The Division of Reliability and Quality Problems No 60 (RQP Division, Head of the Division is professor Oleg V. Abramov) includes two laboratories:
No 61 - Control and Reliability of Complex Systems (Head of the laboratory is professor Oleg V. Abramov).
No 62 - State and Reliability Prediction of Engineering Systems (Head of the laboratory is professor Anatoly N. Rozenbaum).
Numerical and qualifying structure:
Laboratory 61 – 10 membership, 6 scientific researchers, including 2 doctors (professors) and 2 candidates of sciences;
Laboratory 62 – 4 membership, 3 scientific researchers, including 1 doctor (professor) and 2 candidates of sciences.
Area of research interests:
• Theoretical approaches and applied techniques for designing analogue engineering devices and systems (electronic units, automatic control systems) with due account of random parameter variations and reliability specifications.
• Reliability-directed parametric synthesis of stochastic systems.
• Techniques for optimally calculating rated values (nominal) of system parameters.
• Prediction of system parameter variations, availability and reliability.
• Preventive condition-based maintenance, optimal in terms of specified reliability and performance quality.
• Computer-aided design of electronic units and control systems with due account parameter variations and reliability specifications.
• The processes identification.
• The process modeling and simulation, synthesis and robust control algorithms.
• Parallel and Distributed Processing Techniques and Application.
Main scientific results
- Basic principles of the operational-parametric approach to reliability-oriented design problem have been formulated. This approach is based on computer-aided simulation of system capability and availability, parameters deviations and techniques of optimal parametric synthesis with respect to reliability criteria. The optimal parametric synthesis task is formulated as an optimization problem with a stochastic criterion.
- Several techniques and algorithms for seeking a numerical solution of the parametric optimization problem with a stochastic (reliability) criterion.
- Methods for the individual prediction of system availability and reliability, which may be used to solve the problem of reliability control and/or optimization when the amount of initial information is incomplete and insignificant.
- Method for choosing an optimal scheduling of condition-based preventive maintenance.
- Computer-aided system for individual forecasting and maintenance scheduling.
- Computer-Aided Reliability-oriented Design System (CARD) is intended for parametric synthesis of analogous electronic circuits with respect to reliability requirements. The system uses a SPICE-like circuit simulation program, that allows simulating a large class of analogous devices in direct current, frequency and time domains. CARD also consists of features for nominal design, design centering, tolerances assignment, etc.
- The adaptive identification methods.
- The modification of process parameters correction methods.
- The development and investigation of the process robust control methods based on construction feasible control domains.
- The multiversion design of control systems.
The basic publications
1. Abramov O.V. Methods and algorithms for parametric synthesis of stochastic systems // Control Sciences, No 4, 2006, pp.3-8. (In Russian).
2. Abramov O.V. Reliability-directed computer-aided design system // Reliability: Theory & Applications, No 1, 2006, pp. 35-40.
3. Abramov O., Katueva Y. and Nazarov D. The definition of acceptability region for parametric synthesis problem // Proceedings of the 6th Asian Control Conference, Bali, Indonesia, 2006, pp. 780-786.
4. Abramov O. and Katueva Y. Application of parallel computing techniques for stochastic optimization problems // Proceedings of the 5th Asian Control Conference, Melbourne 2004, pp. 434-440.
5. Abramov O.V., Katueva Y.V. Multivariate Analysis and stochastic Optimization using parallel Processing Techniques // Control Sciences, No 4, 2003, pp.11-15. (In Russian).
6. Bernatsky F.I., Digo G.B., Digo N.B. Parallel Computations in Control Problems // Control Sciences, No 3, 2003, pp.25-29. (In Russian).
7. Dyda A.A., Markin V.E. Variable-Structure adaptive Control Systems with paired and nonlinearly deformable switching Surfaces // Control Sciences, No 1, 2005, pp.22-25. (In Russian).
8. Katueva Y.V. Parallel Algorithms of Models of parametrical Synthesis for Computer Complex MVS 1000/16 // Mathematical Modeling, V. 16, No 6, 2004, pp.18-22. (In Russian).
9. Rozenbaum A.N., Abramov O.V. Passive Management of Operation of Means of Measurements // Measurement Techniques, No 3, 2004, pp.15-19. (In Russian).
10. Rozenbaum A.N. and Deshner A. I. Algorithms for minimax state prediction of technical systems // International Journal of Reliability, Quality and Safety Engineering, vol. 12, No 4, 2005, pp. 355-363.
11. Torgashov A. Yu. Sequential synthesis of a robust multi-loop PID controller for a reactive distillation column // Control Sciences, No 4, 2006, pp.26-31. (In Russian).