Publications related to Automatic Laboratory 1

Real-time optimization of load sharing for gas compressors in the presence of uncertainty

Dominique Bonvin, Timm Faulwasser, Alejandro Gabriel Marchetti, Predrag Milosavljevic

This paper investigates the problem of load-sharing optimization of gas compressors in the presence of uncertainty. The objective is to operate a set of compressor units in an energy-efficient way, while at the same time meeting a varying load demand. The ...

ELSEVIER SCI LTD2020

First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance

Maryam Kamgarpour, Luca Furieri

We study the distributed Linear Quadratic Gaussian (LQG) control problem in discrete-time and finite-horizon, where the controller depends linearly on the history of the outputs and it is required to lie in a given subspace, e.g. to possess a certain spars ...

IEEE2020

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

Maryam Kamgarpour, Luca Furieri, Na Li

It is known that the set of internally stabilizing controller

\mathcal{C}_{\text{stab}}

is non-convex, but it admits convex characterizations using certain closed-loop maps: a classical result is the {Youla parameterization}, and two recent notions are t ...

2020

Finding Second-Order Stationary Points in Constrained Minimization: A Feasible Direction Approach

Shaul Nadav Hallak

This paper introduces a method for computing points satisfying the second-order necessary optimality conditions for nonconvex minimization problems subject to a closed and convex constraint set. The method comprises two independent steps corresponding to t ...

SPRINGER/PLENUM PUBLISHERS2020

A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features

Ali H. Sayed, Sulaiman A S A E Alghunaim, Ming Yan

This work studies multi-agent sharing optimization problems with the objective function being the sum of smooth local functions plus a convex (possibly non-smooth) function coupling all agents. This scenario arises in many machine learning and engineering ...

IEEE2020

Revisiting the concept of extents for chemical reaction systems using an enthalpy balance

Dominique Bonvin, Diogo Filipe Mateus Rodrigues

For the investigation of complex reaction systems, it has been proposed to decouple the various rate processes using a linear time-invariant transformation that is constructed from knowledge of stoichiometry, reaction enthalpies, inlet compositions and tem ...

PERGAMON-ELSEVIER SCIENCE LTD2020

A note on efficient computation of privileged directions in modifier adaptation

Dominique Bonvin, Timm Faulwasser, Alejandro Gabriel Marchetti, Martand Singhal

In the presence of plant-model mismatch, the estimation of plant gradients is key to the performance of measurement-based iterative optimization schemes. However, gradient estimation requires time-consuming experiments, wherein the plant is sequentially pe ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Dynamical System Modeling of Self-Regulated Systems Undergoing Multiple Excitations: First Order Differential Equation Approach

Julien Gilles Edgar Gateau

This article proposes a dynamical system modeling approach for the analysis of longitudinal data of self-regulated homeostatic systems experiencing multiple excitations. It focuses on the evolution of a signal (e.g., heart rate) before, during, and after e ...

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD2020

Power calibration methodology at the CROCUS reactor

Andreas Pautz, Vincent Pierre Lamirand, Oskari Ville Pakari, Pavel Frajtag, Axel Guy Marie Laureau

In the present article, we detail the method used to experimentally determine the power of the CROCUS zero-power reactor, and to subsequently calibrate its ex-core monitor fission chambers. Knowledge of the reactor power is a mandatory quantity for a safe ...

E D P SCIENCES2020

Sparsity Invariance for Convex Design of Distributed Controllers

Maryam Kamgarpour, Luca Furieri, Yu Zheng

We address the problem of designing optimal linear time-invariant (LTI) sparse controllers for LTI systems, which corresponds to minimizing a norm of the closed-loop system subjected to sparsity constraints on the controller structure. This problem is NP-h ...

2020

Automatic Laboratory 1

Graph Chatbot

Chat with Graph Search

Real-time optimization of load sharing for gas compressors in the presence of uncertainty

First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

Finding Second-Order Stationary Points in Constrained Minimization: A Feasible Direction Approach

A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features

Revisiting the concept of extents for chemical reaction systems using an enthalpy balance

A note on efficient computation of privileged directions in modifier adaptation

Dynamical System Modeling of Self-Regulated Systems Undergoing Multiple Excitations: First Order Differential Equation Approach

Power calibration methodology at the CROCUS reactor

Sparsity Invariance for Convex Design of Distributed Controllers

Revisiting the concept of extents for chemical reaction systems using an enthalpy balance

A note on efficient computation of privileged directions in modifier adaptation

Finding Second-Order Stationary Points in Constrained Minimization: A Feasible Direction Approach

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

Dynamical System Modeling of Self-Regulated Systems Undergoing Multiple Excitations: First Order Differential Equation Approach

Real-time optimization of load sharing for gas compressors in the presence of uncertainty

A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features

First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance

Power calibration methodology at the CROCUS reactor

Sparsity Invariance for Convex Design of Distributed Controllers