·详细说明：滑模变结构控制创始人Utkin 经典著作 Sliding mode control 文件列表: Sliding Mode Control. Utkin .......\Sliding Mode Control. Utkin .......\.......\A-INTRODUCCI郚 E INDICE-SMC.pdf .......\...
上传时间： 2013-06-29
上传用户：songrui
针对微型四旋翼飞行器非线性动力学模型下姿态稳定和速度跟踪控制问题，基于全局快速终端滑模控制（TSMC-terminal Sliding mode control）方法研究了控制器设计。通过引入等价控制输入，将姿态控制通道解耦并分别设计了姿态稳定TSMC控制器。对速度跟踪和高度跟踪控制，在保证高度跟踪控制稳定的基础上设计了保证速度跟踪的耦合控制器。姿态稳定和速度跟踪仿真验证了设计控制器的性能。
上传时间： 2013-10-23
上传用户：xcsx1945
Input The input consists of two lines. The first line contains two integers n and k which are the lengths of the array and the Sliding window. There are n integers in the second line. Output There are two lines in the output. The first line gives the minimum values in the window at each position, from left to right, respectively. The second line gives the maximum values. Sample Input 8 3 1 3 -1 -3 5 3 6 7 Sample Output -1 -3 -3 -3 3 3 3 3 5 5 6 7
上传时间： 2014-12-21
上传用户：hongmo
压缩解压算法LZ77算法有许多派生算法(这里面包括 LZSS算法)。它们的算法原理上基本都相同，无论是哪种派生算法，LZ77算法总会包含一个动态窗口（Sliding Window）和一个预读缓冲器（Read Ahead Buffer）。动态窗口是个历史缓冲器，它被用来存放输入流的前n个字节的有关信息。一个动态窗口的数据范围可以从 0K 到 64K，而LZSS算法使用了一个4K的动态窗口。预读缓冲器是与动态窗口相对应的，它被用来存放输入流的前n个字节，预读缓冲器的大小通常在0 – 258 之间。这个算法就是基于这些建立的。用下n个字节填充预读缓存器（这里的n是预读缓存器的大小）。在动态窗口中寻找与预读缓冲器中的最匹配的数据，如果匹配的数据长度大于最小匹配长度 （通常取决于编码器，以及动态窗口的大小，比如一个4K的动态窗口，它的最小匹配长度就是2），那么就输出一对〈长度（length），距离（distance）〉数组。长度(length)是匹配的数据长度，而距离(distance)说明了在输入流中向后多少字节这个匹配数据可以被找到。
上传时间： 2014-01-22
上传用户：tzl1975
3.1 Data Link Layer Design Issues 3.2 Error Detection and Correction 3.3 Elementary Data Link Protocols 3.4 Sliding Windows Protocols 3.5 Protocol Specification and Verification 3.6 Example Data Link Protocols
标签： Data Link Correction Elementary
上传时间： 2016-03-05
上传用户：sz_hjbf
The object detector described below has been initially proposed by P.F. Felzenszwalb in [Felzenszwalb2010]. It is based on a Dalal-Triggs detector that uses a single filter on histogram of oriented gradients (HOG) features to represent an object category. This detector uses a Sliding window approach, where a filter is applied at all positions and scales of an image. The first innovation is enriching the Dalal-Triggs model using a star-structured part-based model defined by a “root” filter (analogous to the Dalal-Triggs filter) plus a set of parts filters and associated deformation models. The score of one of star models at a particular position and scale within an image is the score of the root filter at the given location plus the sum over parts of the maximum, over placements of that part, of the part filter score on its location minus a deformation cost easuring the deviation of the part from its ideal location relative to the root. Both root and part filter scores are defined by the dot product between a filter (a set of weights) and a subwindow of a feature pyramid computed from the input image. Another improvement is a representation of the class of models by a mixture of star models. The score of a mixture model at a particular position and scale is the maximum over components, of the score of that component model at the given location.
标签： 计算机视觉
上传时间： 2015-03-15
上传用户：sb_zhang
滑模预测控制的一片很好的文献，内容详细，对学习滑模预测控制的很有帮助。
标签： Predictive Discrete Control Sliding Mode
上传时间： 2017-08-05
上传用户：zhangyu97284
Output Feedback Active Suspension Control With Higher Order Terminal Sliding Mode
标签： 滑模
上传时间： 2019-07-24
上传用户：sjjy0220
Second-Order Consensus in Multiagent Systems via Distributed Sliding Mode Control
上传时间： 2019-07-24
上传用户：sjjy0220
Optimal Guaranteed Cost Sliding-Mode Control of Interval Type-2 Fuzzy Time-Delay Systems
上传时间： 2019-07-24
上传用户：sjjy0220
