A structure exploiting SDP solver for robust controller synthesis
Not on the map. Why?
Abstract (arXiv)
In this paper, we revisit structure exploiting SDP solvers dedicated to the solution of Kalman-Yakubovic-Popov semi-definite programs (KYP-SDPs). These SDPs inherit their name from the KYP Lemma and they play a crucial role in e.g. robustness analysis, robust state feedback synthesis, and robust estimator synthesis for uncertain dynamical systems. Off-the-shelve SDP solvers require O(n6) arithmetic operations per Newton step to solve this class of problems, where n is the state dimension of the dynamical system under consideration. Specialized solvers reduce this complexity to O(n3). However, existing specialized solvers do not include semi-definite constraints on the Lyapunov matrix, which is necessary for controller synthesis. In this paper, we show how to include such constraints in structure exploiting KYP-SDP solvers.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Apr 2023.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2024: 3.
3 papers.
- 2024Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activationscited by 6
- 2024SafEDMD: A Koopman-based data-driven controller design framework for nonlinear dynamical systemscited by 4
- 2024End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic datacited by 1
- 2024End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data26 Sep 2024
- 2024SafEDMD: A Koopman-based data-driven controller design framework for nonlinear dynamical systems5 Feb 2024
- 2024Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations25 Jan 2024