Information Package

Program of Artificial Intelligence Engineering (English)

AI331

ROBOT DYNAMICS AND CONTROL

Course Code
AI331
Semester
Fifth Term (Fall)
Theory+Practice
3 + 1
ECTS
5
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study3
SemesterFifth Term (Fall)
ECTS5
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

Mode of Delivery
PrerequisitesYes(AI216)
Recommended Optional Programme Components
Course DescriptionRigid body dynamics, Euler-Lagrange formulation, trajectory generation, force and impedance control. Review of transformations. Linear vector spaces. Linear operators. Eigenvector analysis, Jordan form. Singular Value Decomposition. Linear systems; input-output and state variables, time-invariant and time varying systems. Discrete-time systems. Analysis of linear systems; controllability, observability, Kalman decomposition, BIBO stability, asymptotic stability, Lyapunov stability.
Course Contents
Recommended or Required Reading* Spong, M. W., Hutchinson, S., & Vidyasagar, M. "Robot Modeling and Control", Wiley.
* Siciliano, B., & Khatib, O. "Springer Handbook of Robotics".
* Frank C. Park & Kevin M. Lynch, "Modern Robotics: Mechanics, Planning, and Control", Cambridge University Press.
* Modern Control Engineering, Katsuhiko OGATA, Prentice Hall.
* Modern Control Systems. 9th Ed., Richard C. Dorf, Robert H. Bishop, Prentice Hall
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Language of Instruction-
Work Placement(s)No