Modern Control Systems
Written to be equally useful for all engineering disciplines, this book is organized around the concept of control systems theory as it has been developed in the frequency and time domains. It provides coverage of classical control employing root locus design, frequency and response design using Bode and Nyquist plots. It also covers modern control methods based on state variable models including pole placement design techniques with full-state feedback controllers and full-state observers.The book covers several important topics including robust control systems and system sensitivity, state variable models, controllability and observability, computer control systems, internal model control, robust PID controllers, and computer-aided design and analysis.For all types of engineers who are interested in a solid introduction to control systems.
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Mathematical Models of Systems
State Variable Models
13 other sections not shown
actual aircraft amplifier angle approximation bandwidth block diagram model Bode diagram Bode plot characteristic equation closed-loop system closed-loop transfer function compensator control design criterion damping ratio DC motor Design Example desired Determine differential equation disk drive dominant roots equal feedback control system frequency response gain margin Gc(s Gp(s Laplace transform linear loop transfer function m-file script magnitude MathScript matrix measure Nichols chart Nyquist Nyquist plot obtain open-loop output parameters percent overshoot phase margin PID controller poles and zeros polynomial position rad/s ramp input robot root locus root locus method s-plane second-order system sensitivity sensor settling shown in Figure signal-flow graph stability steady-state error step response system in Figure system is shown system is stable Td(s tion torque tracking error transient response unit step input unity feedback system variable vector vehicle velocity voltage zero-order hold