Computer-Controlled Systems: Theory and Design, Third Edition
Practically all modern control systems are based upon microprocessors and complex microcontrollers that yield high performance and functionality. This volume focuses on the design of computer-controlled systems, featuring computational tools that can be applied directly and are explained with simple paper-and-pencil calculations. The use of computational tools is balanced by a strong emphasis on control system principles and ideas. Extensive pedagogical aids include worked examples, MATLAB macros, and a solutions manual (see inside for details).
The initial chapter presents a broad outline of computer-controlled systems, followed by a computer-oriented view based on the behavior of the system at sampling instants. An introduction to the design of control systems leads to a process-related view and coverage of methods of translating analog designs to digital control. Concluding chapters explore implementation issues and advanced design methods.
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algorithm analog approximation Assume calculations characteristic polynomial closed-loop poles closed-loop system coefﬁcients command signals computer-controlled systems Consider the system continuous-time system control law control signal control system D-A converter deﬁned deﬁnite delay described Determine difference equation Diophantine equation discrete-time system discussed in Sec double integrator dynamic system eigenvalues error estimate factor feedback feedforward Figure ﬁnd ﬁrst ﬁrst-order ﬂow follows given gives implemented inﬂuence input signal input-output inside the unit introduce Kalman ﬁlter load disturbances loop loss function matrix measurement noise method minimum-variance control modiﬁed Nyquist frequency obtained operator optimal oscillation output parameters pole-placement prediction pulse pulse-transfer function quantization rad/s reachable response Riccati equation sampled system sampling instants sampling interval sampling period shown in Fig simulation solution speciﬁcations spectral density stable state-space steady-state stochastic process Theorem transfer function transform unit disc values variables variance white noise x(kh z-transform zero-order hold