Resilient reinforcement learning and robust output regulation under denial-of-service attacks
In this paper, we have proposed a novel resilient reinforcement learning approach for
solving robust optimal output regulation problems of a class of partially linear systems under …
solving robust optimal output regulation problems of a class of partially linear systems under …
[HTML][HTML] Multi-time scale control and optimization via averaging and singular perturbation theory: From ODEs to hybrid dynamical systems
Multi-time scale techniques based on singular perturbations and averaging theory are
among the most powerful tools developed for the synthesis and analysis of feedback control …
among the most powerful tools developed for the synthesis and analysis of feedback control …
Sampled-data extremum seeking with constant delay: a time-delay approach
This article proposes a constructive method for sampled-data extremum seeking (ES) with
square wave dithers and constant delays, by using two time-delay approaches: one to …
square wave dithers and constant delays, by using two time-delay approaches: one to …
Continuous-time zeroth-order dynamics with projection maps: Model-free feedback optimization with safety guarantees
This paper introduces a class of model-free feedback methods for solving generic
constrained optimization problems where the mathematical forms of the cost and constraint …
constrained optimization problems where the mathematical forms of the cost and constraint …
Extremum seeking control and gradient estimation based on the Super-Twisting algorithm
This article addresses the problem of extremum seeking of a continuous-time dynamical
system with a single input and a single output. A Super-Twisting-based optimization …
system with a single input and a single output. A Super-Twisting-based optimization …
On Lie-bracket averaging for a class of hybrid dynamical systems with applications to model-free control and optimization
Dynamical systems characterized by oscillatory behaviors and well-defined average vector
fields have traditionally been subjects of stability analysis through methodologies rooted in …
fields have traditionally been subjects of stability analysis through methodologies rooted in …
Hybrid Minimum-Seeking in Synergistic Lyapunov Functions: Robust Global Stabilization under Unknown Control Directions
We consider the problem of robust global stabilization for a control-affine systems with
dynamic uncertainty in the control directions and in the presence of topological obstructions …
dynamic uncertainty in the control directions and in the presence of topological obstructions …
Zero‐sum game optimal control for the nonlinear switched systems based on heuristic dynamic programming
X Fu, Z Li - Optimal Control Applications and Methods, 2023 - Wiley Online Library
In this article, the zero‐sum game problem of control and disturbance is studied for discrete
affine nonlinear switched systems with unknown dynamical models. A two‐level heuristic …
affine nonlinear switched systems with unknown dynamical models. A two‐level heuristic …
On Lie-Bracket Averaging for Hybrid Dynamical Systems with Applications to Model-Free Control and Optimization
The stability of dynamical systems with oscillatory behaviors and well-defined average
vector fields has traditionally been studied using averaging theory. These tools have also …
vector fields has traditionally been studied using averaging theory. These tools have also …
Newton nonholonomic source seeking for distance-dependent maps
V Todorovski, M KrstićFellow - IEEE Transactions on Automatic …, 2024 - ieeexplore.ieee.org
The topics of source seeking and Newton-based extremum seeking have flourished,
independently, but never combined. We present the first Newton-based source seeking …
independently, but never combined. We present the first Newton-based source seeking …