The aim of this course is to introduce the fundamental concepts, principles, design, and applications of control systems and their integration with information processing techniques. The course begins with a review of linear time-invariant systems modeling. State space analysis and design will then be covered, mainly for continuous-time systems and briefly for discrete-time systems and digital signal processing basics. Stability analysis and related feedback control design tools will also be discussed. Advanced topics such as nonlinear system control, adaptive control, or optimal control will be briefly introduced.

The content is mathematically oriented, with illustrative examples from general engineering systems and real-time information processing applications. A solid understanding of undergraduate-level calculus, differential equations, and linear algebra is required.

For a student to pass the course, at least 30% of the maximum mark for both coursework and examination should be obtained.