Suitable for a semester course and ideal for a two-semester course This state-of-the-art text illustrates the analysis, behavior, and design of linear control systems using classical, modern, and advanced control techniques-covering 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. Detailing the analysis of linear time-invariant systems using differential equations, transfer function, impulse response, and state-space equations, Modern Control Engineering presents an overview of classical control engineering Nyquist, Bode, and Nichols diagrams, and root locus, compensators, and three term controllers modern and advanced engineering techniques for improved performance of control systems system identification discrete-time adaptive control using the gradient method, model reference adaptive control, and self-tuning regulators robust stability and Kharitonov's theorem With nearly 3000 helpful equations, Modern Control Engineering is a valuable text for upper-level undergraduate and graduate students taking courses in control engineering design and applications.