Modern Control EngineeringThis comprehensive treatment of the continuous-time control systems provides a gradual development of control theory - and shows how to solve all computational problems with MATLAB. It avoids highly mathematical arguments, and features an abundance of examples and worked problems throughout. This edition reorganizes content to cover all basic materials of control systems in the first ten chapters, leaving advanced topics to the last. It provides detailed explanations on how to write MATLAB programs to solve a variety of problems in control engineering, expands coverage of the design aspects of control engineering with many new design problems; adds an introduction to robust control; and includes many new computational problems - all solved with MATLAB. |
Contents
The Laplace Transform | 13 |
Mathematical Modeling of Dynamic Systems | 57 |
TransientResponse Analysis | 134 |
Copyright | |
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Common terms and phrases
a₁ assume asymptotes asymptotically stable b₁ block diagram Bode diagram characteristic equation characteristic polynomial closed-loop system closed-loop transfer function coefficients command compensated system completely state controllable Consider the system control action control system corner frequency damping ratio determined dominant closed-loop poles eigenvalues example frequency-response G(jw gain crossover frequency gain margin given by Equation Hence initial conditions inverse Laplace transform k₁ lag-lead compensator last equation lead compensator Liapunov linear locus log-magnitude magnitude magnitude condition MATLAB Program maximum overshoot minimal polynomial Note Nyquist plot Nyquist stability criterion obtain open-loop transfer function output P₁ phase angle phase margin PID controller pneumatic polar plot R₁ R₁C₁ rad/sec real axis right-half s plane root loci root-locus plot shown in Figure signal Solution steady-state error system shown T₁ transient response uncompensated unit-ramp response valve variables vector versus x₁ zero