2010
DOI: 10.1109/tac.2009.2033754
|View full text |Cite
|
Sign up to set email alerts
|

Bounded-Energy-Input Convergent-State Property of Dissipative Nonlinear Systems: An iISS Approach

Abstract: For a class of dissipative nonlinear systems, it is shown that an iISS gain can be computed directly from the corresponding supply function. The result is used to prove the convergence to zero of the state whenever the input signal has bounded energy, where the energy functional is determined by the supply function.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
16
0

Year Published

2010
2010
2019
2019

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 18 publications
(18 citation statements)
references
References 20 publications
1
16
0
Order By: Relevance
“…This together with the converse Lyapunov function for A-GAS system, we can obtain the A-iISS Lyapunov function similar to the proof of [7,Theorem 3.1].…”
Section: Definition 33mentioning
confidence: 69%
See 3 more Smart Citations
“…This together with the converse Lyapunov function for A-GAS system, we can obtain the A-iISS Lyapunov function similar to the proof of [7,Theorem 3.1].…”
Section: Definition 33mentioning
confidence: 69%
“…It is shown in [2] that it is integral input-to-state stable (iISS) if the system is (a) 0-GAS and (b) dissipative with supply function σ. In [7] it is shown that for a class of dissipative systems, the iISS gain is equal to the supply function σ. Here, we explore the robustness of system (12) by applying the modified concept of iISS, where instead of discussing the iISS with respect to the origin, we are interested in the iISS property with respect to a set A (A-iISS).…”
Section: Corollary 32mentioning
confidence: 99%
See 2 more Smart Citations
“…For instance, a well-known nonlinear small-gain theorem in [9] is based on the use of β and γ. The study of convergence input convergence state property as in [7] is based on the use of ISS Lyapunov function. However, as mentioned in the Introduction, existing results on robustness have focused on the systems' stability and there is not many attention on the robustness analysis on systems' safety.…”
Section: Introductionmentioning
confidence: 99%