ANALOG-DIGITAL SYSTEMS FOR ADAPTIVE MEASUREMENTS AND PARAMETER-ESTIMATION OF NOISY PROCESSES

The theoretical framework and principles of designing a new class of h ighly effective analog-digital computer-aided measurement systems are presented, The proposed approach enables the designers to determine un iquely the optimal structure, parameters and characteristics of measur ement systems working in the presence of noises and disturbances as we ll as to carry out the comprehensive analysis of their work. The appro ach is based on the new idea of the nonlinear adaptively controlled (s mart) sensor. The algorithms for optimal processing of the measured da ta and estimating unknown parameters of analyzed processes or objects, coupled with the optimal adaptive control of the sensor parameters, a re derived, The superiority of measurement systems with adaptively con trolled sensors over the conventional ones employing nonadaptive senso rs is shown. The main theoretical results and conclusions are verified and confirmed via simulations taking as an example the string-frame a ccelerometer.