Construction of models and control systems for the complex dynamic systems based on the expert assessments and experimental data

The paper considers a problem of forecasting and processing the biomechanical signals from the lower limb prosthetic structures to create a corporate control system for their electronic knee modules. The problem of classical approach within the control theory framework is reduced to the missing motion equation and with the hypotheses on its type at the stochastic nature of its assessment. At the same time, biomechanics as a discipline contains a large array of data, hypothesis and simplified models that make it possible to describe the gait process. The paper proposes an approach based on the Markov mechanics allowing construction of a model of the angles in the knee and hip joints dynamics in human gait based on the several data sources.
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