COMPGX02 - Robotic Control Theory and Systems
This database contains 2016-17 versions of the syllabuses. For current versions please see here.
|Taught By||Stephen Hailes (100%)|
The students will gain insight into robotics and autonomous systems control theory and practice, specifically:
Students successfully completing the module should understand:
1. Control systems for robots
2. Control sensitivity and feedback problems
3. Optimization of controllers
Programming with Matlab or Python or C++ and ROS.
- The aim of this course is to provide the basic theory required for solving control problems in robotics and autonomous systems trom a practitioner's point of view.
- The course presents theory and methodology for analysis and modelling of systems and signals, and methods for design and synthesis of feedback controllers. Special emphasis is placed on:
- • Control of systems with multiple inputs and outputs. - Fundamental control perlormance and sensitivity and robustness in feedback systems.
- • Synthesis of controllers through optimization. - Predictive control with constraints.
- In all cases, a theoretical treatment in lectures will be accompanied by corresponding practical exercises in either simulation or reality, in which students can exercise their skills.
Method of Instruction:
The module is delivered through a combination of lectures and lab classes.
The course has the following assessment components: