38 citations · 107 across the 13 of their papers we have counts for
13 papers
Automated Linear Parameter-Varying Modeling of Nonlinear Systems: A Global Embedding Approach
E. Javier Olucha, Patrick J. W. Koelewijn, Amritam Das +1
In this paper, an automated Linear Parameter-Varying (LPV) model conversion approach is proposed for nonlinear dynamical systems. The proposed method achieves global embedding of t…
A Tunable Universal Formula for Safety-Critical Control
Ming Li, Zhiyong Sun, Patrick J. W. Koelewijn +1
Sontag's universal formula is a widely used technique for stabilizing control through control Lyapunov functions. Recently, it has been extended to address safety-critical control…
Convex Equilibrium-Free Stability and Performance Analysis of Discrete-Time Nonlinear Systems
Patrick J. W. Koelewijn, Siep Weiland, Roland Tóth
This paper considers the equilibrium-free stability and performance analysis of discrete-time nonlinear systems. We consider two types of equilibrium-free notions. Namely, the univ…
Learning Reduced-Order Linear Parameter-Varying Models of Nonlinear Systems
Patrick J. W. Koelewijn, Rajiv Sing, Peter Seiler +1
In this paper, we consider the learning of a Reduced-Order Linear Parameter-Varying Model (ROLPVM) of a nonlinear dynamical system based on data. This is achieved by a two-step pro…
Equilibrium-Independent Control of Continuous-Time Nonlinear Systems via the LPV Framework -- Extended Version
Patrick J. W. Koelewijn, Siep Weiland, Roland Tóth
In this paper, we consider the analysis and control of continuous-time nonlinear systems to ensure universal shifted stability and performance, i.e., stability and performance w.r.…
Direct data-driven state-feedback control of general nonlinear systems
Chris Verhoek, Patrick J. W. Koelewijn, Sofie Haesaert +1
Through the use of the Fundamental Lemma for linear systems, a direct data-driven state-feedback control synthesis method is presented for a rather general class of nonlinear (NL)…
Incremental Dissipativity based Control of Discrete-Time Nonlinear Systems via the LPV Framework
Patrick J. W. Koelewijn, Roland Tóth, Siep Weiland
Unlike for Linear Time-Invariant (LTI) systems, for nonlinear systems, there exists no general framework for systematic convex controller design which incorporates performance shap…
Nonlinear Tracking and Rejection using Linear Parameter-Varying Control
Patrick J. W. Koelewijn, Roland Tóth, Henk Nijmeijer +1
The Linear Parameter-Varying (LPV) framework has been introduced with the intention to provide stability and performance guarantees for analysis and controller synthesis for Nonlin…
LPV Modeling of Nonlinear Systems: A Multi-Path Feedback Linearization Approach
Hossam S. Abbas, Roland Tóth, Mihály Petreczky +3
This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are described by input affine state-space (…
Incremental Stability and Performance Analysis of Discrete-Time Nonlinear Systems using the LPV Framework
Patrick J. W. Koelewijn, Roland Tóth
The dissipativity framework is widely used to analyze stability and performance of nonlinear systems. By embedding nonlinear systems in an LPV representation, the convex tools of t…
Convex Incremental Dissipativity Analysis of Nonlinear Systems - Extended version
Chris Verhoek, Patrick J. W. Koelewijn, Sofie Haesaert +1
Efficiently computable stability and performance analysis of nonlinear systems becomes increasingly more important in practical applications. Dissipativity can express stability an…
Pitfalls of Guaranteeing Asymptotic Stability in LPV Control of Nonlinear Systems
P. J. W. Koelewijn, G. Sales Mazzoccante, R. Tóth +1
Recently, a number of counter examples have surfaced where Linear Parameter-Varying (LPV) control synthesis applied to achieve asymptotic output tracking and disturbance rejection…
Linear Parameter-Varying Control of Nonlinear Systems based on Incremental Stability
P. J. W. Koelewijn, R. Tóth, H. Nijmeijer
The Linear Parameter-Varying (LPV) framework has long been used to guarantee performance and stability requirements of nonlinear (NL) systems mainly through the -gai…