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research article

System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation

Zheng, Yang
•
Furieri, Luca  
•
Kamgarpour, Maryam  
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June 1, 2022
Automatica

It is known that the set of internally stabilizing controller Cstab is non-convex, but it admits convex characterizations using certain closed-loop maps: a classical result is the Youla parameterization, and two recent notions are the system-level parameterization (SLP) and the input-output parameterization (IOP). In this paper, we address the existence of new convex parameterizations and discuss potential tradeoffs of each parameterization in different scenarios. Our main contributions are: (1) We reveal that only four groups of stable closed-loop transfer matrices are equivalent to internal stability: one of them is used in the SLP, another one is used in the IOP, and the other two are new, leading to two new convex parameterizations of Cstab. (2) We investigate the properties of these parameterizations after imposing the finite impulse response (FIR) approximation, revealing that the IOP has the best ability of approximating Cstab given FIR constraints. (3) These four parameterizations require no a priori doubly-coprime factorization of the plant, but impose a set of equality constraints. However, these equality constraints will never be satisfied exactly in floating-point arithmetic computation and/or implementation. We prove that the IOP is numerically robust for open-loop stable plants, in the sense that small mismatches in the equality constraints do not compromise the closed-loop stability; but a direct IOP implementation will fail to stabilize open-loop unstable systems in practice. The SLP is known to enjoy numerical robustness in the state feedback case; here, we show that numerical robustness of the four-block SLP controller requires case-by-case analysis even when the plant is open-loop stable.(C) 2022 The Author(s). Published by Elsevier Ltd.

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Type
research article
DOI
10.1016/j.automatica.2022.110211
Web of Science ID

WOS:000792908900019

Author(s)
Zheng, Yang
Furieri, Luca  
Kamgarpour, Maryam  
Li, Na
Date Issued

2022-06-01

Publisher

PERGAMON-ELSEVIER SCIENCE LTD

Published in
Automatica
Volume

140

Article Number

110211

Subjects

Automation & Control Systems

•

Engineering, Electrical & Electronic

•

Automation & Control Systems

•

Engineering

•

internal stability

•

youla parameterization

•

system-level synthesis

•

convex optimization

•

state-space

•

design

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

Available on Infoscience
June 6, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/188340
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