Description: Easily editable files to simulate three MIMO predictive control algorithms.
These files are intended as a support to this book to enable students to investigate predictive control algorithms from the formulation of the
prediction equations right through to the closed-loop simulation. -Easily editable files to simulate three MIMO predictive control algorithms.These files are intended as a support to this book to enable students to investigate predictive control algorithms from the formulation of the prediction equations right through to the closed-loop simulation. Platform: |
Size: 25600 |
Author:阳关 |
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Description: 本人写的预测控制仿真小程序，文件包括改变步长预测和进行辨识。-I wrote a small simulation prediction control procedures, documentation, including change in step size prediction and identification. Platform: |
Size: 1024 |
Author:li |
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Description: 预测控制方面的书籍,写的还不错,对想学预测控制的是不错的教材-Prediction control of books, written well, and want to learn predictive control is a good teaching Platform: |
Size: 969728 |
Author:徐品 |
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Description: 在实验的基础上确定了温箱系统温度的数学模型, 用P ID 控制方法对温箱温度控制, 由于
P ID 控制不能同时满足较小的超调量和较短的调节时间的要求, 为此必须采用其它先进的控制策
略, 选择预测控制获得较满意的结果. 并用MA TLAB 对设计的P ID 控制和预测控制分别进行了仿真和比较, 结果表明预测控制在本系统中比P ID 控制更理想.-In the experiment based on a warm box system temperature of the mathematical model, using P ID control box temperature control of temperature, because of P ID control at the same time should not meet the smaller overshoot and shorter settling time requirements, for which must use other advanced control strategies, prediction control to choose a more satisfactory results. and MA TLAB design of P ID control and predictive control, respectively, and compare simulation results show that the predictive control in this system than the P ID control better . Platform: |
Size: 276480 |
Author:hongwei |
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Description: MATLAB预测控制程序实例，有建立模型，然后进行控制仿真-MATLAB examples of prediction control procedures, has established model, and then proceed to control simulation Platform: |
Size: 1024 |
Author:肖家栋 |
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Description: 本书涉及的研究方法主要应用于油田生产的实际工作中，包括一般储层参数预测、薄互油藏参数预测、火山岩储层参数预测和储层随机模拟等问题，同时还涉及了石油工业中的油管缺损检测、海底输油管道腐蚀检测等应用问题，对污水处理絮凝过程的智能优化控制及移动机器人的全局和局部路径规划等问题的应用也进行了一定的研究。-Book of research methods involved are mainly used in oil field production of practical work, including the general prediction of reservoir parameters, thin reservoir parameter prediction, volcanic prediction of reservoir parameters and reservoir stochastic simulation and other issues, but also involved in the oil industry pipeline defect detection, submarine detection applications such as pipeline corrosion problem of the sewage treatment process of flocculation and optimal control of intelligent mobile robot path planning global and local issues such as the application have also been some study. Platform: |
Size: 15801344 |
Author:cheny |
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Description: 本文主要讨论在MATLAB软件中如何实现C程序源代码的移植。结合"道路平整度指数(IRI)预测问题"的实例,将C语言编写自仿射变换分形插值函数,移植(或改写)到MATLAB中,绘制出宁波机场道路平整度的预测图象,为解决预测问题可视化提供帮助。-This paper mainly discusses the MATLAB software, how to achieve C source code of the transplant. Conjunction with the road roughness index (IRI) a projection of the example of C language to self-affine fractal interpolation function transformation, transplantation (or rewritten) to MATLAB, the mapping out of Ningbo airport road roughness prediction image, To address the issue of visual projections to help. Platform: |
Size: 14336 |
Author:刘军 |
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Description: 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 thinking, a new intelligent controller: humanoid logic controller prediction. The controller is based on the integration of pan-Boolean algebra of logic controllers and model-based predictive controller features, is a multi-valued logic hybrid dynamic systems. Matlab simulation show that the controller performance in the model match well when the model mismatch can be satisfied with the operation still showed robust, ultra-tune the characteristics of a small amount. with other types of artificial intelligence controller ratio, the controller structure is simple and clear physical background, the concept of math clear, easy in the field of industrial control application. Platform: |
