Observability and State Estimation for a Class of Nonlinear Systems
John Tsinias, Constantinos Kitsos

TL;DR
This paper establishes conditions under which the state of certain nonlinear, time-varying systems can be estimated accurately, introducing a sequence of functionals and hybrid observers for improved estimation.
Contribution
It provides new sufficient conditions for state estimation in nonlinear systems with triangular structure, including the development of a sequence of functionals and hybrid observers.
Findings
Derived sufficient conditions for state estimation solvability
Introduced a sequence of functionals for approximating states
Demonstrated the effectiveness of hybrid observers
Abstract
We derive sufficient conditions for the solvability of the state estimation problem for a class of nonlinear control time-varying systems which includes those, whose dynamics have triangular structure. The state estimation is exhibited by means of a sequence of functionals approximating the unknown state of the system on a given bounded time interval. More assumptions guarantee solvability of the state estimation problem by means of a hybrid observer.
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.
