Acquisition of static and dynamic parameters of biological process from experimental data
2006
Mozga, I. | Stalidzans, E.
Methodology for static and dynamic parameter acquisition from experimental dynamic data is developed in case of homeostatic biological process with unknown functional relationships between input and output parameters. Methodology includes assessment of static characteristic curve (including correlation analysis), transition function, reaction delay and maximal speed of output parameter change. Methodology (except assessment of transition function) is demonstrated on example of temperature dynamics measurements of wintering bee colony as a biological object that controls microclimate in their nest. Outside air temperature was analysed as input signal and temperature above the bee nest was analysed as output parameter. Results can be used developing a control system for biological process or object.
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