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.
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