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 …

Two frameworks are proposed for extremum seeking of general nonlinear plants based on a
sampled-data control law, within which a broad class of nonlinear programming methods is …

In this paper we present a distributed extremum seeking control, designed to perform real-
time resource allocation in multi-agent systems (MAS). The algorithm allows the optimal …

We introduce a perturbation-based extremum-seeking controller for general nonlinear
dynamical plants with an arbitrary number of tunable plant parameters. The controller …

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 …

Dynamical systems characterized by oscillatory behaviors and well-defined average vector
fields have traditionally been subjects of stability analysis through methodologies rooted in …

This paper introduces a class of model-free feedback methods for solving generic
constrained optimization problems where the specific mathematical forms of the objective …

We present a novel scheme of a deterministic continuous extremum seeking control based
on evolutionary game theory (EGT), which allows the optimization in real-time of non …

This technical note considers the stability of a class of singularly perturbed hybrid systems
with a continuous slow subsystem. This type of system encompasses many slowly-varying …

The lift coefficient of a configuration made of a flat plate with a trailing-edge plain flap is
maximized at post-stall conditions by driving automatically the forcing frequency of a fluidic …