On characterizations of the input-to-state stability property
Systems & Control Letters
Further results on strict Lyapunov functions for rapidly time-varying nonlinear systems
Automatica (Journal of IFAC)
Input-to-state stability of networked control systems
Automatica (Journal of IFAC)
Stabilization of a chemostat model with Haldane growth functions and a delay in the measurements
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Nash equilibrium and robust stability in dynamic games: A small-gain perspective
Computers & Mathematics with Applications
Generating positive and stable solutions through delayed state feedback
Automatica (Journal of IFAC)
Stabilization by Means of Approximate Predictors for Systems with Delayed Input
SIAM Journal on Control and Optimization
Brief paper: Lyapunov criteria for stability in Lp norm of special neutral systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Backstepping for Nonlinear Systems with Delay in the Input Revisited
SIAM Journal on Control and Optimization
Truncated predictor feedback for linear systems with long time-varying input delays
Automatica (Journal of IFAC)
Asymptotic stabilization for feedforward systems with delayed feedbacks
Automatica (Journal of IFAC)
Robustness of nonlinear systems with respect to delay and sampling of the controls
Automatica (Journal of IFAC)
Robustness of nonlinear predictor feedback laws to time- and state-dependent delay perturbations
Automatica (Journal of IFAC)
Stabilization of nonlinear delay systems using approximate predictors and high-gain observers
Automatica (Journal of IFAC)
Hi-index | 22.16 |
We consider a class of nonlinear control systems for which stabilizing feedbacks and corresponding Lyapunov functions for the closed-loop systems are available. In the presence of feedback delays and actuator errors, we explicitly construct input-to-state stability (ISS) Lyapunov-Krasovskii functionals for the resulting feedback delayed dynamics, in terms of the available Lyapunov functions for the original undelayed dynamics, which establishes that the closed-loop systems are input-to-state stable (ISS) with respect to actuator errors. We illustrate our results using a generalized system from identification theory and other examples.