Indetification of controllable objects

Description: The purpose of the discipline is to master the principles of drawing up a mathematical description of control objects based on equations that describe the basic physical processes; familiarization with a systematic approach to the problem of identification; studying various methods and algorithms for identifying linear and nonlinear objects and systems, as well as methods for constructing mathematical models of complex technical systems. The discipline includes the following main sections: general principles of constructing mathematical models of control objects, analytical modeling methods, identification of control objects.

Amount of credits: 5

Пререквизиты:

• System Analysis

Course Workload:

Component: Component by selection

Cycle: Profiling disciplines

Goal

• developing knowledge and practical skills among doctoral students to independently construct mathematical models of control objects, study them on a computer and use them to create process control systems; mastering the principles of modeling complex processes on physical models of these processes; acquiring knowledge in the field of theory of identification and modeling of control objects; acquiring skills in using identification and modeling methods when constructing mathematical models of existing technical systems.

Objective

• familiarization with the main stages of development and paradigm shifts in the evolution of science; about scientific schools of the relevant field of knowledge, their theoretical and practical developments; about scientific concepts of world and Kazakhstani science in the relevant field; directions of development of modern identification theory;
• mastering the ability to independently plan, develop, implement and adjust the complex process of scientific research; analyze and process information from various sources; use ideas, methods, algorithms when solving applied scientific problems;
• acquiring skills in introducing scientific developments into practical activities, conducting independent scientific research, based on modern theories and methods of analysis.

Learning outcome: knowledge and understanding

• use the basic laws of natural sciences in professional activities, apply methods of mathematical analysis and modeling, theoretical and experimental research;
• collect and analyze scientific and technical information, take into account current development trends and use the achievements of domestic and foreign science, technology and technology in professional activities;

Learning outcome: applying knowledge and understanding

• calculate and simulate elements and devices based on various physical principles of operation;
• select and use, based on basic and specialized knowledge, the necessary equipment, tools and technologies to conduct complex practical activities, taking into account economic, environmental, social and other restrictions.

Learning outcome: formation of judgments

• conduct complex scientific research, including searching for the necessary information, experimenting, analyzing and interpreting data using basic and specialized knowledge and modern methods to achieve the required results.

Learning outcome: communicative abilities

• analyze the assigned research tasks in the field of automation and control based on the selection and study of literary, patent and other sources of information;

Learning outcome: learning skills or learning abilities

• demonstrate special competencies associated with the uniqueness of tasks, objects and types of complex engineering activities in the field of specialization (research, production and technological, organizational and managerial, design, etc.) at enterprises and organizations.
• recognize the need for and demonstrate the ability for independent lifelong learning and continuous self-improvement in the engineering profession.

Teaching methods

interactive lecture (use of the following active forms of learning: guided discussion or conversation; moderation; slide show);

information and communication (for example, classes in a computer class using professional application software packages);

search and research (independent research activities of students during the learning process)

Topics of lectures

• Basic concepts, definitions and identification tasks
• Mathematical models of technical systems
• Mathematical models of external influences
• Nonparametric identification
• Parametric identification
• Identification of state variables of control objects
• Identification of state variables of control objects
• Identification of nonlinear systems

Key reading

• Baklanova O.E. Identifikaciya ob"ektov upravleniya: Kurs lekcij dlya doktorantov special'nosti 6D070200 «Avtomatizaciya i upravlenie». – Ust'-Kamenogorsk: VKGTU, 2015. – 107 s.
• Ben'kovich E., Kolesov Yu., Senichenkov Yu. Prakticheskoe modelirovanie dinamicheskih sistem. – SPb.: BHV_Peterburg, 2018.
• braeva L.K., Hisarov B.D. Modelirovanie i identifikaciya ob"ektov upravleniya. Uchebnoe posobie - Almaty: AIES, 2009.
• Semenov A.D., Artamonov D.V., Bryuhachev A.V., Identifikaciya ob"ektov upravleniya: Uchebnoe posobie.-Penza:Izd-vo PGU, 2015.-211s.

Further reading

• Baklanova O.E. Identifikaciya ob"ektov upravleniya: Metodicheskie ukazaniya k laboratornym rabotam dlya doktorantov special'nosti 6D070200 «Avtomatizaciya i upravlenie». – Ust'-Kamenogorsk: VKGTU, 2015. – 67 s.
• Syzdykov D.Zh. Identifikaciya v sistemah upravleniya. – Almaty: Izd-vo «Evero», 2007.
• Dejch A.M. Metody identifikacii dinamicheskih ob"ektov. – M.:Energiya, 1979.
• Cypkin Ya.Z. Osnovy informacionnoj teorii identifikacii. – M.: Nauka, 1984.
• Ejkhoff P. Osnovy identifikacii sistem upravleniya. – M.: Mir,1983
• Grop D. Metody identifikacii sistem upravleniya. – M.:Mir, 1979.
• Sejdzh A., Melsa Dzh. Identifikaciya sistem. – M.:Nauka, 1974.