| contributor author | Q. Song | |
| contributor author | M. J. Grimble | |
| date accessioned | 2017-05-08T23:52:55Z | |
| date available | 2017-05-08T23:52:55Z | |
| date copyright | September, 1997 | |
| date issued | 1997 | |
| identifier issn | 0022-0434 | |
| identifier other | JDSMAA-26238#565_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/118385 | |
| description abstract | The algorithm for a multivariable controller using neural network is based on a discrete-time fixed controller and the neural network provides a compensation signal to suppress the nonlinearity. The multivariable neural controller is easy to train and applied to an aircraft gas turbine plant. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Design of a Multivariable Neural Controller and Its Application to Gas Turbines | |
| type | Journal Paper | |
| journal volume | 119 | |
| journal issue | 3 | |
| journal title | Journal of Dynamic Systems, Measurement, and Control | |
| identifier doi | 10.1115/1.2801295 | |
| journal fristpage | 565 | |
| journal lastpage | 567 | |
| identifier eissn | 1528-9028 | |
| keywords | Control equipment | |
| keywords | Design | |
| keywords | Gas turbines | |
| keywords | Artificial neural networks | |
| keywords | Industrial plants | |
| keywords | Signals | |
| keywords | Trains | |
| keywords | Aircraft AND Algorithms | |
| tree | Journal of Dynamic Systems, Measurement, and Control:;1997:;volume( 119 ):;issue: 003 | |
| contenttype | Fulltext | |
