预测控制理论的英文

• theory of sliding mode control

• "预测"英文翻译    calculate; forecast; prognos ...
• "控制理论"英文翻译    control theory
• "预测控制" 英文翻译 :    forecasting control; predictive control
• "控制理论" 英文翻译 :    control theory; cybernetics; theory of controls
• "预测控制系统" 英文翻译 :    predictor-type controller
• "智能预测控制" 英文翻译 :    intelligent predictive control
• "过程控制理论" 英文翻译 :    process control systems
• "经典控制理论" 英文翻译 :    classical control theory
• "经济控制理论" 英文翻译 :    economic control theory
• "控制理论补充" 英文翻译 :    complementary to control theory
• "控制理论基础" 英文翻译 :    elementary theory of control; theory of control
• "库存控制理论" 英文翻译 :    inventory control theory
• "鲁棒控制理论" 英文翻译 :    robust control theory; robustcontroltheory
• "模糊控制理论" 英文翻译 :    fuzzy control theory; power electronic circuit
• "伺服控制理论" 英文翻译 :    theory of servo mechanism
• "随机控制理论" 英文翻译 :    stochastic control theory
• "统计控制理论" 英文翻译 :    statistical control theory; statisticalcontroltheory
• "先进控制理论" 英文翻译 :    advanced control strategy
• "现代控制理论" 英文翻译 :    modern control theory
• "线性控制理论" 英文翻译 :    linear control theory
• "闸门控制理论" 英文翻译 :    gate control theory
• "智能控制理论" 英文翻译 :    theory of identification
• "自动控制理论" 英文翻译 :    automatic control theory; theory of automatic control
• "最佳控制理论" 英文翻译 :    optimal control theory; optimal-control theory; optimum control theory
• "最优控制理论" 英文翻译 :    optimal control theory; optimizing control theory; optimizing control theotry; optimum control theory; theory of optimal control

• Then the theory of model predictive control was further developed by mehra , culter and clark et al
  之后， mehra 、 culter和clark等人进一步发展了模型预测控制理论。
• Based on analysis of coordinating relation between steel and concrete , this paper focuses on study of prediction control theory of structure construction and development of software system
  本文基于钢混协作关系的分析，对钢混结构施工预测控制理论及软件系统进行研究。
• This thesis studies the spacecraft control using nonlinear model predictive control and computer simulations are applied in it . the main results fall into two main areas . 1
  本文运用非线性模型预测控制理论对空间飞行器位置和姿态的控制进行了系统的分析、研究和计算机仿真，在以下两个方面取得显著成效： 1
• The chief aim of the this paper is to establish the mathematical model of the working process of the heat - exchanger unit and to apply generalized predictive control theory to studying the principle ? characteristics and law of gpc system of the heat - exchange unit
  本文研究的目的是建立换热机组工作过程的数学模型，在此基础上，运用广义预测控制理论来研究换热机组的广义预测控制( gpc )系统的原理、特点和规律。
• Based on the existing theoretical results on model predictive control , this thesis is devoted to the development of the framework of robust model predictive control with guaranteed robust feasibility , roboust stability and real - time applicability . to achieve this goal , the relevant theory and approaches , such as linear matrix inequalities ( lmi ) , robust controllable invariant set , robust controllable contractive set and multi - parameter linear programming , are employed in the research work
  本论文在预测控制理论已有研究成果的基础上，利用线性矩阵不等式、鲁棒可控不变集、鲁棒可控收缩集、多参线性规划等相关理论和方法，探索具有可行性、稳定性和一定实时性保证的鲁棒预测控制设计框架。
• 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。