Module Catalogues

Control Technology of IoT

Module Title Control Technology of IoT
Module Level Level 2
Module Credits 5.00

Aims and Fit of Module

The module aims to introduce the recent development in control theories and the Internet of Things (IoT), and analyses and solves practical problems with the learned theories and technologies in IoT control. It enables students to understand the use of common control technologies in IoT in various representative applications, in particular, smart grid, intelligent transportation, intelligent agriculture, and intelligent healthcare, whilst developing strong self-learning, analytical, and problem-solving skills

Learning outcomes

A. show familiarity with typical field bus control systems, e.g., Ethernet/IP, ControlNet, LonWorks, and Controller Area Network (CAN).
B. demonstrate understanding of the control theories and methods, e.g., mathematical modelling for control systems, PID controller, time-domain interpretation, and frequency-domain interpretation.
C. design the PID controllers for linear continuous time systems and linear discrete time systems.
D. demonstrate understanding of concepts on network control and its analysis, design and simulation.

Method of teaching and learning

The teaching philosophy of the module follows very much the philosophy of Syntegrative Education. This has meant that the teaching delivery pattern, which follows more intensive block teaching, allows more meaningful contribution from industry partners. This philosophy is carried through also in terms of assessment, with reduction on the use of exams and increase in coursework, especially problem-based assessments that are project focused. The delivery pattern provides space in the semester for students to concentrate on completing the assessments.
This module will be delivered by a combination of lectures, seminars and labs. Lectures will introduce students to the academic content and practical skills, while computer labs will allow students to practice those practical skills. In addition, students will be expected to devote approximately six hours of unsupervised time per week to solve continuous assessment tasks and private study. Private study will provide time for reflection and consideration of lecture materials and background reading. Continuous assessment will be used to test to what extent practical skills have been learned.