Sciweavers

Share
AUTOMATICA
2005

Analysis of input-to-state stability for discrete time nonlinear systems via dynamic programming

9 years 3 months ago
Analysis of input-to-state stability for discrete time nonlinear systems via dynamic programming
This paper presents novel analysis results for input-to-state stability (ISS) that utilise dynamic programming techniques to characterise minimal ISS gains and transient bounds. These characterisations naturally lead to computable necessary and sufficient conditions for ISS. Our results make a connection between ISS and optimisation problems in nonlinear dissipative systems theory (including L2-gain analysis and nonlinear H theory).
Shoudong Huang, Matthew R. James, Dragan Nesic, Pe
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2005
Where AUTOMATICA
Authors Shoudong Huang, Matthew R. James, Dragan Nesic, Peter M. Dower
Comments (0)
books