Recovering input signals of non stationary dynamical systems

Background. The development of hardware and software methods for restoring input signals and increasing their accuracy is an actual problem that occurs in many branches of technology. This work is devoted to the development of methods for reconstructing input signals of non stationary dynamical systems. The methods proposed in the work do not depend on the physical nature of the measured value, which makes it possible to apply in many measurement areas and to build computational algorithms for restoring the input signals of measuring converters made on a different element base. Materials and methods. Methods for restoring input signals are based on numerical algorithms and parametric identification. The proposed ones allow to correct the output signal of dynamic systems, consisting in the hardware or software implementation of the inverse operator to the operator simulating the measuring transducer. Results. The methods of restoring input signals developed in this work allow us to construct algorithms that perform reduction to an ideal instrument. Conclusions. The methods allow the correction of distortions by a computing device, which can be a specialized computing device made in the form of a microcontroller or a PC. Computational algorithms that allow to reconstruct the input signals of continuous systems with high accuracy are considered.