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We present a framework for model-free learning of event-triggered control strategies. Event-triggered methods aim to achieve high control performance while only closing the feedback loop when needed. This enables resource savings, e.g.,…

Systems and Control · Electrical Eng. & Systems 2021-04-26 Niklas Funk , Dominik Baumann , Vincent Berenz , Sebastian Trimpe

The development of feedback controllers is undergoing a paradigm shift from $\textit{modelic}$ (model-driven) control to $\textit{datatic}$ (data-driven) control. Stability, as a fundamental property in control, is less well studied in…

Systems and Control · Electrical Eng. & Systems 2024-01-31 Yujie Yang , Zhilong Zheng , Shengbo Eben Li

Autonomous agents operating in continuous environments must decide not only what to do, but when to act. We introduce a lightweight adaptive temporal control system that learns the optimal interval between cognitive ticks from experience,…

Machine Learning · Computer Science 2026-03-27 Davide Di Gioia

Stabilization of a coupled system consisting of a parabolic partial differential equation and an elliptic partial differential equation is considered. Even in the situation when the parabolic equation is exponentially stable on its own, the…

Optimization and Control · Mathematics 2023-09-04 Ala' Alalabi , Kirsten Morris

We study the problem of periodic event-triggered control of interconnected port-Hamiltonian systems subject to time-varying delays in their communication. In particular, we design a threshold parameter for the event-triggering condition, a…

Systems and Control · Electrical Eng. & Systems 2022-07-14 Ernesto Aranda-Escolástico , Leonardo J. Colombo , María Guinaldo , Antonio Visioli

The present paper considers the model-based and data-driven control of unknown linear time-invariant discrete-time systems under event-triggering and self-triggering transmission schemes. To this end, we begin by presenting a dynamic…

Systems and Control · Electrical Eng. & Systems 2023-09-15 Xin Wang , Julian Berberich , Jian Sun , Gang Wang , Frank Allgöwer , Jie Chen

This paper investigates the data-driven co-design of event-triggered control (ETC) and sparse control (SC) for networked control systems (NCSs) with unknown linear dynamics. While ETC and SC have been widely studied as effective strategies…

Optimization and Control · Mathematics 2026-05-19 Zhaohua Yang , Xiaoxu Lyu , Dawei Shi , Ling Shi

This paper proposes a discrete-time event-triggered extremum seeking control scheme for real-time optimization of nonlinear systems. Unlike conventional discrete-time implementations relying on periodic updates, the proposed approach…

Optimization and Control · Mathematics 2026-04-03 Victor Hugo Pereira Rodrigues , Tiago Roux Oliveira , Miroslav Krstić , Frank Allgöwer

We present an adaptive event-triggered boundary control scheme for a parabolic PDE-ODE system, where the reaction coefficient of the parabolic PDE, and the system parameter of a scalar ODE, are unknown. In the proposed controller, the…

Optimization and Control · Mathematics 2021-10-13 Ji Wang , Miroslav Krstic

This paper studies the event-triggered control problem for time-delay systems. A novel event-triggering scheme is proposed to exponentially stabilize a class of linear time-delay systems. By employing a new Halanay-type inequality and the…

Optimization and Control · Mathematics 2023-08-17 Kexue Zhang

This paper studies the problem of distributed state estimation of linear time-invariant (LTI) systems under event-triggered communication. For event-triggering mechanisms, the existence of positive minimum inter-event times (MIETs) is an…

Systems and Control · Electrical Eng. & Systems 2026-04-14 Yiyang Liu , Xianwei Li , Shaoyuan Li

This paper deals with the problem of boundary stabilization of 1D reaction-diffusion PDEs with a time- and space- varying reaction coefficient. The boundary control design relies on the backstepping approach. The gains of the boundary…

Optimization and Control · Mathematics 2020-05-29 Iasson Karafyllis , Nicolas Espitia , Miroslav Krstic

This paper considers the robustness of event-triggered control of general linear systems against additive or multiplicative frequency-domain uncertainties. It is revealed that in static or dynamic event triggering mechanisms, the sampling…

Systems and Control · Electrical Eng. & Systems 2022-03-07 Shiqi Zhang , Zhongkui Li

This paper addresses the stability and $\ell^2$-gain analysis of adaptive control systems with event-triggered try-once-discard protocols. At every sampling time, an event trigger evaluates an error between the current value and the last…

Optimization and Control · Mathematics 2018-01-25 Masashi Wakaiki

A conceptual design methodology is proposed for event-triggered based power system wide area damping controller. The event-triggering mechanism is adopted to reduce the communication burden between origin of the remote signal and the wide…

Optimization and Control · Mathematics 2016-01-05 Mahendra Bhadu , Niladri Sekhar Tripathy , I. N. Kar , Nilanjan Senroy

We present a prescriptive framework for the event-triggered control of nonlinear systems. Rather than closing the loop periodically, as traditionally done in digital control, in event-triggered implementations the loop is closed according…

Optimization and Control · Mathematics 2011-08-30 Romain Postoyan , Adolfo Anta , Dragan Nesic , Paulo Tabuada

A framework for the event-triggered control synthesis under signal temporal logic (STL) tasks is proposed. In our previous work, a continuous-time feedback control law was designed, using the prescribed performance control technique, to…

Systems and Control · Electrical Eng. & Systems 2020-11-26 Lars Lindemann , Dipankar Maity , John S. Baras , Dimos V. Dimarogonas

The present paper deals with data-driven event-triggered control of a class of unknown discrete-time interconnected systems (a.k.a. network systems). To this end, we start by putting forth a novel distributed event-triggering transmission…

Systems and Control · Electrical Eng. & Systems 2023-09-15 Xin Wang , Jian Sun , Gang Wang , Frank Allgöwer , Jie Chen

This paper presents a longitudinal slip control system for a rear-wheel-driven electric endurance race car. The control system integrates Model Predictive Control (MPC) with Extremum Seeking Control (ESC) to optimize the traction and…

Systems and Control · Electrical Eng. & Systems 2024-11-26 Wytze de Vries , Jorn van Kampen , Mauro Salazar

Nonlinear dynamical behaviours in engineering applications can be approximated by linear-parameter varying (LPV) representations, but obtaining precise model knowledge to develop a control algorithm is difficult in practice. In this paper,…

Systems and Control · Electrical Eng. & Systems 2025-06-11 Renjie Ma , Su Zhang , Wenjie Liu , Zhijian Hu , Peng Shi
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