Computer controlled systems: theory and design
Includes the analysis, design & implementation of digital control systems. Emphasizes the connection between physical processes & the computer's representation of them.
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SAMPLING OF CONTINUOUSTIME SIGNALS
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Adaptive Control algorithm analog analysis approximation Assume calculations Chapter characteristic polynomial circuit closed-loop poles closed-loop system command signal computer-controlled systems Consider the system continuous-time system control law control signal control system corresponding covariance function D-A converter delay described design methods Determine difference equation discrete-time system discussed in Sec double integrator dynamic system eigenvalues error estimate Example factor feedback feedforward Figure follows gives implement input signal input-output inside the unit introduced inverse Kalman filter least-squares linear system loop loss function matrix measured minimum-variance control nonlinear Nyquist frequency obtained open-loop operator optimal output parameters poles possible prediction predictor pulse pulse-transfer function reachable response sampled signal sampled system sampling instants sampling interval sampling period sequence shown in Fig simple simulation solution solved spectral density stable state-space steady-state stochastic process Theorem theory transfer function transform u(kh unit circle unit disc unstable values variance white noise x(kh z-transform zero-order hold