Introduction to state-space methods covers feedback control; state-space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; and shaping the dynamic response. Additional subjects encompass linear observers; compensator design by the separation principle; linear, quadratic optimum control; random processes; and Kalman filters. Contents Ch. 1: Feedback Control Ch. 2: State-Space Representation of Dynamic Systems Ch. 3: Dynamics of Linear Systems Ch. 4: Frequency-Domain Analysis Ch. 5: Controllability and Observability Ch. 6: Shaping the Dynamic Response Ch. 7: Linear Observers Ch. 8: Compensator Design by the Separation Principle Ch. 9: Linear, Quadratic Optimum Control Ch. 10: Random Processes Ch. 11: Kalman Filters: Optimum Observers