University of Connecticut

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Analysis and Probability Seminar
Unobservability in system stabilization
Ludovic Sacchelli (Lehigh University)

Friday, April 24, 2020
1:30pm – 2:30pm

Storrs Campus
Online

Abstract: Stabilizing the state of a dynamical system to a target point is a classical problem in control theory. However, in many physical problems, only a partial measure of the state is known. A commonly used idea is to rely on an observer that dynamically learns the state of the system. To achieve stabilization via an observer, some guarantees on the quality of the measure are needed to make sure that the estimates are reliable. A common hypothesis to achieve this strategy is "uniform observability" of the system, where for any state, a base level of information is always given by the measure. Nonlinear systems however, can present symmetries that completely break this assumption, and it is in fact not generic for a nonlinear dynamical system to be uniformly observable. Without a strong observability assumption, the usual strategies break down and new methods need to be explored to resolve this issue. Armed with case studies from quantum physics and system engineering, we develop a theory of embedding of systems. Considering high-dimensional (sometimes infinite-dimensional) embeddings of dynamical systems actually allows the introduction of new and better suited observability techniques.

Contact:

scott.zimmerman@uconn.edu

Analysis and Probability Seminar (primary), UConn Master Calendar

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