中翻英。。。悬赏。。。
发布网友
发布时间：2022-05-29 18:33
共6个回答
热心网友
时间：2023-11-03 18:11
本文首先论述了人工神经网络的发展概况和神经网络的控制理论。在此基础上，融神经网络理论和PID控制技术于一体，深入研究了基于BP算法的神经网络PID控制器和基于RBF算法的神经网络PID控制器。研究了神经PID控制方法，实现了PID参数在线调整，对非线性控制系统进行了仿真研究。介绍了复杂控制规律的S函数构造方法,构造出了基于Simulink的BP神经网络PID控制器的模型,并得到用该模型来控制一非线性对象的仿真结果。该控制器设计避免了在复杂系统仿真时编写大量复杂而烦琐的源程序,使编程快速、简捷,调试方便,使系统仿真工作量大大减少。利用Matlab作为控制系统的开发工具，通过在线的调整神经网络权值，实现了对非线性受控对象的有效控制。
Manpower neural networks development general situation and the neural networks control theory the main body of a book has been discussed first. Melt here on the basis, nerve electrical network theory and PID control technique Yu an integral whole, go deep into the controller having studied owing to algorithmic neural networks of BP PID controller and owing to algorithmic neural networks of RBF PID. The control method having studied nerve PID, has realized online PID parameter adjustment , has been in progress to nonlinear control system simulating studying.Introce that complicated control the law S function structure method, structure has put up the Simulink BP neural networks PID controller-based model, and the emulation result being used that model to come to control one nonlinearity marriage partner. That controller being designed having avoided compiling and composing large amount of complicated but overlaborate source program ring the period of complicated system simulates , being making a programming speedy , simple and direct , being debugging to go to the lavatory, makes simulated amount of work of system deplete. Have made use of Matlab to be navar exploitation implement, by online adjustment neural networks right value , have come true to nonlinearity effective by charging a marriage partner control.
关键词：非线性控制；神经PID控制；神经网络
Keywords: Nonlinearity under the control of; PID controls nerve; Neural networks
这样就可以了。
热心网友
时间：2023-11-03 18:11
This paper discusses the development situation of artificial neural network, and the neural network control theory. On this basis, neural network theory and PID control technology, a deep research of the neural network based on BP algorithm based on PID controller and RBF neural network algorithm of PID controller. Study the PID control method, the PID parameters tuning of nonlinear control system, and the simulation. Introces the complicated control law S function method based on Simulink constructed, the BP neural network model of the PID controller, and with this model to control a nonlinear object simulation results. The controller design avoids complex system in the simulation of complex and complicated writing the source program, rapid, simple, debugging programming convenient, make the system simulation workload is greatly reced. Matlab as control system development tools, through online adjust neural network weights, realize the effective control of nonlinear controlled object.
摘 要
本文首先论述了人工神经网络的发展概况和神经网络的控制理论。在此基础上，融神经网络理论和PID控制技术于一体，深入研究了基于BP算法的神经网络PID控制器和基于RBF算法的神经网络PID控制器。研究了神经PID控制方法，实现了PID参数在线调整，对非线性控制系统进行了仿真研究。介绍了复杂控制规律的S函数构造方法,构造出了基于Simulink的BP神经网络PID控制器的模型,并得到用该模型来控制一非线性对象的仿真结果。该控制器设计避免了在复杂系统仿真时编写大量复杂而烦琐的源程序,使编程快速、简捷,调试方便,使系统仿真工作量大大减少。利用Matlab作为控制系统的开发工具，通过在线的调整神经网络权值，实现了对非线性受控对象的有效控制。
关键词：非线性控制；神经PID控制；神经网络
Keywords: nonlinear control, Nerve PID control, Neural network
热心网友
时间：2023-11-03 18:12
The paper first discusses the development of artificial neural networks and neural networks Overview of Control Theory.On this basis，Financial theory and neural network PID controltechnologies.
In-depth study of the algorithm based on BP neural network PID controller and the algorithm based on RBF neural network PID controller.Research on the neural PID control method.PID parameters to achieve the online adjustment.Of non-linear control system simulation.Complex control law introced the S-function construction method, construction of the Simulink-based BP neural network model PID controller.And use the model to control the object of a non-linear simulation results.The controller design to avoid the simulation of complex systems in a large number of complex and cumbersome to prepare the source.Let programming fast, simple, easy debugging, allowing the system to greatly rece the workload simulation.Control system for the use of Matlab as a development tool.
Through on-line adjustment of neural network weights.Of non-linear realization of the effective control of the controlled object.
热心网友
时间：2023-11-03 18:12
The paper first discusses the development of artificial neural networks and neural networks Overview of Control Theory. On this basis, the financial theory and neural network PID control technologies, in-depth study of the algorithm based on BP neural network PID controller and the algorithm based on RBF neural network PID controller. Research on the neural PID control method, the realization of the PID parameters online adjustment of non-linear control system simulation. Complex control law introced the S-function construction method, construction of the Simulink-based BP neural network PID controller model and the model used to control the object of a non-linear simulation results. The controller design to avoid the simulation of complex systems in a large number of complex and cumbersome to prepare the source code, so programming fast, simple, easy debugging, allowing the system to significantly rece the simulation workload. The use of Matlab as a control system development tools, online adjustment of neural network weights to achieve the non-linear effective control of the controlled object.
Key words: nonlinear control; neural PID control; neural network
热心网友
时间：2023-11-03 18:13
关键词:The nonlinear control . Nerve PID control . Neural network
热心网友
时间：2023-11-03 18:14
Game Theory (Game Theory), is to examine the behavior of the main decision-making occurs when the direct interaction between the decision-making
As well as the balance of this decision-making, that is, when a main choice by others, other enterprises
The impact of choice, and in turn affect the other main decision-making problems and balance issues. Game theory to study
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An important factor in a little in order to overcome the economic model from the actual defects, the conclusion more in line with reality,
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Game analysis to predict the outcome of the game's balance, that is the assumption that each of the participants are rational. 3)
In the electricity market conditions, the rational power grid enterprises and enterprises in the planning, we need each other
Case the cost - benefit analysis, cost-effectiveness analysis as a method of economic analysis in recent years has been
Planning a wide range of workers seriously and made some research, but in the power planning is still in
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