Optimal sensors' allocation strategies for a class of stochastic distributed systems
作者:
S. E. AIDAROUS,
M. R. GEVERS,
M. J. INSTALLÉ,
期刊:
International Journal of Control
(Taylor Available online 1975)
卷期:
Volume 22,
issue 2
页码: 197-213
ISSN:0020-7179
年代: 1975
DOI:10.1080/00207177508922076
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The minimum-variance state-estimator for a class of linear distributed parameter systems, with both process and measurement disturbances, is derived. A new algorithm is presented for the optimal simultaneous spatial allocation of sensors. The algorithm minimizes recursively the spatial integral of the covariancc matrix of the error in the state estimates. For time-invariant systems the algorithm leads to the minimization of the spatial integral of the steady-state error covariance matrix. The influence of the system disturbances and measurement noise on these locations is discussed. An illustrative example is given to demonstrate the numerical performance of the algorithm
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