On the Equivalence of Youla, System-level and Input-output Parameterizations
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Abstract (arXiv)
A convex parameterization of internally stabilizing controllers is fundamental for many controller synthesis procedures. The celebrated Youla parameterization relies on a doubly-coprime factorization of the system, while the recent system-level and input-output characterizations require no doubly-coprime factorization but a set of equality constraints for achievable closed-loop responses. In this paper, we present explicit affine mappings among Youla, system-level and input-output parameterizations. Two direct implications of the affine mappings are 1) any convex problem in Youla, system level, or input-output parameters can be equivalently and convexly formulated in any other one of these frameworks, including the convex system-level synthesis (SLS); 2) the condition of quadratic invariance (QI) is sufficient and necessary for the classical distributed control problem to admit an equivalent convex reformulation in terms of Youla, system-level, or input-output parameters.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Jul 2019.
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Citing papers per year: 2021: 1; 2022: 2.
3 papers.
- 2021On the Sample Complexity of Decentralized Linear Quadratic Regulator with Partially Nested Information Structurecited by 7
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- 2022Learning Decentralized Linear Quadratic Regulators with √T Regretcited by 1
- 2022Learning Decentralized Linear Quadratic Regulators with √T Regret17 Oct 2022
- 2022Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control2 Jun 2022
- 2021On the Sample Complexity of Decentralized Linear Quadratic Regulator with Partially Nested Information Structure14 Oct 2021