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由于自校正控制器在实际中的广泛运用，其缺点日益明显，主要体现在变阶次、变时延和变参数的系统中，因此研制具有较强的鲁棒性的控制器在实际运用中非常有用。Clark等人提出的广义预测控制自校正控制器是一种基于参数模型的预测控制算法，它采用了时段优化性能指标，结合辨识和自校正机制，从而克服自校正控制中存在的缺点，具有较强的鲁棒性。-self-tuning controller in practice the widespread use of its increasingly obvious short
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Predictive Control was born in the late 1970s in Europe and the United States in the field of industry, which is developed on the control of a computer algorithm, is a model based on the advanced control technology.
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Model-based predictive control: a practical approach此程序为模型预测控制的例程
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基于受控自回归积分滑动平均 (CARIMA)模型控对象的预测控制程序,Points based on the controlled auto-regressive moving average (CARIMA) Model Predictive Control control procedures
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Clark等人提出的广义预测控制自校正控制器是一种基于参数模型的预测控制算法，它采用了时段优化性能指标，结合辨识和自校正机制，从而克服自校正控制中存在的，本代码提供基于丢番图推导的单变量GPC程序-Clark and others proposed self-tuning generalized predictive control is a controller parameter model based predictive control algorithm, it uses time s
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模拟人的思维特点,提出一种新型智能控制器:仿人逻辑预测控制器. 该控制器融合了基于泛布尔代数的逻辑控制器和基于模型的预测控制器的特点, 是一种多值逻辑混合动态系统. Matlab仿真表明, 该控制器在模型匹配时性能良好, 在模型失配时依然能满意运行, 表现出鲁棒性强, 超调量小的特点. 与其它类型人工智能控制器相比, 该控制器结构简单, 物理背景明确, 数学概念清晰, 便于在工业控制领域推广应用.-Simulation of the characteristics of people' s
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预测控制是一种基于模型的先进控制技术，其基本原理是通过采用预测模型来预测系统的未来输出，且实现滚动优化控制，同时不断根据系统的实际输出修正预测的准确性。-Predictive control is a model-based advanced control technology, its basic principle is that through the use of prediction models to predict the system s future output, and
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this program is a model-based predictive control to track a sinusoidal target.
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this program is an m-file of Model-based Predictive Control to track a sinusoidal target in various cases of mismatching and delay.
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This paper presents the simulation of a simple First Order plus Delay Time (FOPDT) process model using
advanced control algorithms. Specifically, these advanced algorithms are the IMC-based PID controller, the Model
Predictive Controller (MPC) an
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模型预测控制—应用方法
Model-based Predictive Control—A Practical Approach-MPC
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模型预测控制算法是以模型为基础，同时包含有预测的原理；另外，作为一种优化控制算法，它还具有最优控制的基本特征。
-Model predictive control algorithm based on model, and contains prediction of the principle, In addition, as a kind of optimal control algorithm, it also has the optimal control of basic char
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关于最小二乘支持向量机的预测控制技术的论文，希望对大家有所帮助-On least squares support vector machine model predictive control technology, the paper, we want to help
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FCCU的模型预测控制是实现程序 基于MATLAB2010a实现，里面的题目才是正确的，前一个的题目不是对应该程序的。-FCCU model predictive control is to achieve the program based on MATLAB2010a to achieve, which is the right topic, a topic not on the front should be procedures.
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BP neural network model predictive control algorithm based on
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一类非线性系统的多模型预测控制,鳗辨识建立多个局部模型．根据每个局部模型分别设计子GPC控制嚣，通过跟踪工况变化对于
控制器加权以获得控制增量．仿真结果表明该方法可取得令人满意的控制效果．
关键词：多模型；非线性系统；模糊聚类；预测控制-multiple model based predictive control for a class of nonlinear systems
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一类非线性系统的多模型预测控制,鳗辨识建立多个局部模型．根据每个局部模型分别设计子GPC控制嚣，通过跟踪工况变化对于
控制器加权以获得控制增量．仿真结果表明该方法可取得令人满意的控制效果．
关键词：多模型；非线性系统；模糊聚类；预测控制-multiple model based predictive control for a class of nonlinear systems
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The doubly fed induction generator (DFIG) is widely
used in wind energy. This paper proposes a model-based predictive
controller for a power control of DFIG. The control law is derived
by optimization of an objective function that considers the
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集成摄动分析和二次规划算法的模型预测控制，约束系统的扰动分析-Perturbation analysis integrated perturbation analysis and quadratic programming algorithm model predictive control, restraint system
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Vector Control of Induction Motor Drives with
Model Based Predictive Current Controller
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