activity
20172023
most citedAffine Parameter-Dependent Lyapunov Functions for LPV Systems with Affine Dependence

29 citations · 70 across the 16 of their papers we have counts for

collaborators

17 papers

eess.SY2023★ 2 cited

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.…

eess.SY2023★ 1 cited

Moving Obstacle Collision Avoidance via Chance-Constrained MPC with CBF

Ming Li, Zhiyong Sun, Zirui Liao +1

Model predictive control (MPC) with control barrier functions (CBF) is a promising solution to address the moving obstacle collision avoidance (MOCA) problem. Unlike MPC with dista…

stat.ML2022★ 1 cited

Decoupling multivariate functions using a nonparametric filtered tensor decomposition

Jan Decuyper, Koen Tiels, Siep Weiland +2

Multivariate functions emerge naturally in a wide variety of data-driven models. Popular choices are expressions in the form of basis expansions or neural networks. While highly ef…

math.OC2022★ 5 cited

Extension of the Partial Integral Equation Representation to GPDE Input-Output Systems

Sachin Shivakumar, Amritam Das, Siep Weiland +1

It has been shown that the existence of a Partial Integral Equation (PIE) representation of a Partial Differential Equation (PDE) simplifies many numerical aspects of analysis, sim…

eess.SY2021★ 2 cited

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…

eess.SY2021

Decoupling multivariate functions using a non-parametric Filtered CPD approach

Jan Decuyper, Koen Tiels, Siep Weiland +1

Black-box model structures are dominated by large multivariate functions. Usually a generic basis function expansion is used, e.g. a polynomial basis, and the parameters of the fun…

math.NA2021

Structure Preserving Discretization of 1D Nonlinear Port-Hamiltonian Distributed Parameter Systems

B. C. van Huijgevoort, S. Weiland, H. J. Zwart

This paper contributes with a new formal method of spatial discretization of a class of nonlinear distributed parameter systems that allow a port-Hamiltonian representation over a…

eess.SY2021★ 3 cited

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…

eess.SY2020★ 16 cited

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…

math.OC2020★ 2 cited

Duality and -Optimal Control Of Coupled ODE-PDE Systems

Sachin Shivakumar, Amritam Das, Siep Weiland +1

In this paper, we present a convex formulation of -optimal control problem for coupled linear ODE-PDE systems with one spatial dimension. First, we reformulate the coup…

eess.SY2019

Model reduction for linear parameter-varying systems through parameter projection

Sil Schouten, Daming Lou, Siep Weiland

For affine linear parameter-varying (LPV) systems, this paper develops two parameter reduction methods for reducing the dimension of the parameter space. The first method achieves…

math.AP2019

A Generalized LMI Formulation for Input-Output Analysis of Linear Systems of ODEs Coupled with PDEs

Sachin Shivakumar, Amritam Das, Siep Weiland +1

In this paper, we consider input-output properties of linear systems consisting of PDEs on a finite domain coupled with ODEs through the boundary conditions of the PDE. This framew…

math.OC2018★ 3 cited

Representation and Stability Analysis of PDE-ODE Coupled Systems

Amritam Das, Sachin Shivakumar, Siep Weiland +1

In this work, we present a scalable Linear Matrix Inequality (LMI) based framework to verify the stability of a set of linear Partial Differential Equations (PDEs) in one spatial d…

eess.SY2018★ 29 cited

Affine Parameter-Dependent Lyapunov Functions for LPV Systems with Affine Dependence

Pepijn B. Cox, Siep Weiland, Roland Tóth

This paper deals with the certification problem for robust quadratic stability, robust state convergence, and robust quadratic performance of linear systems that exhibit bounded ra…

eess.SY2018★ 1 cited

Parametric model order reduction for large-scale and complex thermal systems

Daming Lou, Siep Weiland

In this paper, a parametric model order reduction (pMOR) technique is proposed to find a simplified system representation of a large-scale and complex thermal system. The main prin…

eess.SY2017

Control refinement for discrete-time descriptor systems: a behavioural approach via simulation relations

Fei Chen, Sofie Haesaert, Alessandro Abate +1

The analysis of industrial processes, modelled as descriptor systems, is often computationally hard due to the presence of both algebraic couplings and difference equations of high…

eess.SY2017★ 5 cited

Robust Fault Diagnosis by Optimal Input Design for Self-sensing Systems

Dhruv Khandelwal, Siep Weiland, Amol Khalate

This paper presents a methodology for model based robust fault diagnosis and a methodology for input design to obtain optimal diagnosis of faults. The proposed algorithm is suitabl…