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20132023
most citedRobust data-driven state-feedback design

187 citations · 388 across the 22 of their papers we have counts for

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21 papers · 1 filter

math.OC2023

Robust Exponential Stability and Invariance Guarantees with General Dynamic O'Shea-Zames-Falb Multipliers

Carsten W. Scherer

We propose novel time-domain dynamic integral quadratic constraints with a terminal cost for exponentially weighted slope-restricted gradients of not necessarily convex functions.…

math.OC2023

Optimization Algorithm Synthesis based on Integral Quadratic Constraints: A Tutorial

Carsten W. Scherer, Christian Ebenbauer, Tobias Holicki

We expose in a tutorial fashion the mechanisms which underlie the synthesis of optimization algorithms based on dynamic integral quadratic constraints. We reveal how these tools fr…

math.OC2023

A structure exploiting SDP solver for robust controller synthesis

Dennis Gramlich, Tobias Holicki, Carsten W. Scherer +1

In this paper, we revisit structure exploiting SDP solvers dedicated to the solution of Kalman-Yakubovic-Popov semi-definite programs (KYP-SDPs). These SDPs inherit their name from…

math.OC2023

Convolutional Neural Networks as 2-D systems

Dennis Gramlich, Patricia Pauli, Carsten W. Scherer +2

This paper introduces a novel representation of convolutional Neural Networks (CNNs) in terms of 2-D dynamical systems. To this end, the usual description of convolutional layers w…

math.OC2022

IQC Based Analysis and Estimator Design for Discrete-Time Systems Affected by Impulsive Uncertainties

Tobias Holicki, Carsten W. Scherer

We propose novel quadratic performance tests for linear discrete-time impulsive systems based on viewing these systems as feedback interconnections of some non-impulsive linear sys…

math.OC2022

Input-Output-Data-Enhanced Robust Analysis via Lifting

Tobias Holicki, Carsten W. Scherer

Starting from a linear fractional representation of a linear system affected by constant parametric uncertainties, we demonstrate how to enhance standard robust analysis tests by t…

math.OC2022★ 2 cited

On the exactness of a stability test for Lur'e systems with slope-restricted nonlinearities

Andrey Kharitenko, Carsten W. Scherer

In this note it is shown that the famous multiplier absolute stability test of R. O'Shea, G. Zames and P. Falb is necessary and sufficient if the set of Lur'e interconnections is l…

math.OC2022

Dissipativity, Convexity and Tight O'Shea-Zames-Falb Multipliers for Safety Guarantees

Carsten W. Scherer

We develop a novel convex parametrization of integral quadratic constraints with a terminal cost for subdifferentials of convex functions, involving general O'Shea-Zames-Falb multi…

math.OC2022

Robust Differential Dynamic Programming

Dennis Gramlich, Carsten W. Scherer, Christian Ebenbauer

Differential Dynamic Programming is an optimal control technique often used for trajectory generation. Many variations of this algorithm have been developed in the literature, incl…

math.OC2022★ 1 cited

A Dynamic S-Procedure for Dynamic Uncertainties

Tobias Holicki, Carsten W. Scherer

We show how to compose robust stability tests for uncertain systems modeled as linear fractional representations and affected by various types of dynamic uncertainties. Our results…

math.OC2021

Dissipativity and Integral Quadratic Constraints, Tailored computational robustness tests for complex interconnections

Carsten Scherer

A central notion in systems theory is dissipativity, which has been introduced by Jan Willems with the explicit goal of arriving at a fundamental understanding of the stability pro…

math.OC2021

Convex Synthesis of Accelerated Gradient Algorithms

Carsten Scherer, Christian Ebenbauer

We present a convex solution for the design of generalized accelerated gradient algorithms for strongly convex objective functions with Lipschitz continuous gradients. We utilize i…

math.OC2020★ 3 cited

Revisiting and Generalizing the Dual Iteration for Static and Robust Output-Feedback Synthesis

Tobias Holicki, Carsten W. Scherer

The dual iteration was introduced in a conference paper in 1997 by Iwasaki as an iterative and heuristic procedure for the challenging and non-convex design of static output-feedba…

math.OC2020★ 4 cited

Convex Synthesis of Accelerated Gradient Algorithms for Optimization and Saddle Point Problems using Lyapunov functions

Dennis Gramlich, Christian Ebenbauer, Carsten W. Scherer

This paper considers the problem of designing accelerated gradient-based algorithms for optimization and saddle-point problems. The class of objective functions is defined by a gen…

math.OC2020★ 11 cited

Controller Design via Experimental Exploration with Robustness Guarantees

Tobias Holicki, Carsten W. Scherer, Sebastian Trimpe

For a partially unknown linear systems, we present a systematic control design approach based on generated data from measurements of closed-loop experiments with suitable test cont…

math.OC2020

Integral Quadratic Constraints on Linear Infinite-dimensional Systems for Robust Stability Analysis

Matthieu Barreau, Carsten W. Scherer, Frederic Gouaisbaut +1

This paper proposes a framework to assess the stability of an ordinary differential equation which is coupled to a 1D-partial differential equation (PDE). The stability theorem is…

math.OC2020★ 6 cited

Lifting to Passivity for -Gain-Scheduling Synthesis with Full Block Scalings

Christian A. Rösinger, Carsten W. Scherer

We focus on the -gain-scheduling synthesis problem for time-varying parametric scheduling blocks with scalings. Recently, we have presented a solution of this proble…

math.OC2019★ 3 cited

Output-Feedback Synthesis for a Class of Aperiodic Impulsive Systems

Tobias Holicki, Carsten W. Scherer

We derive novel criteria for designing stabilizing dynamic output-feedback controllers for a class of aperiodic impulsive systems subject to a range dwell-time condition. Our synth…

math.OC2019★ 8 cited

Robust and structure exploiting optimization algorithms: An integral quadratic constraint approach

Simon Michalowsky, Carsten Scherer, Christian Ebenbauer

We consider the problem of analyzing and designing gradient-based discrete-time optimization algorithms for a class of unconstrained optimization problems having strongly convex ob…

math.OC2018

Stability analysis by dynamic dissipation inequalities: On merging frequency-domain techniques with time-domain conditions

Carsten W. Scherer, Joost Veenman

In this paper we provide a complete link between dissipation theory and a celebrated result on stability analysis with integral quadratic constraints. This is achieved with a new s…

math.OC2013★ 7 cited

Structured -Optimal Control for Nested Interconnections: A State-Space Solution

Carsten W. Scherer

If imposing general structural constraints on controllers, it is unknown how to design -controllers by convex optimization. Under a so-called quadratic invariance structu…