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Apply a state-space approach to modern control system analysis and design

Written by an expert in the field, this concise textbook offers hands-on coverage of modern control system engineering. Modern Control: State-Space Analysis and Design Methods features start-to-finish design projects as well as online snippets of MATLAB code with simulations. The essential mathematics are presented along with fully worked-out examples in gradually increasing degrees of difficulty. Readers will receive "just-in-time" math background from a comprehensive appendix and get step-by-step descriptions of the latest analysis and design techniques.

Coverage includes:

. An introduction to control systems . State-space representations . Pole placement via state feedback . State estimators (observers) . Non-minimal canonical forms . Linearization . Lyapunov stability . Linear quadratic regulators (LQR) . Symmetric root locus (SRL) . Kalman filter . Linear quadratic gaussian control (LQG)