We are concerned with the computation of the L_∞-norm for an L_∞-function of the form H(s)=C(s)D(s)^-1B(s), where the middle factor is the inverse of a meromorphic matrix-valued …
Learning controllers from data for stabilizing dynamical systems typically follows a two-step process of first identifying a model and then constructing a controller based on the identified …
T Reis, O Rendel, M Voigt - Linear Algebra and its Applications, 2015 - Elsevier
In this paper we revisit the Kalman–Yakubovich–Popov lemma for differential-algebraic control systems. This lemma relates the positive semi-definiteness of the Popov function on …
Model order reduction (MOR) methods that are designed to preserve structural features of a given full order model (FOM) often suffer from a lower accuracy when compared to their non …
Skew-Hamiltonian/Hamiltonian matrix pencils λ S—H appear in many applications, including linear-quadratic optimal control problems, H∞-optimization, certain multibody …
T Reis, M Voigt - SIAM Journal on Control and Optimization, 2019 - SIAM
In this work we revisit the linear-quadratic optimal control problem for differential-algebraic systems on the infinite time horizon with zero terminal state. Based on the recently …
A survey of methods from numerical linear algebra for linear constant coefficient differential- algebraic equations (DAEs) and descriptor control systems is presented. We discuss …
T Breiten, P Schulze - arXiv preprint arXiv:2111.05065, 2021 - arxiv.org
We present a new balancing-based structure-preserving model reduction technique for linear port-Hamiltonian descriptor systems. The proposed method relies on a modification of …
A Tanwani, Q Zhu - IEEE Transactions on Automatic Control, 2019 - ieeexplore.ieee.org
As a subclass of stochastic differential games with algebraic constraints, this article studies dynamic noncooperative games where the dynamics are described by Markov jump …