Stereographic projection of probabilistic frequency-domain uncertainty

Date published

2024-12-16

Free to read from

2025-03-12

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IEEE

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Conference paper

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Citation

Nyström A, Renganathan V, Cantoni M. (2024) Stereographic projection of probabilistic frequency-domain uncertainty. In: Proceedings of the 2024 IEEE 63rd Conference on Decision and Control (CDC). 16 Dec 2024 - 19 Dec 2024, Milan, Italy, pp. 4411-4417

Abstract

This paper investigates the stereographic projection of points along the Nyquist plots of single input single output (SISO) linear time invariant (LTI) systems subject to probabilistic uncertainty. At each frequency, there corresponds a complex-valued random variable with given probability distribution in the complex plane. The chordal distance between the stereographic projections of this complex value and the corresponding value for a nominal model, as per the well-known ν-Gap metric of Vinnicombe, is also a random quantity. The main result provides the cumulative density function (CDF) of the chordal distance at a given frequency. Such a stochastic distance framework opens up a fresh and a fertile research direction on probabilistic robust control theory.

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Github

Keywords

4901 Applied Mathematics, 49 Mathematical Sciences, 4007 Control Engineering, Mechatronics and Robotics, 40 Engineering, Robust control, Measurement, Linear systems, Uncertainty, SISO, Frequency-domain analysis, Stochastic processes, Probabilistic logic, Probability distribution, Random variables

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Attribution 4.0 International

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Funder/s

This research project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program under grant agreement No 834142 (Scalable Control).