Input-Output-to-State Stability
Mikhail Krichman, Eduardo D. Sontag, Yuan Wang
Abstract
This work explores Lyapunov characterizations of the input-output-to-state stability (IOSS) property for nonlinear systems. The notion of IOSS is a natural generalization of the standard zero-detectability property used in the linear case. The main contribution of this work is to establish a complete equivalence between the input-output-to-state stability property and the existence of a certain type of smooth Lyapunov function. As corollaries, one shows the existence of ``norm-estimators'', and obtains characterizations of nonlinear detectability in terms of relative stability and of finite-energy estimates.
Create a lesson
Related papers
UGM: A Unified Framework and New Perspectives for Accelerated Gradient Methods in Smooth and Strongly Convex Optimization
Danqing Zhou, Shiqian Ma, Junfeng Yang
When MILP Beats QP: Piecewise-Linear Reformulations of Sequentially Coupled Bilinear Programs
Quentin Ploussard, Maris Usis, Oluwabunmi Iwakin et al.
Marine Autonomous Vehicle Fleet Scheduling to Maximise Scientific Impact
Mehdi El Krari, Jonathan Smith, Maria Fox
Asymptotic consensus and flocking under decaying persistent excitation on rooted digraphs
Chiara Cicolani, Elisa Continelli, Cristina Pignotti
Co-Optimized Generation, Transmission, and Storage Expansion: System Value and Optimal Duration of Pumped-Storage Hydropower
Rafael Benchimol Klausner, Rafael Kelman
Randomized Quasi-Gauss--Newton Methods for Solving General Nonlinear Equations
Chengchang Liu, Luo Luo