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RTRL Algorithm Based Adaptive Controller for Non-linear Multivariable Systems

International Journal of Computer Applications
© 2010 by IJCA Journal
Number 5 - Article 17
Year of Publication: 2010
K.C. Sindhu Thampatty
M. P. Nandakumar
Elizabeth P. Cheriyan

Sindhu K C Thampatty, M P Nandakumar and Elizabeth P Cheriyan. Article: RTRL Algorithm Based Adaptive Controller for Non-linear Multivariable Systems. International Journal of Computer Applications 1(5):94–101, February 2010. Published By Foundation of Computer Science. BibTeX

	author = {K.C. Sindhu Thampatty and M. P. Nandakumar and Elizabeth P. Cheriyan},
	title = {Article: RTRL Algorithm Based Adaptive Controller for Non-linear Multivariable Systems},
	journal = {International Journal of Computer Applications},
	year = {2010},
	volume = {1},
	number = {5},
	pages = {94--101},
	month = {February},
	note = {Published By Foundation of Computer Science}


The paper presents a new design of adaptive and dynamic neural network-based controller architecture with feedback connection for non-linear multivariable systems. The network is trained on-line at each sampling interval using the desired output trajectory and the training method used is the Real Time Recurrent Learning Algorithm (RTRL). The recurrent network is a fully connected one, with feedback from output layer to the input layer through a delay element. Since the synaptic weights to the neurons are adjusted on-line, this controller has potential applications in real time control also. Moreover, it can be used for both continuous and discrete systems. The simulation results obtained by applying the algorithm to a non-linear multivariable system demonstrate the effectiveness of the proposed method.


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