Studies on the use of neural networks in nonlinear control strategies
Reactor temperature control is very important as it affects chemical process operations and the product quality. Although PID controller, which is the linear controller and widely used in the chemical process industries, is able to control the temperature, the operating range is limited. Furthermore...
محفوظ في:
المؤلفون الرئيسيون: | Kuttisupakorn, P., Hussain, Mohd Azlan, Petcherdask, J. |
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التنسيق: | مقال |
منشور في: |
Society of Chemical Engineers, Japan
2001
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الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.um.edu.my/7080/ http://www.scopus.com/inward/record.url?eid=2-s2.0-0035302511&partnerID=40&md5=8fcbfc7d7cfa9d12be0f9a7ed2b98ea1 |
الوسوم: |
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مواد مشابهة
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Nonlinear control with linearized models and neural networks
بواسطة: Hussain, Mohd Azlan, وآخرون
منشور في: (1995) -
Adaptive feedback linearizing control with neural-network-based hybrid models for MIMO nonlinear systems
بواسطة: Hussain, Mohd Azlan, وآخرون
منشور في: (2004) -
Temperature control for chemical reactor using adaptive neural network control strategy
بواسطة: Wahab, A.K.A., وآخرون
منشور في: (2000) -
Implementation of neural-network-based inverse-model control strategies on an exothermic reactor
بواسطة: Hussain, Mohd Azlan, وآخرون
منشور في: (2001) -
Adaptive linearizing control with neural-network-based hybrid models
بواسطة: Hussain, Mohd Azlan, وآخرون
منشور في: (2001)