This course is designed as the second course for control engineering. The first course (Automatic Control) introduces the “classical control” methods employing transfer function techniques, such as root locus, Bode plot, and Nyquist criterion, phase-led and phase-lag control design. In this course, we will introduce the "modern control" methods employing state-space techniques, including state-space realization, state-space solutions, stability, controllability and observability, eigenvalue assignment, and observer design. The second part of the course will introduce the advanced transfer function methods, such as the pole assignment, internal model principle, and model matching (2 DOF) design. In the third part of the course, we will introduce the basic ideas of robust control.