NDLI: Time Varying Back Propagating Algorithm for MIMO Adaptive Inverse Controller

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Time Varying Back Propagating Algorithm for MIMO Adaptive Inverse Controller

Content Provider	Semantic Scholar
Author	Mehedi, Ibrahim
Copyright Year	2017
Abstract	In the field of automatic control system design, adaptive inverse is a powerful control technique. It identifies the system model and controls automatically without having prior knowledge about the dynamics of plant. In this paper neural network based adaptive inverse controller is proposed to control a MIMO system. Multi layer perception and back propagation are combinedly used in this investigation to design the NN learning algorithm. The developed structure represents the ability to identify and control the MIMO system. Mathematical derivation and simulation results for both plant identification and control are shown in this paper. Further, to prove the superiority of the proposed technique, performances are compared with recursive least square (RLS) method for the same MIMO system. RLS based adaptive inverse scheme is discussed in this paper for plant identification and control. Also the obtained simulated results are compared for both plant parameter estimation and tracking trajectory performance. Keywords—Adaptive inverse control; neural network; MIMO; multilayer perception
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://thesai.org/Downloads/Volume8No2/Paper_47-Time_Varying_Back_Propagating_Algorithm.pdf
Language	English
Access Restriction	Open
Subject Keyword	Algorithm Approximation algorithm Artificial neural network Automatic control Backpropagation Biological Neural Networks Control system Controllers Estimation theory Image noise Least-Squares Analysis MIMO Mathematical Concepts Multilayer perceptron Neural Network Simulation Performance Population Parameter Recursion Recursive least squares filter Restless Legs Syndrome Software propagation Systems design
Content Type	Text
Resource Type	Article

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