Determinability and state estimation for switched differential-algebraic equations
Aneel Tanwani, Stephan Trenn

TL;DR
This paper addresses the challenge of state estimation for switched differential-algebraic systems by introducing a new observability concept and proposing estimators that guarantee asymptotic convergence.
Contribution
It introduces a novel observability notion for switched DAE systems and develops estimators ensuring asymptotic state convergence.
Findings
Derived an explicit state reconstruction formula.
Proposed estimators with guaranteed asymptotic convergence.
Enhanced understanding of observability in switched DAE systems.
Abstract
The problem of state reconstruction and estimation is considered for a class of switched dynamical systems whose subsystems are modeled using linear differential-algebraic equations (DAEs). Since this system class imposes time-varying dynamic and static (in the form of algebraic constraints) relations on the evolution of state trajectories, an appropriate notion of observability is presented which accommodates these phenomena. Based on this notion, we first derive a formula for the reconstruction of the state of the system where we explicitly obtain an injective mapping from the output to the state. In practice, such a mapping may be difficult to realize numerically and hence a class of estimators is proposed which ensures that the state estimate converges asymptotically to the real state of the system.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
