Digital Control Systems: Volume 1: Fundamentals, Deterministic ControlThis well-known book is an introduction to the field of digital, sampled-data control. It treats the field in depth and can be used for courses and for self study. The second edition has been completely revised and expanded with new results. The work now appears in two volumes, with Volume 2 to be published in 1989. The volumes form a unit and take the reader systematically from fundamentals to problems of real applications. The work is directed towards students of electrical and mechanical engineering, computer science (especially with a specialization on automation and control engineering), and other fields like biology, economics, space mathematics and physics. It is also directed to engineers and scientists concerned with solving concrete problems. |
Contents
| 1 | |
Stochastic Control Systems Survey | 8 |
Control with Digital Computers Process Computers | 13 |
Minimum Variance Controllers for Stochastic Disturbances | 14 |
State Controllers for Stochastic Disturbances D Interconnected Control Systems | 15 |
Cascade Control Systems | 16 |
Feedforward Control | 17 |
E Multivariable Control Systems 18 Structures of Multivariable Processes | 18 |
Deterministic Control Systems | 96 |
Parameteroptimized Controllers | 103 |
Deterministic Control Systems Survey | 124 |
General Linear Controllers and Cancellation Controllers | 157 |
General Linear | 159 |
Controllers for Finite Settling Time | 166 |
Deadbeat | 175 |
Adaptive Control Systems Survey | 177 |
Parameteroptimized Multivariable Control Systems | 19 |
Multivariable Matrix Polynomial Systems | 20 |
Multivariable State Control Systems | 21 |
State Variable Estimation | 22 |
F Adaptive Control Systems 23 Adaptive Control Systems A Short Review | 23 |
Online Identification of Dynamic Processes and Stochastic Signals | 24 |
Closedloop Online Identification | 25 |
Parameteradaptive Controllers | 26 |
G Digital Control with Process Computers and Microcomputers 27 The Influence of Amplitude Quantization on Digital Control | 27 |
The Filtering of Disturbances | 28 |
Adaptation of Control Algorithms to Various Actuators | 29 |
Computer Aided Design of Control Algorithms Using Process Identification Methods | 30 |
Adaptive and Selftuning Control Using Microcomputers and Process | 31 |
Computers | 61 |
State Controller and State Observers | 180 |
State Estimation | 206 |
Controllers for Processes with Large Deadtime | 228 |
Controllers | 235 |
Sensitivity and Robustness with Constant Controllers | 242 |
Robust | 262 |
Comparison of Different Controllers for Deterministic Disturbances | 263 |
Comparison | 269 |
Computer Aided Design of Control Algorithms | 290 |
Appendix | 291 |
A4 On the Differentiation of Vectors and Matrices | 301 |
| 321 | |
| 328 | |
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Digital Control Systems: Volume 1: Fundamentals, Deterministic Control Rolf Isermann No preview available - 2012 |
Common terms and phrases
a₁ amplitude approximation asymptotically stable b₁ b₂ Bu(k calculated cancellation controllers characteristic equation closed-loop coefficients command variable continuous signals continuous-time control algorithms control behaviour control loop control performance control variable controllable canonical form controller design controller parameters corresponding deadbeat controller deadtime processes determined difference equation discrete discrete-time function discrete-time signals dynamic element example feedback control feedforward control first-order first-order hold follows frequency G₁(z given Gp(z GR(z Gw(z Hence HG(z initial values input signal integral k₁ Laplace-transform manipulated variable u(0 manipulating effort matrix observer obtained optimal controllers output signal output variable parameter optimization parameter-optimized controllers performance criterion PID-controller poles and zeros predictor controller process computers process model q₁ quadratic reference variable sample sampled signal sampler stability staircase function step change step response T₁ Table transfer function transformation tuning rules unit circle vector x(kTo z-plane z-transform z(m+d z₁ zero-order hold