Digital Control Systems: Volume 2: Stochastic Control, Multivariable Control, Adaptive Control, Applications

✍ Scribed by Professor Dr.-Ing. Rolf Isermann (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 1991
• Tongue: English
• Leaves: 340
• Edition: 2
• Category: Library

✦ Synopsis

The great advances made in large-scale integration of semiconductors and the resulting cost-effective digital processors and data storage devices determine the present development of automation. The application of digital techniques to process automation started in about 1960, when the first process computer was installed. From about 1970 process computers with cathodic ray tube display have become standard equipment for larger automation systems. Until about 1980 the annual increase of process computers was about 20 to 30%. The cost of hardware has already then shown a tendency to decrease, whereas the relative cost of user software has tended to increase. Because of the high total cost the first phase of digital process automation is characterized by the centralization of many functions in a single (though sometimes in several) process computer. Application was mainly restricted to medium and large processes. Because of the far-reaching consequences of a breakdown in the central computer parallel standby computers or parallel back-up systems had to be provided. This meant a substantial increase in cost. The tendency to overload the capacity and software problems caused further difficulties. In 1971 the first microprocessors were marketed which, together with large-scale integrated semiconductor memory units and input/output modules, can be assem­ bled into cost-effective microcomputers. These microcomputers differ from process computers in fewer but higher integrated modules and in the adaptability of their hardware and software to specialized, less comprehensive tasks.

✦ Table of Contents

Front Matter....Pages i-xxi
Front Matter....Pages 1-1
Stochastic Control Systems (Introduction)....Pages 3-9
Parameter-optimized Controllers for Stochastic Disturbances....Pages 10-12
Minimum Variance Controllers for Stochastic Disturbances....Pages 13-36
State Controllers for Stochastic Disturbances....Pages 37-46
Front Matter....Pages 47-48
Cascade Control Systems....Pages 49-55
Feedforward Control....Pages 56-67
Front Matter....Pages 69-69
Structures of Multivariable Processes....Pages 71-88
Parameter-optimized Multivariable Control Systems....Pages 89-104
Multivariable Matrix Polynomial Control Systems....Pages 105-108
Multivariable State Control Systems....Pages 109-115
State Estimation....Pages 116-124
Front Matter....Pages 125-125
Adaptive Control Systems (A Short Review)....Pages 127-140
On-line Identification of Dynamical Processes and Stochastic Signals....Pages 141-157
On-line Identification in Closed Loop....Pages 158-169
Parameter-adaptive Controllers....Pages 170-224
Front Matter....Pages 225-226
The Influence of Amplitude Quantization on Digital Control....Pages 227-239
Filtering of Disturbances....Pages 240-253
Combining Control Algorithms and Actuators....Pages 254-265
Computer-aided Control Algorithm Design....Pages 266-291
Adaptive and Seiftuning Control Systems Using Microcomputers and Process Computers....Pages 292-308
Back Matter....Pages 309-325

✦ Subjects

Control, Robotics, Mechatronics; Appl.Mathematics/Computational Methods of Engineering; Computer Hardware