Publications related to Near-Optimal Design of Safe Output-Feedback Controllers From Noisy Data

Related publications (12)

Adaptive Disturbance Rejection with Data-driven LPV Control for Hybrid Microvibration Isolation Systems

Requirements for pointing accuracy in Earth observation missions have tightened tolerable microvibration levels on satellites. Various mitigation techniques, including active, passive, and hybrid methods, have been proposed to prevent microvibration propag ...

EPFL2025

Brunovsky Riccati Recursion for Linear Model Predictive Control

Colin Neil Jones, Shaohui Yang

In almost all algorithms for Model Predictive Control (MPC), the most time-consuming step is to solve some form of Linear Quadratic (LQ) Optimal Control Problem (OCP) repeatedly. The commonly recognized best option for this is a Riccati recursion based sol ...

IEEE2025

An optimal control strategy to design passive thermal cloaks of arbitrary shape

Riccardo Saporiti

In this paper, we describe a numerical framework for achieving passive thermal cloaking of arbitrary shapes in both static and transient regimes. The design strategy is cast as the solution of an optimal control problem (OCP) for the heat equation where th ...

2024

Hierarchical Control for Vehicle Repositioning in Autonomous Mobility-on-Demand Systems

Nikolaos Geroliminis, Giancarlo Ferrari Trecate, Pengbo Zhu

Balancing passenger demand and vehicle availability is crucial for ensuring the sustainability and effectiveness of urban transportation systems. To address this challenge, we propose a novel hierarchical strategy for the efficient distribution of empty ve ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2024

Neural Distributed Controllers with Port-Hamiltonian Structures

Giancarlo Ferrari Trecate, Muhammad Zakwan

Controlling large-scale cyber-physical systems necessitates optimal distributed policies, relying solely on local real-time data and limited communication with neighboring agents. However, finding optimal controllers remains challenging, even in seemingly ...

Institute of Electrical and Electronics Engineers Inc.2024

Plasma based noise reduction system

Hervé Lissek, Maxime Volery, Stanislav Sergeev

An active noise reduction system (2) comprising an electroacoustic plasma transducer (5) for mounting in an installation structure and an acoustic sensing system (11). The electroacoustic plasma transducer comprises a plasma electrode arrangement (6) inclu ...

2023

Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning

Henry Markram, Marc-Oliver Gewaltig

From the computational point of view, musculoskeletal control is the problem of controlling high degrees of freedom and dynamic multi-body system that is driven by redundant muscle units. A critical challenge in the control perspective of skeletal joints w ...

2022

Iterative pre-conditioning for expediting the distributed gradient-descent method: The case of linear least-squares problem

Nirupam Gupta

This paper considers the multi-agent linear least-squares problem in a server-agent network architecture. The system comprises multiple agents, each with a set of local data points. The agents are connected to a server, and there is no inter-agent communic ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Identification of AC Distribution Networks With Recursive Least Squares and Optimal Design of Experiment

Giancarlo Ferrari Trecate, Pulkit Nahata

The increasing penetration of intermittent distributed energy resources in power networks calls for novel planning and control methodologies which hinge on detailed knowledge of the grid. However, reliable information concerning the system topology and par ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Distributed model predictive control of buildings and energy hubs

Colin Neil Jones

Model predictive control (MPC) strategies can be applied to the coordination of energy hubs to reduce their energy consumption. Despite the effectiveness of these techniques, their potential for energy savings are potentially underutilized due to the fact ...

ELSEVIER SCIENCE SA2022

Stokes, Gibbs, and Volume Computation of Semi-Algebraic Sets

Matteo Raphael Tacchi

We consider the problem of computing the Lebesgue volume of compact basic semi-algebraic sets. In full generality, it can be approximated as closely as desired by a converging hierarchy of upper bounds obtained by applying the Moment-SOS (sums of squares) ...

SPRINGER2022

giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration

Guillaume Andréa Jérémie Tauzin, Kathryn Hess Bellwald, Anibal Maximiliano Medina Mardones

We introduce giotto-tda, a Python library that integrates high-performance topological data analysis with machine learning via a scikit-learn {compatible API and state-of-the-art C++ implementations. The library's ability to handle various types of data is ...

2021