Description: 型随机微分方程的线性二次控制,线性二次控制 -stochastic differential equation of the linear quadratic control, linear quadratic control the linear quadratic control Platform: |
Size: 250880 |
Author:wang |
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Description: 在本书中介绍了控制领域的随机控制的基本理论，对于随机控制的入门有很大帮助-In this book, introduced to control the area of the basic theory of stochastic control, stochastic control for the entry of much help Platform: |
Size: 3618816 |
Author:琦琦 |
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Description: 这是一本系统讲述离散事件系统仿真与建模的专业电子书籍，对于从事随机系统的仿真，比如电梯群控算法的仿真设计，有很大帮助．-This is a system on the discrete event system simulation and modeling of professional e-books, for the simulation of stochastic systems, such as the elevator group control algorithm simulation design, are very helpful. Platform: |
Size: 6483968 |
Author:李泽斯 |
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Description: 这是美国麻省理工学院的有关动态规划与随机控制方面的课件，希望对学习动态规划和随机控制方面对大家有所帮助。-This is the Massachusetts Institute of Technology on Dynamic Programming and Stochastic Control in courseware, want to learn dynamic programming and stochastic control to all of us help. Platform: |
Size: 5003264 |
Author:李丹勇 |
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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: 针对随机目标的建模\估计与控制书籍,适合做随机控制与估计人员-Stochastic models, Estimation and Control vol I writtern by Peter Maybeck Platform: |
Size: 6403072 |
Author:刘经纬 |
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Description: 书名：现代控制引论教程 Matlab辅助实验
本教材共9章。第1章介绍了经典控制论的主要内容，这是研究控制论问题时最初引入的理论和方法；第2章是现代控制论采用的状态空间描述，包括连续时间和离散时间空间模型；第3章是系统状态分析；第4章介绍了现代控制论的两个标志性的内容．即系统状态的能控性和能观性，以及能控性和能观性的判定等内容；第5章介绍了系统各种稳定性的概念和判别方法；第6章是在前5章分析的基础上，讨论了系统综合问题，如极点配置、镇定等；第7章介绍了最优控制的基本方法——极小值原理和动态规划法；第8章和第9章分别对控制论的两个分支：随机系统的状态滤波与控制和自适应控制方面等内容作了基本介绍。
-Title: Introduction to modern control experiment textbook tutorial of Matlab including 9 Chapters:
Chp1 introduces the main content of classical control theory, cybernetics is the study of this problem first introduced the theory and methods in Chp2 of the modern control theory using state-space description, including the continuous time and discrete time space model
Chp3 is the system state analysis
Chp4 describes the modern control theory, the two iconic content. The state of the system controllability and observability and controllability and observability of the decision, etc. Chp5 introduces the concept of system stability and discrimination of various methods
Chp6 is based on the former 5 chapters and discusses the systems integration issues, such as pole placement, stabilization, etc.
Chp7 describes the basic method of optimal control- minimum principle and dynamic programming
Chp8 and 9, respectively, on control theory The two branches: the state of stochastic Platform: |
Size: 1790976 |
Author:商志远 |
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Description: 基于MATLAB_Simulink的系统仿真技术与应用
本书首先介绍MATLAB语言的程序设计的基本内容，在此基础上系约介绍了系统仿真所必要的数值计算方法及MATLAB实现，并以Simu1ink为主要工具介绍了系统仿真方法与技巧，包括连续系统、离散系统、随机输入系统和复数系统的仿真，由浅入深介绍了模块封装技术、电力系统模块集、非线性系统设计模块集、S-函数编写与应用、Stateflow有限状态机、虚拟现实工具箱等中高级使用方法，最后还介绍了半实物仿真技术均实时控制技术。本书可作为一般读者学习和掌握MAlLAB／Simulink语言的教科书，也可作为高校理工科各类专业的本科生和研究生系统仿真类课程的教材和参考书，还可供科技工作者、教师作为学习和应用系统仿真分析技术解决实际问题的参考资料。-This book introduces MATLAB programming language, the basic content, in this based on the simulation system presented about the necessary numerical methods and MATLAB implementation, and Simu1ink introduced the system as the main tool for simulation methods and techniques, including the continuous system , discrete systems, stochastic input system and complex system simulation, Deep introduced module packaging technology, power system block set, set of nonlinear system design module, S-function and application of writing, Stateflow finite state machines, virtual reality tools use of boxes and other senior, finally introduced the loop simulation technology are real-time control technology. Platform: |
Size: 17889280 |
Author:商志远 |
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Description: 《随机分析学基础》是一本广泛应用于各个领域的书籍，如通信、控制、生物、社会科学等- Stochastic analysis foundation is a very useful book, it has been widely applied in various fields, such as communication, control of biological, social science Platform: |
Size: 4097024 |
Author:lahui |
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Description: 在本文中,我们开发了一种计算易于管教的方法随机滚动时域控制下的线性系统状态和控制乘法噪声和二次约束。我们的方法使用开环加线性反馈的在线滚动时域优化,允许作为半定规划要解决的问题。-In this paper, we have developed a computationally tractable approach to stochastic receding horizon control of linear systems under state and control multiplicative noise and quadratic constraints. Our approach used open loop plus linear feedback in the on-line receding horizon optimization, allowing the problem to be solved as a semi-definite program. Platform: |
Size: 646144 |
Author:Gao |
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Description: This package is useful for control to object by stochastic iterative learning control(ILC) with PID controller. Platform: |
Size: 1024 |
Author:Jack |
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Description: 基于随机滤波器的永磁同步电动机无速度传感器控制技术研究-Research based on random Permanent Magnet Synchronous Motor Speed Sensor Control Platform: |
Size: 4405248 |
Author:长长 |
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Description: 此工具包是对Matlab的随机工具包的扩展,对于研究随机控制的人有很大的帮助-This toolkit is an extension of the random of Matlab toolkit, for studying stochastic control has a lot of help Platform: |
Size: 4096 |
Author:RTCY_617 |
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Description: 此工具包是对Matlab的随机工具包的扩展,对于研究随机控制的人有很大的帮助-This toolkit is an extension of the random of Matlab toolkit, for studying stochastic control has a lot of help Platform: |
Size: 4096 |
Author:chhenyop |
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Description: This toolkit is an extension of the random of Matlab toolkit, for studying stochastic control has a lot of help Platform: |
Size: 4096 |
Author:Franolji
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