4.5 Article

New results on sampled-data feedback stabilization for autonomous nonlinear systems

Journal

SYSTEMS & CONTROL LETTERS
Volume 61, Issue 10, Pages 1032-1040

Publisher

ELSEVIER
DOI: 10.1016/j.sysconle.2012.07.009

Keywords

Stabilization; Sampled-data feedback; Nonlinear systems

Ask authors/readers for more resources

Sufficient conditions are established for sampled-data feedback global asymptotic stabilization for nonlinear autonomous systems. One of our main results is an extension of the well known Artstein-Sontag theorem on feedback stabilization concerning affine in the control systems. A second aim of the present work is to provide sufficient conditions for sampled-data feedback asymptotic stabilization for two interconnected nonlinear systems. Lie algebraic sufficient conditions are derived for the case of affine in the control interconnected systems without drift terms. (c) 2012 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
Article Automation & Control Systems

Weak convergence and stability of stochastic hybrid systems with random delay driven by a singularly perturbed Markov chain

Wenjie Cao, Fuke Wu, Minyu Wu

Summary: This paper focuses on the stability of stochastic hybrid systems with random delay driven by a singularly perturbed Markov chain. The limit system is obtained using weak convergence and the martingale method. By utilizing the limit system as a bridge, the moment exponential stability of the original system is established using Razumikhin-type techniques. An example is provided to illustrate the obtained result.

SYSTEMS & CONTROL LETTERS (2024)

Article Automation & Control Systems

A distributed optimization approach via symmetric group actions under time-varying communication networks

Vincenzo Basco

Summary: This paper discusses distributed optimization techniques in multi-agent systems with time-varying communication networks and proposes a novel approach that leverages group actions and probabilistic selection of initial states to solve real-world optimization problems in decentralized environments.

SYSTEMS & CONTROL LETTERS (2024)

Article Automation & Control Systems

Model reduction for second-order systems with inhomogeneous initial conditions

Jennifer Przybilla, Igor Pontes Duff, Peter Benner

Summary: This paper considers the problem of finding surrogate models for large-scale second-order linear time-invariant systems with inhomogeneous initial conditions. Two methodologies are proposed: reducing each component independently and extracting dominant subspaces from Gramians. The error bounds for the overall output approximation are also discussed.

SYSTEMS & CONTROL LETTERS (2024)

Article Automation & Control Systems

Collision avoidance and connectivity preservation using asymmetric barrier Lyapunov function with time-varying distance-constraints

Shubham Singh, Anoop Jain

Summary: This paper proposes a distributed control design methodology to stabilize a desired formation shape in a multi-agent system while incorporating collision avoidance and connectivity preservation simultaneously. Time-varying constraints are applied to handle collision avoidance and connectivity preservation, and the concept of asymmetric time-varying barrier Lyapunov function is exploited to derive the stabilizing distributed control law.

SYSTEMS & CONTROL LETTERS (2024)

Article Automation & Control Systems

Inverse optimal control for averaged cost per stage linear quadratic regulators

Han Zhang, Axel Ringh

Summary: Inverse Optimal Control (IOC) is a powerful framework for learning behavior from expert observations. In this study, we focused on identifying the cost and feedback law from observed trajectories. We proved that identifying the cost is generally an ill-posed problem, but we constructed an estimator for the cost function and showed that it provides a statistically consistent estimate for the true underlying control gain. The constructed estimator is based on convex optimization and exhibits statistical consistency in practice.

SYSTEMS & CONTROL LETTERS (2024)

Article Automation & Control Systems

On contraction of functional differential equations with Markovian switching

Ky Quan Tran, Pham Huu Anh Ngoc

Summary: This paper investigates the exponential contraction in mean square of general functional differential equations with Markovian switching. Explicit criteria for such contraction are derived through a novel approach. An illustrative example is provided.

SYSTEMS & CONTROL LETTERS (2024)

Article Automation & Control Systems

Consumption and portfolio optimization with generalized stochastic differential utility in incomplete markets

Jiangyan Pu, Qi Zhang

Summary: This paper examines the continuous time intertemporal consumption and portfolio choice problems of an investor in a generalized stochastic differential utility preference of Epstein-Zin type with subjective beliefs and ambiguity. The paper provides closed-form optimal consumption and portfolio solutions with subjective beliefs and numerical solutions with ambiguity for the Heston model in an incomplete market.

SYSTEMS & CONTROL LETTERS (2024)