"Introduction to Modern Controls“ uses modern computing tools such as MATLAB and Python to teach modern control systems. You will learn how to use state-space methods to make, study, and control dynamic systems. You will explore topics like state-space models and solutions, stability, controllability, observability, state-feedback control, optimal control, observers, observer state feedback controls, least square estimation, Kalman filter, and Linear Quadratic Gaussian optimal control. You will see how these topics work in both continuous- and discrete-time settings. Substantial example codes, figures, and illustrations on physical systems supplement your learning.

• Book website
• Installing Python
• ME547 Linear Systems, University of Washington¶
• ME233 Advanced Control Systems II, UC Berkeley, Spring 2014¶
• ME233 Advanced Control Systems II, UC Berkeley, Spring 2016¶