预测控制理论 meaning in English
theory of sliding mode control
Examples
- It is very difficult to use accurate mathematical model to describe the variation of quality characteristics during manufacturing process because of the complexity , non - linearity and time - variability of manufacturing system , so it is necessary to develop an intelligent quality control approach which can predict the quality characteristics without accurate mathematical model tracking in the change during manufacturing process
研究了智能控制和预测控制的基本理论，在此基础上提出了智能预测控制理论的概念，建立了基于神经网络的智能预测控制模型。模型的基本特点为：多步预测、滚动优化和反馈校正，并具有学习、记忆和推理的能力。 - Nonlinear model based predictive control ( nmpc ) not only is a valuable approach for solving practical control problems , but also is the frontier of nonlinear control theory . the perceptible successes of mpc strategies can be attributed to several factors including its inherent ability to handle input and output constraints , time delay and incorporation of an explicit model of the plant into the optimization problem . this dissertation discusses two kinds of nonlinearity ( or nonlinear system )
本文沿着理论研究与工程实际相结合的设计思路，较为系统和全面的研究了非线性模型预测控制理论，提出改进新算法；探讨了非线性模型预测控制理论在自主水下航行器控制系统设计中的应用，丰富和发展了模型预测控制理论，本论文的主要工作及意义有以下几个方面： 1 )从工程应用的角度研究有限域无终端约束广义预测控制稳定性充分条件，为有约束广义预测控制稳定性研究奠定了基础。 - In 980s , model predictive control received extensive attention of the western researchers for its distinct merits and features and it has been deeply studied from different aspects with many mathematic methods , in the recent years , with the development of many kinds of the control theory , such as intelligent control , pid control , wavelet theory , robust control , and hybrid systems control etc . , the theory of model predictive control has also obtained rapid development
模型预测控制是一种十分有效的优化控制策略，它弥补了现代控制理论解决复杂对象控制问题时所无法避免的不足之处。近年来随着智能控制、 pid控制、小波理论、鲁棒控制、混杂系统控制等理论研究领域的不断进步，预测控制理论得到了快速的完善和发展。 - The primary works and innovations of this paper include but not limited to : ( 1 ) considering the nonlinear , time - varying and uncertain characteristics of networks , a new active queue management ( aqm ) algorithm , i . e . nnpc - aqm was proposed based on predictive control theory , which requires less model accuracy . in order to realize fast control , a predictor was constructed using two - layer linear neural network to predict the future queue length , and a controller was composed using two layers of nonlinear neural network to optimize the next control volume , i . e . drop probability
本文研究的主要内容及创新点如下： ( 1 )针对网络的非线性、时滞、不确定特点，结合预测控制理论提出一种新型主动队列管理( aqm )策略nnpc - aqm ，该算法基于单值预测控制思想，为了实现快速控制，采用两层神经网络构造预测器，估计未来时刻队列长度；采用两层非线性神经网络组成控制器，实现对下一步丢弃概率的优化。 - Based on the study status of model predictive control and the new requirements from the practiceb industrial processes for the theory of model predictive control , some desiderated problems are studied and discussed in this article , also the corresponding results are given . the main contents are as follows : 1 . for a class of multivariable systems , the tuning of pid controller parameters is discussed in this paper
本文正是根据模型预测控制理论的研究现状，以及实际工业过程控制应用中所面临的对模型预测控制所提出的新要求，主要针对当前模型预测控制理论所面临的若干亟待解决的问题进行了深入的研究和探讨，并最终给出了相应的研究成果。