Extremum seeking (ES) is a powerful approach to the optimization and stabilization of
unknown dynamic systems and is an active field of research in control theory. This paper …

Intelligent reflecting surface (IRS) is envisioned to change the paradigm of wireless
communications from “adapting to wireless channels” to “changing wireless channels” …

In this paper, we address the design and analysis of multi-variable extremum seeking for
static maps subject to arbitrarily long time delays. Both Gradient and Newton-based methods …

Since their introduction, anti-lock braking systems (ABS) have mostly relied on heuristic, rule-
based control strategies. ABS performance, however, can be significantly improved thanks …

This paper presents a prescriptive framework for the design and analysis of a class of
deterministic extremum seeking controllers (ESCs) based on hybrid dynamic inclusions …

Originating in 1922, in its 95-year history, extremum seeking has served as a tool for model-
free real-time optimization of stable dynamic systems. We introduce a paradigm in which not …

This paper presents a new class of robust zero-order algorithms for the solution of real-time
optimization problems with acceleration. In particular, we propose a family of extremum …

The last year was the centennial of the 1922 invention, in the context of maximizing the
power transfer to an electric tram car, of the method for real-time model-free optimization …

Modern and coming generations of electric and automated vehicles are characterized by
higher requirements to robust and fault-tolerant operation of chassis systems independently …

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 …