Non-derivative optimization using neural network model based predictive control

Authors:
P. Aadaleesan;K. Ramkumar;S. Nithya;S. M. GiriRajkumar
Affiliations:
School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, Tamil Nadu, India;School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, Tamil Nadu, India;School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, Tamil Nadu, India;School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, Tamil Nadu, India
Venue:
NN'05 Proceedings of the 6th WSEAS international conference on Neural networks
Year:
2005

Citing 4
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Abstract

Model Predictive Control (MPC) is an online open-loop optimal control and is an advanced control strategy widely used in many process industries now a days. This paper focuses on the use of nonderivative optimization in MPC for a LTI system. The algorithm for the development of such a nonderivative optimization algorithm is also given for bound constraints along with the proof for asymptotic stability. The results of this paper are illustrated with a simple example.