Determining optimal sensor locations for parameter estimation via covariance matrices
نویسنده
چکیده
Online estimation of parameters is significant for control and monitoring of many chemical engineering processes. Accurate estimation of process parameters requires measurements, that ensure observability and a good response of parameter estimates. Therefore, it is highly desirable to place the sensors optimally for estimating process parameters. The problem of sensor placement in chemical processes is aggravated by the fact that most of processes are nonlinear in nature and process disturbances may cause large changes in the parameters.
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