Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Non Linear Dynamic System Identification Using MRAN Algorithm

Author : Parimala Gandhi G 1 Saritha C 2 Sangeetha C 3

Date of Publication :15th June 2017

Abstract: This paper presents a performance analysis of Minimal Resource Allocating Network (MRAN) algorithm for identification of nonlinearity in dynamic systems for nonlinear time invariant and time varying problems.Next, methods for improving the run time performance of MRAN for real time identificationof the nonlinear systems is also used. Extended Minimum Resource Allocating Network (EMRAN) which utilizes a winner neuron strategy is and its performance is also been discussed. The modification in MRAN reduces the computation to considerable reduction in the learning time with only a slight increase in the approximationerror. Using the same problem the results of EMRAN is also analyzed which shows that the later is well suited forfast on-line identification of nonlinear plants such as any type of non-linearity arises in aircraft control structure.

Reference :

  1. [1] Agarwal, M., “A systematic classification of neural-network-based control”, Journal of guidance, control, and dynamics, pp. 75-93, Apr.1997

    [2] Sadhukhan, D. and Feteih,S., “F8 neurocontroller based on dynamic inversion”, IEEE control systems magazines, 19, No.1, pp. 150-156, 1996

    [3] Narendra, K. and Parthasarathy, K., “Identification and control of dynamic systems using neural networks”, IEEE transactions on neural networks, Vol.1, No.1, pp. 4-26, Mar.1990

    [4] Analysis of Minimal Radial Basis Function Network Algorithm for Real-Time Identification of Nonlinear Dynamic Systems by Li Yan, N.Sundararajan and P.Saratchandran [5] Simon J Haykin, Neural Networks,a comprehensive foundation, second editionpearson education prentice hall

    [6] Bharath Y.K., Veena S, Nagalakshmi K.V., ManjunathDarshan, RohiniNagapadma, “Development of Robust VAD Schemes for Voice Operated Switch Application in Aircrafts”,IEEE-ICATccT, pp189- 193,July 2016.

    [7] NagarajRamrao, T.V. Ramamurthy ,”Fault Tolerant Flight Controller With Neural Network Augmentation For A High Performance Fighter Aircraft During Auto-Landing “ACSE Journal, Volume (6), Issue (4), Dec., 2006


Recent Article