Create New Account
Login
Search or Buy Articles
Browse Journals
Browse Proceedings
Submit your Paper
Submission Information
Journal Review
Recommend to Your Library
Call for Papers
HYBRID CONTROL OF CONTINUOUS STIRRED TANK REACTOR
U.S. Banu and G. Uma
References
[1] J. Wang, A.B. Rad, & P.T. Chan, Indirect adaptive fuzzysliding model control; part 1: Fuzzy switching, Fuzzy Sets andSystems, 122, 2001, 21–30.
[2] C.-T. Chen & S.-T. Peng, Intelligent process control usingneural fuzzy techniques, Journal of Process Control, 9, 1999,493–503.
[3] B.W. Bequette, Nonlinear control of chemical process: a review,Industrial & Engineering Chemistry Research, 30, 1991, 1391–1398.
[4] D.E. Seborg, A perspective on advanced strategies for processcontrol, modeling, Identification and Control, 15, 1994, 179–189.
[5] G. Stephanopoulos & C. Han, Intelligent systems in processengineering: a review, Computers & Chemical Engineering,20, 1996, 743–791.
[6] K.J. Hunt, D. Sbarbaro, R. Zbikowski, & P.J. Gawthrop,Neural networks for control systems – a survey. Automatica,28(6), 1992, 1083–1112.
[7] D. Xiaosong, D. Popovic, & G. Schulz-Ekloff, Real timeidentification and control of a continuous stirred tank reactorwith neural network, IEEE Transactions, 1995, 67–70.
[8] K.S. Narendra & K. Parthasarathy, Identification and control ofdynamical systems using neural networks, IEEE Transactionson Neural Networks, 1(1), 4–27.
[9] R. Hecht-Nielsen, Neurocomputing, (NY: Addison Wesley Pub-lishing Company, 1990).
[10] T. Takagi & M. Sugeno, Fuzzy identification of systems and itsapplications to modeling and control, IEEE Transactions onSystem, Man and Cybernetics, SMC-15(1), January/February1985, 116–132.
[11] E.H. Mamdani & P.J. King, The application of fuzzy controlsystems to industrial processes, Automatica, 13, 1997, 235–242.
[12] C. Sheng, J. Jingping, & Y. Huigeneg, The nonlinear adaptivecontrol of CSTR, Information and Control, April 1992, 124–128.
[13] Z. X. Dai & G. Xie. A new optimization search algorithm-GA,The Control Theory & Application, June 1995, 225–272.
[14] W. Zho. Multivariable adaptive control for a space stationusing genetic algorithm, IEE Proceedings – Control Theoryand Applications, 142(2), March 1995, 81–87.
[15] J.C. Hoskins & D.M. Himmelblau, Artificial neural networkmodels of knowledge representation in chemical engineering,Computers & Chemical Engineering, 12(9/10), 1988, 881–890.363
[16] M. Morari & E. Zafiriou, Robust process control (EnglewoodCliffs, USA: Prentice Hall, 1989).
[17] J.M. Zurada, Introduction to artificial neural systems (Mumbai,Jaico Publishing House: 1994).
[18] C. Johnson, Process control instrumentation technology (NewDelhi, Prentice Hall, India: 1999).
[19] G. Stephanopoulas, Chemical process control (New Delhi,Prentice Hall, India: 1995).
Important Links:
Abstract
DOI:
10.2316/Journal.205.2009.4.205-4945
From Journal
(205) International Journal of Modelling and Simulation - 2009
Go Back