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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
Search results
Showing 591 to 600 of 1632 (0.044 seconds)Spelling suggestions: "subject:"control theory"" "subject:"coontrol theory""
| 591 |
The development of a model-based fuzzy controllerPostlewaite, Bruce E. January 1991 (has links)
No description available.
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| 592 |
Computer aided analysis for linear repetitive processesSmyth, Kieran John January 1992 (has links)
No description available.
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| 593 |
Gas turbine control using polynomial H#infinity# design techniquesBiss, Diane January 1991 (has links)
No description available.
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| 594 |
On the advanced control of fin roll stabilisers in surface vesselsHickey, Nigel A. January 2000 (has links)
No description available.
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| 595 |
Experiments in learning control using neural networksZhang, Bing January 1991 (has links)
No description available.
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| 596 |
An expert system approach to on-line fault diagnosis in power system networksBurt, Graeme M. January 1992 (has links)
No description available.
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| 597 |
Computer modelling of power system emergency controlHon, T. K. January 1983 (has links)
No description available.
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| 598 |
Predictive control techniques with application to a hot strip finishing millBulut, Baris January 2002 (has links)
No description available.
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| 599 |
Control synthesis for hybrid systemsTrontis, Anastasios January 2003 (has links)
No description available.
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| 600 |
H2-Optimal Sensor LocationTavakoli, Arman January 2014 (has links)
Optimal sensor placement is an important problem with many applications; placing thermostats in rooms, installing pressure sensors in chemical columns or attaching vibration detection devices to structures are just a few of the examples. Frequently, this placement problem is encountered while noise is present. The H_2-optimal control is a strategy designed for systems that have exogenous disturbing inputs. Therefore, one approach for the optimal sensor location problem is to combine it with the H_2-optimal control. In this work the H_2-optimal control is explained and combined with the sensor placement problem to create the H_2-optimal sensor location problem.
The problem is examined for the one-dimensional beam equation and the two-dimensional diffusion equation in an L-shaped region. The optimal sensor location is calculated numerically for both models and multiple scenarios are considered where the location of the disturbance and the actuator are varied. The effect of different model parameters such as the weight of the state and the disturbance are investigated.
The results show that the optimal sensor location tends to be close to the disturbance location.
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