Size: 267264 |
Author:文豪 |
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Description: MATLAB implementation of time series prediction Based on the VQTAM method described in the following papers:
G. A. Barreto & A. F. R. Araujo (2004)
"Identification and Control of Dynamical Systems Using the Self-Organizing Map"
IEEE Transactions on Neural Networks, vol. 15, no. 5. Platform: |
Size: 23552 |
Author:Carlos Wilson |
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Description: 针对反应槽容量大、滞后量大、变化因素多及温度控制要求比较高的特点，基于预测的模糊温度控制系统-Prediction based on the fuzzy temperature control system Platform: |
Size: 254976 |
Author:wang |
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Description: 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 achieve optimal control of rolling, while the actual output of the system to amend the accuracy of the forecasts. Platform: |
Size: 1024 |
Author:时代 |
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Description: :针对时滞系统的特点和采用神经网络单值预测控制存在的不足,提出了多步超前预测与补偿的控制算
法,有效地增加了控制力度,改善了动态性能,并论述了增加的预测与补偿步数与稳定的关系
-With regards to the characteristics of time-delay system and the weakness of single predictive control, this pa-
per puts forward a control scheme of multi-step-ahead prediction and compensation, which increases control power effectively,
and improves dynamic characteristics ofthe system. The paper also discusses the relationship between the step number of predic-
tion and compensation and the stability of systems
Platform: |
Size: 1024 |
Author:liubo |
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Description: 基于信道的历史信息来预测不同信道的未来可用时间可以帮助CR选择一个最佳信道进行信息传递。不同的预测准则应用到周期或是随机的开关模式中。一个CR可以学习以往不同信道的模式。我们提出一个简单的分类和学习方法去检测模式的类型和收集需要的信息用于智能信道的选择。MATLAB仿真结果显示提出的方案在随机信道的随机和周期模式中都有优越的表现。随着时间的变化，新到的切换次数减少到55 ，并且延迟时间也相应减少，而吞吐量却在提高。-Prediction of future availability times of different
channels based on history information helps a cognitive radio
(CR) to select the best channels for control and data
transmission. Different prediction rules apply to periodic and
stochastic ON-OFF patterns. A CR can learn the patterns in
different channels over time. We propose a simple classification
and learning method to detect the pattern type and to gather the
needed information for intelligent channel selection. Matlab
simulations show that the proposed method outperforms
opportunistic random channel selection both with stochastic and
periodic channel patterns. The amount of channel switches
needed over time reduces up to 55 , which reduces also the
delay and increases the throughput. Platform: |
Size: 245760 |
Author:will |
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Description: 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 characteristics. Platform: |
Size: 1202176 |
Author:邵玲 |
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Description: 灰色系统理论中的灰色预测模型，多元灰色预测模型的构建，可用于系统建模，控制系统，模型设计，预测控制，视觉目标跟踪中的运动预测等应用。-Grey prediction model in Grey System Theory can be applied in system modeling, control system, model design, prediction control and motion estimation in visual object tracking, etc. Platform: |
Size: 355328 |
Author:朱亮亮 |
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Description: a robust 1 prediction-based pole placement
control design is introduced for CDMA uplink power control via the LMI method from the state-space perspective Platform: |
Size: 601088 |
Author:lee saint |
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Description: 对动态系统辨识理论做了概括性的介绍，包含了常用的非参数系统辨识方法和参数辨识方法，并将神经网络人工智能算法应用到复杂系统参数识别，适用于系统控制、参数识别与数据预测等领域的学习。传统方法与现在智能算法都配有实例，每个代码文件都有详细注释。(This paper gives a general introduction to the dynamic system identification theory, including commonly used non-parametric system identification methods and parameter identification methods, and applies neural network artificial intelligence algorithms to complex system parameter identification, which is suitable for system control, parameter identification and data prediction. Learning in other fields. Both traditional methods and current smart algorithms are equipped with examples, and each code file has detailed comments.) Platform: |
Size: 716800 |
Author:盖勒 |
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