Many physical systems are passive (or dissipative): they are unable to generate energy on their own, but they can store energy in some form while exchanging power with the surrounding environment. This chapter describes the most prominent approaches for ensuring that Reduced Order Models are passive, so that their math- ematical representation satisfies an appropriate dissipativity condition. The main focus is on Linear and Time-Invariant (LTI) systems in state-space form. Different conditions for testing passivity of a given LTI model are discussed, including Linear Matrix Inequalities (LMIs), Frequency-Domain Inequalities, and spectral conditions on associated Hamiltonian matrices. Then we describe common approaches for perturbing a given non-passive system to enforce its passivity. Various examples from electronic applications are used to demonstrate both theory and algorithm performance.

5 Post-processing methods for passivity enforcement / Grivet-Talocia, Stefano; Silveira, Luis Miguel - In: Model Order Reduction. Volume 1: System- and Data-Driven Methods and Algorithms / Peter Benner, Stefano Grivet-Talocia, Alfio Quarteroni, Gianluigi Rozza, Wil Schilders, Luís Miguel Silveira},. - STAMPA. - Berlin : De Gruyter, 2021. - ISBN 9783110498967. - pp. 139-180 [10.1515/9783110498967-005]

5 Post-processing methods for passivity enforcement

Grivet-Talocia, Stefano;
2021

Abstract

Many physical systems are passive (or dissipative): they are unable to generate energy on their own, but they can store energy in some form while exchanging power with the surrounding environment. This chapter describes the most prominent approaches for ensuring that Reduced Order Models are passive, so that their math- ematical representation satisfies an appropriate dissipativity condition. The main focus is on Linear and Time-Invariant (LTI) systems in state-space form. Different conditions for testing passivity of a given LTI model are discussed, including Linear Matrix Inequalities (LMIs), Frequency-Domain Inequalities, and spectral conditions on associated Hamiltonian matrices. Then we describe common approaches for perturbing a given non-passive system to enforce its passivity. Various examples from electronic applications are used to demonstrate both theory and algorithm performance.
2021
9783110498967
Model Order Reduction. Volume 1: System- and Data-Driven Methods and Algorithms
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2935796