Cover image for Controllers design of the fluid mixing system using surrogate modeling with radial basis function artificial neural network and LQR approach
Title:
Controllers design of the fluid mixing system using surrogate modeling with radial basis function artificial neural network and LQR approach
Publication Information:
2011
Physical Description:
xvi, 72 p. : ill. (some colors). ; 30 cm.
General Note:
Supervisor : Assoc. Prof. Dr. Yahaya Md. Sam
Added Author:
Added Corporate Author:
DSP_DISSERTATION:
Project Paper (Sarjana Muda Kejuruteraan (Elektrik - Kawalan dan Instrumentasi)) - Universiti Teknologi Malaysia, 2011

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FKE30000005427 XX(768483.1) Closed Access Thesis UTM Project Paper (Open Shelves)
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30000010261795 QA76.87 N453 2011 raf Closed Access Thesis UTM Project Paper (Closed Access)
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