{"id":1638,"date":"2024-07-25T18:37:13","date_gmt":"2024-07-25T15:37:13","guid":{"rendered":"https:\/\/www.iem.ihu.gr\/?post_type=course&p=1638"},"modified":"2025-05-28T20:15:18","modified_gmt":"2025-05-28T17:15:18","slug":"65-01","status":"publish","type":"course","link":"https:\/\/www.iem.ihu.gr\/en\/courses\/65-01\/","title":{"rendered":"Control Systems I\u0399"},"author":5,"template":"","meta":{"_acf_changed":false},"semester":[64],"course_type":[59],"class_list":["post-1638","course","type-course","status-publish","hentry","semester--1-2-6","course_type-optional"],"acf":{"code":"65.01","semester":64,"level":"1","teaching_activities":{"activity_1":{"description":"Theory","weekly_hrs":2,"ects":4},"activity_2":{"description":"Exercises","weekly_hrs":1,"ects":""},"activity_3":{"description":"","weekly_hrs":"","ects":""},"activity_4":{"description":"","weekly_hrs":"","ects":""},"activity_5":{"description":"","weekly_hrs":"","ects":""}},"type":59,"language":"\u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ac","erasmus":"\u038c\u03c7\u03b9","url":"https:\/\/exams-sm.the.ihu.gr\/enrol\/index.php?id=114","prerequisites":"","instructors":[1946],"coordinator":"","content":"Multivariable systems, state-space equations, mathematical representation in state space of various physical systems and examples. General solution of state equations, eigenvalues and eigenvectors, stability in the state space, transfer functions\/tables derivation, transformations between different forms. Similarity transformations, canonical forms of state equations and corresponding block diagrams, state space trajectories. Controllability and\r\nobservability, introduction to observers. Exercises and applications in MATLAB.","goals":"The course provides an introduction to the state space systems theory which is the basis for understanding the analysis and design techniques used in the modern theory of automatic control systems. The course focuses on a thorough understanding of the basic of state space concepts so that it is possible to analyse the behaviour of a control system from a mathematical and physical point of view, using the most complete mathematical model of internal state equations. The consolidation of the course material creates the basic background and is a prerequisite for the understanding of related courses that follow in the curriculum, such as Control Systems III, Process Control and Digital Control Systems.\r\nConsistent and successful attendance of the course has as expected result to make the student competent:\r\n- to understand the mathematical representation and analysis of multivariable control systems in the state space;\r\n- analyse stability and time response by solving state equations;\r\n- to attend more specialized courses of modern theory of automatic control systems;\r\n- to recognize and use MATLAB software and its tools with ease.","skills":"Research, analysis and synthesis of data and information using corresponding technologies, decision making, adaptation to new situations, promoting free, creative and inductive thinking, independent work, teamwork.","teaching_methods":"Lectures, Exercises, Online guidance, Projected Presentations, E-mail communication, Online Synchronous and Asynchronous Teaching Platform (moodle).","students_evaluation":"Assessment Language: English \/ Greek\r\nThe final grade of the course is formed by 100% by the grade of the theoretical part.\r\nThe grade of the theoretical part is based on a written final examination.\r\nThe written final examination of the theoretical part may include:\r\nSolving problems of application of the acquired knowledge, Short answer questions etc","bib_textbooks":"Control Systems Engineering , Norman Nise\r\nModern Control Systems, Dorf & Bishop\r\nFeedback Control of Dynamic Systems , Franklin & Powell\r\nModern Control Engineering, Ogata\r\nAnalog and Digital Control System Design: Transfer-Function, State-Space, and Algebraic Methods , C.T. Chen\r\nAutomatic Control Systems, Kuo\r\nDesign of Feedback Control Systems, Stefani, Bahram Shahian, Clement J. 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