Search Results for author: Julian D. Schiller

Found 9 papers, 0 papers with code

Moving horizon estimation for nonlinear systems with time-varying parameters

no code implementations15 Apr 2024 Julian D. Schiller, Matthias A. Müller

We consider the case where observability of the parameters depends on the excitation of the system and may be absent during operation, with the parameter dynamics fulfilling a weak incremental bounded-energy bounded-state property to ensure boundedness of the estimation error (with respect to the disturbance energy).

valid

Nonlinear moving horizon estimation for robust state and parameter estimation

no code implementations20 Dec 2023 Julian D. Schiller, Matthias A. Müller

We propose a moving horizon estimation scheme to estimate the states and the unknown constant parameters of general nonlinear uncertain discrete time systems.

Robust stability of moving horizon estimation for continuous-time systems

no code implementations11 May 2023 Julian D. Schiller, Matthias A. Müller

We consider a moving horizon estimation (MHE) scheme involving a discounted least squares objective for general nonlinear continuous-time systems.

On an integral variant of incremental input/output-to-state stability and its use as a notion of nonlinear detectability

no code implementations9 May 2023 Julian D. Schiller, Matthias A. Müller

We propose a time-discounted integral variant of incremental input/output-to-state stability (i-iIOSS) together with an equivalent Lyapunov function characterization.

A moving horizon state and parameter estimation scheme with guaranteed robust convergence

no code implementations16 Nov 2022 Julian D. Schiller, Matthias A. Müller

We propose a moving horizon estimation scheme for joint state and parameter estimation for nonlinear uncertain discrete-time systems.

A simple suboptimal moving horizon estimation scheme with guaranteed robust stability

no code implementations30 Mar 2022 Julian D. Schiller, Boyang Wu, Matthias A. Müller

We propose a suboptimal moving horizon estimation (MHE) scheme for a general class of nonlinear systems.

valid

A Lyapunov function for robust stability of moving horizon estimation

no code implementations25 Feb 2022 Julian D. Schiller, Simon Muntwiler, Johannes Köhler, Melanie N. Zeilinger, Matthias A. Müller

We provide a novel robust stability analysis for moving horizon estimation (MHE) using a Lyapunov function.

Suboptimal nonlinear moving horizon estimation

no code implementations31 Aug 2021 Julian D. Schiller, Matthias A. Müller

In this paper, we propose a suboptimal moving horizon estimator for a general class of nonlinear systems.

Model Predictive Control

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