Professor
Institute of Radioengineering Systems and Control
- E-mail:
Degree: Doctor of Sciences
- Personal page in Russian:
- https://sfedu.ru/person/argayduk
- Personal page in English:
- https://sfedu.ru/en/person/argayduk
Anatoly Romanovich Gaiduk
Research interests:
The theory of automatic control in general and its sections: methods of research of stability, invariance, optimality, methods for design of dynamic systems with compensation of external influences; Methods of analytical synthesis of linear, nonlinear and distributed systems of automatic control of technical objects, processes, robots and robotic complexes.
Research projects:
The RFBR grant No. 16-58-00226. (With Belarus) Development of algorithms for adaptive control of robotic mechanisms of parallel structure based on the principles of self-organization of multi-agent systems. Terms 2016-2019 years. Gaiduk A.R. – Executor.
RFBR grant No. 16-58-00226 Bel_a Development of algorithms for adaptive control of robotic mechanisms of a parallel structure based on the principles of self-organization of multi-agent systems of the year 2016-2017. Gaiduk A.R. – Executor.
RFBR grant No. 16-08-00013 A Development of a method for two-loop adaptation of position-trajectory control systems using robust perturbation observers and reference models. Three years 2016-2018. Amount of 800,000.00 Gaiduk A.R. - Executor.
Development of analytical methods for the synthesis of systems with output and impacts control for desired performance indicators and with increased robustness
Teaching:
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Theory of automation control
In the course the features of the description, methods of properties analysis and design methods of linear and nonlinear, continuous and discrete automatic control systems are studed
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Adaptive control systems
In the course the main features of known types of adaptive control systems and methods of their analysis and synthesis are studied.
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Theory and methods of analytical synthesis of multidimensional control systems
In the course the mathematical models and modern methods of analytical design of the multivariable control systems, oriented to the use of computers, are studed