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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)