[PDF] Semi Physical Modeling and Control of Nonlinear System Using Soft Computing Technique
M Sridevi, PM Sarma, P Veeraragavan - 2015 - irjet.net
ABSTRACT In Chemical industries level control of non linear interacting and non interacting
systems is on huge demand due to multivariable process interactions. In this work a non
linear liquid level process represented by a 40 liter four non interacting spherical tank was ...
Year 2011 : 1 citations
Recurrent neural network for faulty data identification in smart grid
ADJ Raju, SS Manohar - Recent Advancements in Electrical, …, 2011 - ieeexplore.ieee.org
Year 2010 : 4 citations
Neural networks modelling and generalised predictive control for an autonomous underwater vehicle J Xu, M Zhang… Int. J. Modelling, Identification and Control, Vol. 11, Nos. 1/2, 2010 ...
Diagnosis and Prognosis of Bearing Failure in Rotating Machinery Using Acoustic Emission and Artificial 2 Neural Network AK Mahamad, T Hiyama… - 電気学会論文誌 D (産業応用部門誌 …, 2010 - J-STAGE
Page 1. Extended Summary 本文は pp.443–449 Diagnosis and Prognosis of Bearing Failure in
Diagnosis and Prognosis of Bearing Failure in Rotating Machinery Using Acoustic Emission and Artificial Neural Network
AK Mahamad, T Hiyama, MI Ghazali - ??????? D (???????), 2010 - J-STAGE
Prediction of thermal profiles using artificial neural network
CKL Gee, CK Ho… - … and Development in …, 2010 - ieeexplore.ieee.org
Year 2009 : 2 citations
A transmission line fault locator based on Elman recurrent networks
S Ekici, S Yildirim, M Poyraz - Applied soft computing, 2009 - Elsevier
Studies on the application of different ANNs to predict permeate flux in rotating disk membrane modules: A case study with MATLAB™
C Bhattacharjee, D Sen, P Sarkar, S Datta… - … and Water Treatment, 2009 - Taylor & Francis
Year 2008 : 1 citations
Modelling and predictive control of a multivariable process using recurrent neural networks
N Sivakumaran, TK Radhakrishnan - International Journal of …, 2008 - actapress.com
