This course will teach fundamentals of control design and analysis using state-space methods. This course develops the fundamentals of feedback control using linear transfer function system models. Course Description. Basic principles of feedback and its use as a tool for altering the dynamics of systems and managing uncertainty. By the end of the course, you should be able to design controllers using state-space methods and evaluate whether these controllers are robust to some types of modeling errors and nonlinearities. Lectures are delivered by faculty who describe their real world experience with control system design and share their analysis from a variety of fields. An introduction to feedback and control in physical, biological, engineering, and information sciences. Course Description. Learn the process of analyzing and designing feedback control systems starting from a physical model of a system which will focus on everyday applications. Topics covered include analysis in time and frequency domains; design in the s-plane (root locus) and in the frequency domain (loop shaping); describing functions for stability of certain non-linear systems; extension to state variable systems and multivariable control … This includes both the practical and theoretical aspects of the topic. Students should expect to use MATLAB throughout the course.