Observability is Sufficient for the Design of Globally Exponentially Convergent State Observers for State-affine Nonlinear Systems
In this paper we are interested in the problem of state observation of state-affine nonlinear systems. Our main contribution is to propose a globally exponentially convergent observer that requires only the necessary assumption of observability of the system. To the best of the authors' knowledge this is the first time such a result is reported in the literature.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Globally exponentially convergent observer for systems evolving on matrix Lie groups
We propose a globally exponentially convergent observer for the dynamical system evolving on matrix Lie groups with bounded velocity with unknown bound. We design the observer in the ambient Euclidean space and show expo…
TranslationGlobally convergent visual-feature range estimation with biased inertial measurements
The design of a globally convergent position observer for feature points from visual information is a challenging problem, especially for the case with only inertial measurements and without assumptions of uniform observ…
parameter estimationA Globally Convergent Estimator of the Parameters of the Classical Model of a Continuous Stirred Tank Reactor
In this paper we provide the first solution to the challenging problem of designing a globally exponentially convergent estimator for the parameters of the standard model of a continuous stirred tank reactor. Because of …
regressionAttitude estimation from vector measurements: Necessary and sufficient conditions and convergent observer design
The paper addresses the problem of attitude estimation for rigid bodies using (possibly time-varying) vector measurements, for which we provide a necessary and sufficient condition of distinguishability. Such a condition…
Distributed State Estimation for Linear Time-invariant Systems with Aperiodic Sampled Measurement
This paper deals with the state estimation of linear time-invariant systems using distributed observers with local sampled-data measurement and aperiodic communication. Each observer agent perceives partial information o…
State Estimation