Modern Control Engineering

"Illustrates the analysis, behavior, and design of linear control systems using classical, modern, and advanced control techniques. Covers recent methods in system identification and optimal, digital, adaptive, robust, and fuzzy control, as well as stability, controllability, observability, pole placement, state observers, input-output decoupling, and model matching."

Margot Sunderland, Nicky Armstrong

Introduction to automatic control systems; mathematical background; mathematical models of systems; classical time-domain analysis of control systems; state-space analysis of control systems; stability; the root locus method; frequency domain analysis; classical control design methods; state-space design methods; optimal control; digital control; system identification; adaptive control; robust control; fuzzy control. Appendices: Laplace transform tables; the Z-transform; transform tables.