Neural network control for nonlinear industrial processes and discrete systems

M. Chawla, C. M. Pauddar, N. Somani, B. Sarkar
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Abstract

This paper presents a neural network controller For controlling nonlinear industrial processes and nonlinear discrete time varying delay systems. The paper considers the control of a 3/spl times/3 nonlinear dynamical system which exhibits different but constant delays in inputs. Another feature of this paper is that it is intended to provide control for a very general class of unknown discrete nonlinear processes. Extensive analysis is used in development of various parts of the control scheme, that is also verified by the simulation result of a nominal nonlinear process. The different nonlinearities are considered along with their modelling in this paper.<>
非线性工业过程和离散系统的神经网络控制
本文提出了一种用于控制非线性工业过程和非线性离散时变时滞系统的神经网络控制器。本文研究了一个3/ sp1倍/3非线性动力系统的控制问题,该系统的输入具有不同但恒定的时滞。本文的另一个特点是,它旨在为一类非常一般的未知离散非线性过程提供控制。对控制方案的各个部分进行了广泛的分析,并通过一个标称非线性过程的仿真结果进行了验证。本文考虑了不同的非线性问题,并对其进行了建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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