Doping process control in silicon epitaxy (III). Realization of optimum control function

1985 ◽  
Vol 20 (7) ◽  
pp. 943-949
Author(s):  
F. Richter ◽  
G. Kósza ◽  
R. Sperling ◽  
P. Valkó
Keyword(s):  
Process Control ◽  
Control Function ◽  
Optimum Control ◽  
Silicon Epitaxy

Doping process control in silicon epitaxy (II). Calculation of optimum control

1983 ◽  
Vol 18 (12) ◽  
pp. 1541-1545 ◽  
Author(s):  
P. Valkó ◽  
G. Kósza ◽  
F. Richter
Keyword(s):  
Process Control ◽  
Optimum Control ◽  
Silicon Epitaxy

Process control of lateral autodoping in silicon epitaxy by measuring the sheet resistance

1988 ◽  
Vol 23 (10-11) ◽  
pp. 1323-1330 ◽  
Author(s):  
H. Kühne ◽  
R. Barth ◽  
W. Malze ◽  
H. Königsdörfer
Keyword(s):  
Process Control ◽  
Sheet Resistance ◽  
Silicon Epitaxy

Optimum Nonlinear Control for Step and Pulse Disturbances

1965 ◽  
Vol 87 (1) ◽  
pp. 95-102 ◽  
Author(s):  
R. Oldenburger ◽  
R. C. C. Chang
Keyword(s):  
Control Function ◽  
Response Duration ◽  
Maximum Error ◽  
Rate Of Change ◽  
Pulse Load ◽  
Optimum Control ◽  
Controlled System ◽  
System Error ◽  
Pulse Disturbance ◽  
Advance Information

This paper treats the responses of a controlled system to step and pulse disturbances where the rate of change of the controlling variable is bounded. Optimum transients in the sense of minimizing the maximum error, response duration, and other variables are derived for step and pulse disturbances whose parameters, i.e., magnitude, sense of change, instant of occurrence and pulse duration, are either completely known in advance, or known at the instant the disturbance starts, or not known in advance at all. It is shown that the more that is known about the disturbance beforehand, the better the response that can be obtained. The improvement may be very great. The optimum control function for a pulse disturbance known at the initiation of the pulse contains disturbance parameters. A practical control function can be derived by eliminating these parameters so that no advance information about the disturbance is required. The resulting control function will yield optimum transients and will depend entirely on the system error and its derivatives. This practical control function yields improved response over classical theory to a train of pulse-load disturbances.

A Neuro-Mimetic Dynamic Scheduling Algorithm for Control: Analysis and Applications

1997 ◽  
Vol 9 (3) ◽  
pp. 479-502 ◽  
Author(s):  
Harpreet S. Kwatra ◽  
Francis J. Doyle ◽  
Ilya A. Rybak ◽  
James S. Schwaber
Keyword(s):  
Process Control ◽  
Dynamic Scheduling ◽  
Control Structure ◽  
Control Function ◽  
Nonlinear Process ◽  
Baroreceptor Reflex ◽  
Control Analysis ◽  
Continuous Stirred Tank Reactor ◽  
Level Control ◽  
Nonlinear Process Control

A simple neuronal network model of the baroreceptor reflex is analyzed. From a control perspective, the analysis suggests a dynamic scheduled control mechanism by which the baroreflex may perform regulation of the blood pressure. The main objectives of this work are to investigate the static and dynamic response characteristics of the single neurons and the network, to analyze the neuromimetic dynamic scheduled control function of the model, and to apply the algorithm to nonlinear process control problems. The dynamic scheduling activity of the network is exploited in two control architectures. Control structure I is drawn directly from the present model of the baroreceptor reflex. An application of this structure for level control in a conical tank is described. Control structure II employs an explicit set point to determine the feedback error. The performance of this control structure is illustrated on a nonlinear continuous stirred tank reactor with van de Vusse kinetics. The two case studies validate the dynamic scheduled control approach for nonlinear process control applications.

The Use of a Digital Computer for On-Line Control of a Jet Engine

1967 ◽  
Vol 71 (676) ◽  
pp. 252-256
Author(s):  
E. S. Eccles
Keyword(s):  
Control System ◽  
Process Control ◽  
Control Systems ◽  
Digital Computer ◽  
Digital Control ◽  
Control Function ◽  
Computer Control ◽  
Jet Engines ◽  
Digital Control Systems ◽  
Potential Applications

SummarySome of the unusual factors influencing the choice of digital computer control systems for jet engines are discussed first. The conditions differ in various practical respects from conventional process control applications. Having several identical plants in a typical aircraft and the need for flexibility to keep pace with engine development are of particular importance. Approaching digital control with the traditional process control background may be restrictive in selecting potential applications for the technique.Techniques which can be used with computers to simplify and speed up three aspects of the realisation of a practical system are described briefly. The first of these is the measurement of the actual plant characteristics needed in the analysis of the control system requirements. The second is a method of obtaining good response in the synthesis of a non-linear control function. The third is a technique for programme writing and for simulation used in the verification of the control system behaviour.The techniques described are not in themselves necessarily confined to use with digital control systems and should have value in general use.

scholarly journals LED Driver Design with Power Optimum Control Function

2011 ◽  
Vol 60 (4) ◽  
pp. 253-256
Author(s):  
Seung-Woo Lee ◽  
Hong-Gyu Shin ◽  
Seong-Ik Cho
Keyword(s):  
Control Function ◽  
Optimum Control ◽  
Led Driver

Doping process control in silicon epitaxy (I). System identification

1983 ◽  
Vol 18 (12) ◽  
pp. 1533-1540 ◽  
Author(s):  
G. Kósza ◽  
T. Morgenstern ◽  
F. Richter ◽  
P. Valkó
Keyword(s):  
System Identification ◽  
Process Control ◽  
Silicon Epitaxy
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