We develop an online adaptive dynamic programming （ADP） based optimal control scheme for continuous-time chaotic systems. The idea is to use the ADP algorithm to obtain the optimal control input that makes the perfo...We develop an online adaptive dynamic programming （ADP） based optimal control scheme for continuous-time chaotic systems. The idea is to use the ADP algorithm to obtain the optimal control input that makes the performance index function reach an optimum. The expression of the performance index function for the chaotic system is first presented. The online ADP algorithm is presented to achieve optimal control. In the ADP structure, neural networks are used to construct a critic network and an action network, which can obtain an approximate performance index function and the control input, respectively. It is proven that the critic parameter error dynamics and the closed-loop chaotic systems are uniformly ultimately bounded exponentially. Our simulation results illustrate the performance of the established optimal control method.展开更多
随着高清电视和网络媒体的快速发展,音视频同步技术在广播电视节目制作中的重要性日益突出。通过对当前音视频同步系统的分析,深入研究节目时钟参考(Program Clock Reference,PCR)、显示时间戳(Presentation Time Stamp,PTS)/解码时间戳...随着高清电视和网络媒体的快速发展,音视频同步技术在广播电视节目制作中的重要性日益突出。通过对当前音视频同步系统的分析,深入研究节目时钟参考(Program Clock Reference,PCR)、显示时间戳(Presentation Time Stamp,PTS)/解码时间戳(Decoding Time Stamp,DTS)、音视频缓冲区控制等关键技术在实际制作环境中的应用。基于自适应缓冲区控制的音视频同步方案能将音视频延迟控制在±15 ms以内,满足广播级节目制作要求。展开更多
基金Supported by National High Technology Research and Development Program of China （863 Program） （2006AA04Z183）, National Nat- ural Science Foundation of China （60621001, 60534010, 60572070, 60774048, 60728307）, and the Program for Changjiang Scholars and Innovative Research Groups of China （60728307, 4031002）
基金Project supported by the Open Research Project from the SKLMCCS(Grant No.20120106)the Fundamental Research Funds for the Central Universities of China(Grant No.FRF-TP-13-018A)+2 种基金the Postdoctoral Science Foundation of China(Grant No.2013M530527)the National Natural Science Foundation of China(Grant Nos.61304079 and 61374105)the Natural Science Foundation of Beijing,China(Grant No.4132078 and 4143065)
文摘We develop an online adaptive dynamic programming （ADP） based optimal control scheme for continuous-time chaotic systems. The idea is to use the ADP algorithm to obtain the optimal control input that makes the performance index function reach an optimum. The expression of the performance index function for the chaotic system is first presented. The online ADP algorithm is presented to achieve optimal control. In the ADP structure, neural networks are used to construct a critic network and an action network, which can obtain an approximate performance index function and the control input, respectively. It is proven that the critic parameter error dynamics and the closed-loop chaotic systems are uniformly ultimately bounded exponentially. Our simulation results illustrate the performance of the established optimal control method.
文摘随着高清电视和网络媒体的快速发展,音视频同步技术在广播电视节目制作中的重要性日益突出。通过对当前音视频同步系统的分析,深入研究节目时钟参考(Program Clock Reference,PCR)、显示时间戳(Presentation Time Stamp,PTS)/解码时间戳(Decoding Time Stamp,DTS)、音视频缓冲区控制等关键技术在实际制作环境中的应用。基于自适应缓冲区控制的音视频同步方案能将音视频延迟控制在±15 ms以内,满足广播级节目制作要求。
