基于神经网络状态滤波器的连续搅拌槽式反应器非线性状态估计

2006 Annual IEEE India Conference Pub Date : 2006-09-01 DOI:10.1109/INDCON.2006.302760

K. Srinivasan, J. Prakash

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引用次数: 12

摘要

本文提出了一种系统的方法来设计非线性观测器来估计非线性动态系统的状态向量。作者使用A.G. Parlos等人提出的基于神经网络的状态滤波算法来估计CSTR过程中的状态变量、浓度和温度

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Non-linear State Estimation for Continuous Stirred Tank Reactor using Neural Network State Filter

In this paper, a systematic approach to design a non-linear observer to estimate the state vector of a non-linear dynamic system has been presented. The neural network based state filtering algorithm proposed by A.G. Parlos et al. has been used by the authors to estimate the state variables, concentration and temperature in the CSTR process

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2006 Annual IEEE India Conference

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