·詳細說明：滑模變結構控制創始人Utkin 經典著作 Sliding mode control 文件列表: Sliding Mode Control. Utkin .......\Sliding Mode Control. Utkin .......\.......\A-INTRODUCCI郚 E INDICE-SMC.pdf .......\...
上傳時間： 2013-06-29
上傳用戶：songrui
針對微型四旋翼飛行器非線性動力學模型下姿態穩定和速度跟蹤控制問題，基于全局快速終端滑模控制（TSMC-terminal Sliding mode control）方法研究了控制器設計。通過引入等價控制輸入，將姿態控制通道解耦并分別設計了姿態穩定TSMC控制器。對速度跟蹤和高度跟蹤控制，在保證高度跟蹤控制穩定的基礎上設計了保證速度跟蹤的耦合控制器。姿態穩定和速度跟蹤仿真驗證了設計控制器的性能。
上傳時間： 2013-10-23
上傳用戶：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
上傳時間： 2014-12-21
上傳用戶：hongmo
壓縮解壓算法LZ77算法有許多派生算法(這里面包括 LZSS算法)。它們的算法原理上基本都相同，無論是哪種派生算法，LZ77算法總會包含一個動態窗口（Sliding Window）和一個預讀緩沖器（Read Ahead Buffer）。動態窗口是個歷史緩沖器，它被用來存放輸入流的前n個字節的有關信息。一個動態窗口的數據范圍可以從 0K 到 64K，而LZSS算法使用了一個4K的動態窗口。預讀緩沖器是與動態窗口相對應的，它被用來存放輸入流的前n個字節，預讀緩沖器的大小通常在0 – 258 之間。這個算法就是基于這些建立的。用下n個字節填充預讀緩存器（這里的n是預讀緩存器的大小）。在動態窗口中尋找與預讀緩沖器中的最匹配的數據，如果匹配的數據長度大于最小匹配長度 （通常取決于編碼器，以及動態窗口的大小，比如一個4K的動態窗口，它的最小匹配長度就是2），那么就輸出一對〈長度（length），距離（distance）〉數組。長度(length)是匹配的數據長度，而距離(distance)說明了在輸入流中向后多少字節這個匹配數據可以被找到。
上傳時間： 2014-01-22
上傳用戶：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
標簽： Data Link Correction Elementary
上傳時間： 2016-03-05
上傳用戶：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.
標簽： 計算機視覺
上傳時間： 2015-03-15
上傳用戶：sb_zhang
滑模預測控制的一片很好的文獻，內容詳細，對學習滑模預測控制的很有幫助。
標簽： Predictive Discrete Control Sliding Mode
上傳時間： 2017-08-05
上傳用戶：zhangyu97284
Output Feedback Active Suspension Control With Higher Order Terminal Sliding Mode
標簽： 滑模
上傳時間： 2019-07-24
上傳用戶：sjjy0220
Second-Order Consensus in Multiagent Systems via Distributed Sliding Mode Control
上傳時間： 2019-07-24
上傳用戶：sjjy0220
Optimal Guaranteed Cost Sliding-Mode Control of Interval Type-2 Fuzzy Time-Delay Systems
上傳時間： 2019-07-24
上傳用戶：sjjy0220
