The report contains the results of the investigation of intelligent sensor dynamics. The basis here is the nonlinear controlled processes running in the reaction centers of purple bacteria and in Langmuir-Blodgett films. The quantum processes are taken into consideration, and this report theoretically explains how pollution affects the optical properties of the reaction centers. The transportation of charges is also examined. This paper presents the equation describing transformation of the water pollution data into an electrical signal convenient for processing in the cases when the adaptive Kalman filter or the neural network based on the dynamical elements are used. The report analyzes the robust characteristics of the sensor on the basis of Kalman filter. The water analysis system efficiency can be improved using the dual measurement principle suggesting identification of a biosensor model according to experimental data.
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