Non-Minimum Phase Nonlinear System Predictive Control Based on Local Recurrent Neural Networks

Abstract: After a recursive multi-step-ahead predictor for nonlinear systems based on local recurrent neural networks isintroduced, an intelligent PID controller is adopted to correct the errors including identified model errors and accumulatederrors produced in the recursive process. Characterized by predictive control, this method can achieve a good controlaccuracy and has good robustness. A simulation study shows that this control algorithm is very effective.     

FROM MANUFACTURING SCHEDULING TO SUPPLY CHAIN COORDINATION：THE CONTROL OF COMPLEXITY AND UNCERTAINTY

With time-based competition and rapid technology advancements, effective manufacturingscheduling and supply chain coordination are critical to quickly respond to changing marketconditions. These problems, however, are difficult in view of inherent complexity and variousuncertainties involved. Based on a series of results by the authors, decomposition and coordination byusing Lagrangian relaxation is identified in this paper as an effective way to control complexity anduncertainty.A manufacturing scheduling problem is first formulated within the job shop context withuncertain order arrivals, processing times, due dates, and part priorities as a separable optimizationproblem. A solution methodology that combines Lagrangian relaxation, stochastic dynamicprogramming, and heuristics is developed. Method improvements to effectively solve large problemsare also highlighted. To extend manufacturing scheduling within a factory to coordinate autonomicmembers across chains of suppliers, a decentralized supply chai     

AC=BD在微分方程中的应用

利用AC＝BD的思想，将变系数广义KdV方程约化成常微分方程，求出了KdV方程的Lax对。     

一种评定实验教学质量与学习效果的方法研究

本文分析了实验教学评价的特殊性、复杂性与重要性。介绍了运用权重法评定实验教学效果的基本步骤方法。设计了用权重法评定实验教学质量与学习效果的两例评估计算方法。提出了还可以根据实验教学的实践性特点,用权重法设定专项评价和制作自动评价系统课件的设想。     

Subset threshold autoregression

We develop in this paper an efficient way to select the best subset threshold autoregressive model. The proposed method uses a stochastic search idea. Differing from most conventional approaches, our method does not require us to fix the delay or the threshold parameters in advance. By adopting the Markov chain Monte Carlo techniques, we can identify the best subset model from a very large of number of possible models, and at the same time estimate the unknown parameters. A simulation experiment shows that the method is very effective. In its application to the US unemployment rate, the stochastic search method successfully selects lag one as the time delay and five best models from more than 4000 choices. Copyright © 2003 John Wiley & Sons, Ltd.     

攀枝花市人才发展对策研究

本文通过对攀枝花市人才状况进行调研,针对攀枝花市人才队伍现状以及人才资源管理中存在的问题,结合攀枝花市未来发展规划及实际,提出攀枝花市人才开发的对策。     

浅谈如何做好群众工作

通过回顾党的历史上关于群众工作的一系列决策决定,指出领导干部要进一步提高对做好群众工作重要性的认识;对做好群众工作中领导干部的要求做出阐述。     

网格技术发展现状研究

本文阐述了网格的概念、基础理论、国外一些国家的网格研究计划,并在此基础上对国内的研究工作提出了一些建议。     

经典遗传学为什么崛起于美国?——评美、德的不同社会环境对遗传学的影响

本文对经典遗传学产生的社会和历史渊源作出了社会学的和思想的考察,并加以深入的分析。     

浅析商务英语中的某些翻译误区及其原因

随着我国加入世界贸易组织，商务英语作为对外经济交流的工具，其作用日见重要。本文就商务英语翻译中由于语法理解错误，英语一词多义，专业知识模糊等原因所造成的翻译误区进行归纳分析。