Registration Number
0214U000289,
0111U002290
, R & D reports
Title
Inverse problems solving methods development for nonlinear systems diagnostic and control based on synergetics and computational intelligence
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Head
Lyubchik Leonid,
Registration Date
05-02-2014
Organization
The Kharkov state polytechnical university
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Object of research - control processes in complex multivariable nonlinear dynamic systems under uncertainty, based on the rejection and compensation of unknown disturbances. The purpose of the project - theoretical framework, mathematical methods and information technologies development for nonlinear dynamic systems inverse models synthesis for solving problems of robust and synergistic control of complex technical systems under uncertainty, namely the correction of dynamic errors and distortion for signal recovery and synergetic synthesis of robust controllers with indirect measurement and compensation of unknown disturbances. Research methods - methods of synergetic theory and robust control, model predictive control method, dynamical observers theory, methods of synthesis of systems with variable structure and sliding mode method, identification methods theory, in particular, support vector machines and kernel methods, methods of computational experiment and computer simulation. Theoretically justified inverse model method, as well as its application for a number of problems of identification and control of complex technical systems under uncertainty. Synergistic properties of inverse dynamic systems are investigated. The mathematical methods and algorithms are developed for nonlinear dynamic systems identification under substantially limited a priori information based on computational intelligence techniques, in particular, kernel methods and support vector machine method. The methods of structural and parametric synthesis and optimization of inverse dynamic models are developed, synthesis of dynamic observers and compensators disturbances on their basis, as well as methods and algorithms for structural synthesis and parametric optimization of robust control systems with dynamic disturbances compensators and observers under the presence of uncertain disturbances and noises. The technique of solving practical problems of robust and synergistic control of nuclear power plants is proposed, control processes simulation and efficiency assessment of the developed algorithms are performed and recommendations for their practical application are developed.
Product Description
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Гардер Сергій Євгенійович
Гомозов Євген Павлович
Дорофєєв Юрій Іванович
Заїка Тетяна Сергіївна
Колбасин Владислав Олександрович
Костюк Ольга Василівна
Краснорудський Юрій Олександрович
Любчик Леонід Михайлович
Любчик Марія Леонідівна
Малько Максим Миколайо
Нікульченко Артем Олександрович
Піротті Євген Леонідович
Солощук Василь Михайлович
Тоніца Олег Володимирович
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2020-04-02
