Conference proceeding
Observability conditions for biased linear time invariant systems
Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207), v 2, pp 1180-1184 vol.2
1998
Abstract
This paper addresses the existence of bias estimators in linear time invariant (LTI) systems. One approach to bias estimation is state augmentation, in which a new state corresponding to each unknown bias term is appended to the state vector. The Kalman filter is then applied to the augmented system and the biases are identified as part of the filtering process. A simplified observability rank test for the existence of bias estimators for a LTI system with unknown, constant state and measurement biases has been recently derived. A reduced row observability test matrix is used to show a necessary and sufficient condition for complete bias observability. This paper investigates the use of additional measurements in the system and their ability to alter the bias observability conditions of the system. Examples are presented.
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Details
- Title
- Observability conditions for biased linear time invariant systems
- Creators
- C Bembenek - Lockheed MartinT.A ChmielewskiP.R KalataAMER AUTOMAT CONTROL COUNCIL
- Publication Details
- Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207), v 2, pp 1180-1184 vol.2
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering; [Retired Faculty]
- Web of Science ID
- WOS:000075568200252
- Scopus ID
- 2-s2.0-4444304347
- Other Identifier
- 991019174597704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Automation & Control Systems
- Computer Science, Interdisciplinary Applications