Missile interception problem can be regarded as a two-person zero-sum differential games problem,which depends on the solution of Hamilton-Jacobi-Isaacs(HJI)equa-tion.It has been proved impossible to obtain a closed-f...Missile interception problem can be regarded as a two-person zero-sum differential games problem,which depends on the solution of Hamilton-Jacobi-Isaacs(HJI)equa-tion.It has been proved impossible to obtain a closed-form solu-tion due to the nonlinearity of HJI equation,and many iterative algorithms are proposed to solve the HJI equation.Simultane-ous policy updating algorithm(SPUA)is an effective algorithm for solving HJI equation,but it is an on-policy integral reinforce-ment learning(IRL).For online implementation of SPUA,the dis-turbance signals need to be adjustable,which is unrealistic.In this paper,an off-policy IRL algorithm based on SPUA is pro-posed without making use of any knowledge of the systems dynamics.Then,a neural-network based online adaptive critic implementation scheme of the off-policy IRL algorithm is pre-sented.Based on the online off-policy IRL method,a computa-tional intelligence interception guidance(CIIG)law is developed for intercepting high-maneuvering target.As a model-free method,intercepting targets can be achieved through measur-ing system data online.The effectiveness of the CIIG is verified through two missile and target engagement scenarios.展开更多
由于传统的视频信息隐藏算法缺乏对人眼视觉感知特性的研究,本文提出一种基于视觉感知的3D-HEVC(3D High Efficiency Video Coding,3D-HEVC)帧间信息隐藏算法。首先,根据立体显著模型和大津阈值,将立体视频图像分为显著区域和非显著区域...由于传统的视频信息隐藏算法缺乏对人眼视觉感知特性的研究,本文提出一种基于视觉感知的3D-HEVC(3D High Efficiency Video Coding,3D-HEVC)帧间信息隐藏算法。首先,根据立体显著模型和大津阈值,将立体视频图像分为显著区域和非显著区域;然后,建立隐秘信息与量化参数QP(Quantization Parameter,QP)的映射关系,且针对不同的区域,利用隐秘信息根据余数相等原则相应的调制P帧或B帧的QP值;最后,用含隐秘信息的QP进行编码。实验结果表明,该算法平均每帧嵌入容量为246bit,相比于原始HTM13.0,所提算法编码重建立体视频序列的PSNR值和SSIM值平均下降0.0314dB和0.000 058,比特率仅平均增长0.0741%,且能对隐秘信息盲提取。展开更多
文摘Missile interception problem can be regarded as a two-person zero-sum differential games problem,which depends on the solution of Hamilton-Jacobi-Isaacs(HJI)equa-tion.It has been proved impossible to obtain a closed-form solu-tion due to the nonlinearity of HJI equation,and many iterative algorithms are proposed to solve the HJI equation.Simultane-ous policy updating algorithm(SPUA)is an effective algorithm for solving HJI equation,but it is an on-policy integral reinforce-ment learning(IRL).For online implementation of SPUA,the dis-turbance signals need to be adjustable,which is unrealistic.In this paper,an off-policy IRL algorithm based on SPUA is pro-posed without making use of any knowledge of the systems dynamics.Then,a neural-network based online adaptive critic implementation scheme of the off-policy IRL algorithm is pre-sented.Based on the online off-policy IRL method,a computa-tional intelligence interception guidance(CIIG)law is developed for intercepting high-maneuvering target.As a model-free method,intercepting targets can be achieved through measur-ing system data online.The effectiveness of the CIIG is verified through two missile and target engagement scenarios.
文摘由于传统的视频信息隐藏算法缺乏对人眼视觉感知特性的研究,本文提出一种基于视觉感知的3D-HEVC(3D High Efficiency Video Coding,3D-HEVC)帧间信息隐藏算法。首先,根据立体显著模型和大津阈值,将立体视频图像分为显著区域和非显著区域;然后,建立隐秘信息与量化参数QP(Quantization Parameter,QP)的映射关系,且针对不同的区域,利用隐秘信息根据余数相等原则相应的调制P帧或B帧的QP值;最后,用含隐秘信息的QP进行编码。实验结果表明,该算法平均每帧嵌入容量为246bit,相比于原始HTM13.0,所提算法编码重建立体视频序列的PSNR值和SSIM值平均下降0.0314dB和0.000 058,比特率仅平均增长0.0741%,且能对隐秘信息盲提取。
