1. To introduce the recent development in control theories and the Internet of Things (IoT);
2. 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;
3. To analyse and solve practical problems with the learned theories and technologies in IoT control;
4. To develop strong self-learning, analytical, and problem-solving skills.
A. Be familiar with typical field bus control systems, e.g., Ethernet/IP, ControlNet, LonWorks, and Controller Area Network (CAN).
B. Understand 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. Understand concepts on network control and its analysis, design and simulation.
Students will be expected to attend two-hour formal lectures as well as to participate in supervised two-hour computer labs in a typical week. 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.