (2004, methodology): “Tools for analysis of the exact discrete-time model (53), (54) via its approximate models are developed in [16]–[ 19 ] and can be used in this context.”
- Global stability results for systems under sampled-data control (2006, result): “2) then they would lead to local stability properties, iv) if the results contained in [24,34,35,36] were applied to system (4.”
- Event‐triggered adaptive backstepping control for parametric strict‐feedback nonlinear systems (2018, background): “(15) Then, it is held at the controller until the next update as x̂i(t) = xi(tk), tk ≤ t < tk+1,∀k ∈ Z+, i = 1, .”
- Cooperative Constrained Control of Distributed Agents With Nonlinear Dynamics and Delayed Information Exchange: A Stabilizing Receding-Horizon Approach (2008, unknown): “However, as shown in [38], in some cases the control law that stabilizes the approximated discrete-time model may perform quite poorly when applied to the exact model.”
- Recent developments on the stability of systems with aperiodic sampling: An overview (2017, methodology): “We present as follows an adaptation of the result from [258] which extends earlier stability criteria from [191,196,190].”