Filtering of Linear Systems With Unknown Inputs
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Published:2003-09-01
Issue:3
Volume:125
Page:482-485
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ISSN:0022-0434
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Container-title:Journal of Dynamic Systems, Measurement, and Control
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language:en
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Short-container-title:
Affiliation:
1. Systems Engineering Department, KFUPM, Dhahran 31261, Saudi Arabia
Abstract
State estimation of linear systems under the influence of both unknown deterministic inputs as well as Gaussian noise is considered. A Kalman like filter is developed which does not require the estimation of the unknown inputs as is customarily practiced. Therefore, the developed filter has reduced computational requirements. Comparative simulation results, under the influence of various types of unknown disturbance inputs, show the merits of the developed filter with respect to a conventional Kalman filter using disturbance estimation. It is found that the developed filter enjoys several practical advantages in terms of accuracy and fast tracking of the system states.
Publisher
ASME International
Subject
Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering
Reference8 articles.
1. Kudva, P., Viswanadham, N., and Ramakrishna, A., 1980, “Observers for Linear Systems with Unknown Inputs,” IEEE Trans. Autom. Control, AC-25, No. 1, pp. 113–115. 2. Guan, Y., and Saif, M., 1991, “A Novel Approach to the design of Unknown Input Observers,” IEEE Trans. Autom. Control, AC-36, No. 5, pp. 632–635. 3. Hou, M., and Muller, P. C., 1992, “Design of Observers for Linear Systems with Unknown Inputs,” IEEE Trans. Autom. Control, AC-37, No. 6, pp. 871–875. 4. Gaddouna, B., Maquin, D., and Ragot, J., 1994, “Fault Detection Observers for Systems with Unknown Inputs,” Safeprocess’94, IFAC/IMACS Symposium on Fault Detection, Supervision and Safety for Technical Processes, Espoo, Finland. 5. Maquin, D., Gaddouna, B., and Ragot, J., 1994, “Estimation of Unknown Inputs in Linear Systems,” Proceedings of the American Control Conference, Baltimore, MD, USA.
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9 articles.
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