Journal ArticleDOI
Identification/Observation Using an Extended Luenberger Observer
Michael G. Price,Gerald Cook +1 more
TLDR
In this article, an extended Luenberger observer is used to provide both state reconstruction and parameter identification, and conditions for convergence are established for the observability of the augmented system.Abstract:
This paper introduces a theory of parameter identification using an extended Luenberger observer. State augmentation is used to represent the unknown parameters, and an extended observer/ identifier is utilized to provide both state reconstruction and parameter identification. Conditions for convergence are established, and conditions are defined for the observability of the augmented system.read more
Citations
More filters
Journal ArticleDOI
Control of metro-trains equipped with onboard supercapacitors for energy saving and reduction of power peak demand
TL;DR: In this article, a control strategy for aboard supercapacitors integrated with motor drive control is proposed to reduce the voltage surge at the overhead contact line during train braking in rapid transit trains.
Proceedings ArticleDOI
Sliding Mode Observation of Capacitor Voltage in Multilevel Power Converters
TL;DR: In this article, a sliding mode observer is designed and applied to a two-port multi-cellular power converter topology in order to observe the DC-link capacitor voltages.
Journal ArticleDOI
Energy management and control system of DC-DC converter with super-capacitor and battery for recovering of train kinetic energy
TL;DR: In this paper, a DC-DC converter is proposed for train kinetic energy recovery in the braking mode and grid demand reduction in the acceleration mode by using a battery and a supercapacitor.
Dissertation
Set-membership state estimation and application on fault detection
TL;DR: In the presence of unknown-but-bounded parameters and measurement statistical errors, the estimation approach in the form of the iIKF provides guaranteed estimates, while maintaining a computational burden comparable to that of classic statistical approaches.
Journal ArticleDOI
Online parameter identification without Ricatti-type equations in a class of time-dependent partial differential equations: an extended state approach with potential to partial observations
TL;DR: In this paper, an extended state approach to online parameter identification in a class of possibly nonlinear PDEs was proposed, which avoids Ricatti-type equations but still has the potential to allow for partial state observations.
References
More filters
Journal ArticleDOI
An introduction to observers
TL;DR: In this paper, the identity observer, a reduced-order observer, linear functional observers, stability properties, and dual observers are discussed, along with the special topics of identity observer and reduced order observer.
Journal ArticleDOI
Observers for multivariable systems
TL;DR: In this article, it was shown that the design of an observer for a system with M outputs can be reduced to the design for m separate observers for single-output subsystems.
Journal ArticleDOI
Adaptive observers with exponential rate of convergence
TL;DR: In this article, the problem of observing the state of an unknown, time invariant linear system from measurements of its input and output is considered, and the approach taken here proceeds from a parametrized observer, which is only an alternative, equivalent representation of the Luenberger observer.
Journal ArticleDOI
Accomodation of external disturbances in linear regulator and servomechanism problems
TL;DR: In this paper, the authors modify existing linear regulator and servomechanism theories to take into account the presence of persistent fluctuating disturbances and systematically exploit any useful effects that may be present in the action of external disturbances.
Journal ArticleDOI
An adaptive observer and identifier for a linear system
G. Luders,K. Narendra +1 more
TL;DR: An adaptive scheme is devised which observes the state and simultaneously identifies all the parameters of a single-input single-output n th-order linear system, thus ensuring the convergence of the identification process.