2702630
CONTROL IN ROBOTICS AND AUTOMATION: ADVANCED COURSE
,
CONTROL IN ROBOTICS AND AUTOMATION: ADVANCED COURSE
, 3 ov
Lecturer info
Jose LM Lastra
Lectures and exercises:
Lectures: 14 hours. Exercises and Laboratories: 28 hours
Weekly teaching / period |
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Lectures (h): |
- |
- |
2+ |
2 |
- |
Exercises (h): |
- |
- |
4+ |
4 |
- |
Course objectives
The course is an advanced collection of classes that continue the introductory 2702610 course (Control in Robotics and Automation in Electronics Production) and complement the basic 2702600 (System Engineering in Factory Automation) and 2702400 (Industrial Robotics) courses. The target audience may be found among those that are pursuing a M.Sc. degree in Automation Eng. having as Major or Minor "Factory Automation" or "Electronics Production". However, other students from the Automation, Mechanical, Electrical or Computer Science degree programs are welcome to join the course. The level should be found among those who are in their last year of a M.Sc. or first or second year of a Dr.Tech programs.
Content of the course
Part I Robotics This first part of the course will touch cutting edge technologies in the field of control in robotics. The topics will evolve during the different course editions. The first proposed topic is: -Control of Robotics and other Nonlinear Mechanical Systems using Neuronal Networks- Part II Automation The course will cover comprehensively the field of Distributed Intelligent Systems using IEC-61499 (Function Blocks for Industrial Process Measurement and Control Systems)
Requirements
Final examination, laboratory exercises, assignments and an essay.
Literature
Lastra, J.LM. Course Booklet,Lewis, F. L.; Jagannathan, S.; Yesildirek, A. Neural Network Control of Robot Manipulators and Nonlinear Systems,Lewis, R. Modelling distributed control systems using IEC 61499
Prerequisites
Number |
Name |
|
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2702400 |
3 |
Recomm. |
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2702610 |
Control in Robotics and Automation in Electronics Production |
4 |
Recomm. |