中国科学院机构知识库网格系统: 检索

Trajectory planning algorithm based on MIWO used for nondestructive testing of EAST divertor 期刊论文 OAI收割
FUSION ENGINEERING AND DESIGN, 2022, 卷号: 182
作者: Wu, Ke; Pan, Hongtao; Cheng, Yong; Wang, Rui

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收藏 | 浏览/下载：19/0 | 提交时间：2022/12/23

Trajectory planning Time-optimal algorithm EAST

MPC-CSAS: Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems 期刊论文 OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 7
作者: Liu, Mingming; Cheng, Long; Gu, Yingqi; Wang, Ying; Liu, Qingzhi

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收藏 | 浏览/下载：22/0 | 提交时间：2022/06/21

Cost function Urban areas Real-time systems Roads Privacy Convergence Base stations Speed advisory systems multi-party computation vehicle networks optimal consensus algorithm

Application of Bat Algorithm Based Time Optimal Control in Multi-robots Formation Reconfiguration 期刊论文 OAI收割
JOURNAL OF BIONIC ENGINEERING, 2018, 卷号: 15, 期号: 1, 页码: 126-138
作者: Li GN(李冠男)

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收藏 | 浏览/下载：39/0 | 提交时间：2018/02/24

Bat Algorithm Cptd Method Multi-robots Formation Control Time Optimal Control

Adaptive dynamic programming for robust neural control of unknown continuous-time non-linear systems 期刊论文 OAI收割
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 14, 页码: 2307-2316
作者: Yang, Xiong; He, Haibo; Liu, Derong; Zhu, Yuanheng

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收藏 | 浏览/下载：36/0 | 提交时间：2017/09/13

Dynamic Programming Robust Control Neurocontrollers Continuous Time Systems Control System Synthesis Nonlinear Control Systems Optimal Control Function Approximation Monte Carlo Methods Closed Loop Systems Asymptotic Stability Adaptive Dynamic Programming Robust Neural Control Design Unknown Continuous-time Nonlinear Systems Ct Nonlinear Systems Adp-based Robust Neural Control Scheme Robust Nonlinear Control Problem Nonlinear Optimal Control Problem Nominal System Adp Algorithm Actor-critic Dual Networks Control Policy Approximation Value Function Approximation Actor Neural Network Weights Critic Nn Weights Monte Carlo Integration Method Closed-loop System Asymptotically Stability

Using reinforcement learning techniques to solve continuous-time non-linear optimal tracking problem without system dynamics 期刊论文 OAI收割
IET CONTROL THEORY AND APPLICATIONS, 2016, 卷号: 10, 期号: 12, 页码: 1339-1347
作者: Zhu, Yuanheng; Zhao, Dongbin; Li, Xiangjun

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收藏 | 浏览/下载：25/0 | 提交时间：2016/12/26

Nonlinear Control Systems Continuous Time Systems Learning (Artificial Intelligence) Optimal Control Dynamic Programming Lyapunov Methods Linear Systems Reinforcement Learning Continuous-time Problem Nonlinear Optimal Tracking Problem Adaptive Dynamic Programming Model-free Adaptive Optimal Tracking Algorithm Lyapunov Analysis Linear System

Time optimal feedrate generation with confined tracking error based on linear programming 期刊论文 OAI收割
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2015, 卷号: 28, 期号: 1, 页码: 80-95
作者: Guo Jianxin; Zhang Qiang; Gao XiaoShan; Li Hongbo

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收藏 | 浏览/下载：36/0 | 提交时间：2021/01/14

CNC MACHINES NURBS INTERPOLATOR CHORD ERROR ALGORITHM PATHS JERK ACCELERATION OPTIMIZATION CONSTRAINTS TOOLS CNC machining dynamics linear programming optimal control time optimal feedrate planning tracking error

The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Sun H.; Han H.-X.; Sun H.

收藏 | 浏览/下载：59/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

An improved fast parallel SPIHT algorithm and its FPGA implementation (EI CONFERENCE) 会议论文 OAI收割
2010 2nd International Conference on Future Computer and Communication, ICFCC 2010, May 21, 2010 - May 24, 2010, Wuhan, China
作者: Jin L.-X.

收藏 | 浏览/下载：20/0 | 提交时间：2013/03/25

In view of the current stringent need to the real-time compression algorithm of the high-speed and high-resolution image such as remote sensing or medical image and so on in this paper No List SPIHT (NLS) algorithm has been improved and a fast parallel SPIHT algorithm is proposed which is suitable to implement with FPGA. It can deal with all bit-planes simultaneously and process in the speed of 4pixels/period so the encoding time is only relative to the image resolution. The experimental results show that the processing capacity can achieve 200MPixels/s when the input clock is 50MHz the system of this paper need 2.29ms to complete lossless compression of a 512x512x8bit image and only requires 1.31ms in the optimal state. The improved algorithm keeps the high SNR unchanged increases the speed greatly and reduces the size of the needed storage space. It can implement lossless or lossy compression and the compression ratio can be controlled. It could be widely used in the field of the high-speed and high-resolution image compression. 2010 IEEE.

An adaptive image contrast enhancement based on differential evolution (EI CONFERENCE) 会议论文 OAI收割
2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China
Yang Q.

收藏 | 浏览/下载：17/0 | 提交时间：2013/03/25

Tubbs proposed a regularized incomplete beta function to represent some nonlinear transform functions most commonly used in image contrast enhancement. But how to define the coefficients of the beta function adaptively is still a problem. Applying the differential evolution in image contrast enhancement we utilize the global quickly search ability of the differential evolution algorithm adaptive mutation search at last searches the optimal values of beta function and gets an adaptive contrast enhanced image. To avoid trapping into local optimum a chaotic differential evolution algorithm is proposed. Experimental results show that the proposed algorithm can find the global optimal in few iterations and save largely computational time and complexity. 2010 IEEE.

SoC test data compression technique based on RLE-G (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Advanced Measurement and Test, AMT 2010, May 15, 2010 - May 16, 2010, Sanya, China
作者: Liu W.; Yang L.; Yang L.; Zheng X.

收藏 | 浏览/下载：35/0 | 提交时间：2013/03/25

Test data compression has been an effective way to reduce test data volume and test time as well as to solve automatic test equipment (ATE) memory and bandwidth limitation. We analyze the limitations of current test data compression algorithm and draw on the previous experience to deduce an optimal compression coding model suitable for SoC test data. In addition in this paper we make full use of the relevance of the test vectors and the advantages of statistical coding to present an efficient test data compression method RLE-G based on the coding model and give the RLE-G the optimal compression efficiency of the boundary conditions and realization steps. The experimental results for ISCAS 89 benchmark circuits demonstrate RLE-G have the excellent advantages of high compression ratio. (2010) Trans Tech Publications.