[1]
|
Ma Qi-Yan, Qin Li-Jun. Key technologies of smart distribution grid. Modem Electric Power, 2010, 27(2): 39-44(马其燕, 秦立军. 智能配电网关键技术. 现代电力, 2010, 27(2): 39-44)
|
[2]
|
Gellings C W. The Smart Grid: Enabling Energy Efficiency and Demand Response. Lilburn: The Fairmont Press, Inc., 2009.
|
[3]
|
Zhen Xiao-Ya, Yin Zhong-Dong, Sun Zhou. Advanced energy storage technology in the application of the smart grid and its prospect. Electric Age, 2011, (1): 44-47(甄晓亚, 尹忠东, 孙舟. 先进储能技术在智能电网中的应用和展望. 电气时代, 2011, (1): 44-47)
|
[4]
|
Xu Yan-Wei, Jia Rong. Application of artificial immune theory-based ant colony system (AIACS) in reconfiguration of distribution networks. Power System Protection and Control, 2010, 38(18): 89-93(徐延炜, 贾嵘. 基于人工免疫思想的蚁群算法(AIACS)在配电网重构中的应用. 电力系统保护与控制, 2010, 38(18): 89-93)
|
[5]
|
Hung M H, Shu L S, Ho S J, Hwang S F, Ho S Y. A novel intelligent multiobjective simulated annealing algorithm for designing robust PID controllers. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 2010, 38(2): 319-330
|
[6]
|
Green R C, Wang L F, Alam M, Singh C. Intelligent and parallel state space pruning for power system reliability analysis using MPI on a multicore platform. IEEE PES Innovative Smart Grid Technologies (ISGT), 2011, 18(2): 1-8
|
[7]
|
Qi Fang, Zhang Li-Zi, Wei Bin, Que Guang-Hui. Study on electricity tariffs based on Ramsey pricing theory. Power Demand Side Management, 2010, 12(2): 24-27(齐放, 张粒子, 魏玢, 阙光辉. 基于拉姆齐定价理论的销售电价研究. 电力需求侧管理, 2010, 12(2): 24-27)
|
[8]
|
Zhang Hua-Guang, Zhang Xin, Luo Yan-Hong, Yang Jun. An overview of research on adaptive dynamic programming. Acta Automatica Sinica, 2013, 39(4): 303-311(张化光, 张欣, 罗艳红, 杨珺. 自适应动态规划综述. 自动化学报, 2013, 39(4): 303-311)
|
[9]
|
Powell W B. Approximate Dynamic Programming: Solving the Curses of Dimensionality. New York: John Wiley & Sons, 2007.
|
[10]
|
Werbos P J. Approximate dynamic programming for real-time control and neural modeling. Handbook of Intelligent Control: Neural, Fuzzy, and Adaptive Approaches (Chapter 13). New York: Van Nostrand Reinhold, 1992.
|
[11]
|
Wang F Y, Zhang H G, Liu D R. Adaptive dynamic programming: an introduction. IEEE Computational Intelligence Magazine, 2009, 4(2): 39-47
|
[12]
|
Liu D R, Zhang Y, Zhang H G. A self-learning call admission control scheme for CDMA cellular networks. IEEE Transactions on Neural Networks, 2005, 16(5): 1219-1228
|
[13]
|
Zhang H G, Wei Q L, Luo Y H. A novel infinite-time optimal tracking control scheme for a class of discrete-time nonlinear systems via the greedy HDP iteration algorithm. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2008, 38(4): 937-942
|
[14]
|
Zhang H G, Wei Q L, Liu D R. An iterative adaptive dynamic programming method for solving a class of nonlinear zero-sum differential games. Automatica, 2011, 47(1): 207-214
|
[15]
|
Heydari A, Balakrishnan S N. Finite-horizon control-constrained nonlinear optimal control using single network adaptive critics. IEEE Transactions on Neural Networks and Learning Systems, 2013, 24(1): 145-157
|
[16]
|
Zhang H G, Luo Y H, Liu D R. Neural-network-based near-optimal control for a class of discrete-time affine nonlinear systems with control constraints. IEEE Transactions on Neural Networks, 2009, 20(9): 1490-1503
|
[17]
|
Zhao Dong-Bin, Liu De-Rong, Yi Jian-Qiang. An overview on the adaptive dynamic programming based urban city traffic signal optimal control. Acta Automatica Sinica, 2009, 35(6): 676-681(赵冬斌, 刘德荣, 易建强. 基于自适应动态规划的城市交通信号优化控制方法综述. 自动化学报, 2009, 35(6): 676-681)
|
[18]
|
Hou Zhong-Sheng, Xu Jian-Xin. On data-driven control theory: the state of the art and perspective. Acta Automatica Sinica, 2009, 35(6): 650-667(侯忠生, 许建新. 数据驱动控制理论及方法的回顾和展望. 自动化学报, 2009, 35(6): 650-667)
|
[19]
|
Hou Zhong-Sheng. On model-free adaptive control: the state of the art and perspective. Control Theory & Applications, 2006, 23(4): 586-592(侯忠生. 无模型自适应控制的现状与展望. 控制理论与应用, 2006, 23(4): 586-592)
|
[20]
|
Lewis F L, Liu D R. Reinforcement Learning and Approximate Dynamic Programming for Feedback Control. New York: John Wiley & Sons, 2013.
|
[21]
|
Liu De-Rong, Li Hong-Liang, Wang Ding. Data-based self-learning optimal control: research progress and prospects. Acta Automatica Sinica, 2013, 39(11): 1858-1870(刘德荣, 李宏亮, 王鼎. 基于数据的自学习优化控制: 研究进展与展望. 自动化学报, 2013, 39(11): 1858-1870)
|
[22]
|
Zhang T P, Lu Y, Zhu Q, Shen Q K. Adaptive dynamic surface control with unmodeled dynamics. In: Proceedings of the 31st Chinese Control Conference (CCC). Hefei, China: IEEE, 2012. 2859-2864
|
[23]
|
He Yue-Bang, Pei Hai-Long, Ye Xiang, Zhang Qian. Trajectory tracking control of unmanned helicopters by using adaptive dynamic surface approach. Journal of South China University of Technology (Natural Science Edition), 2013, 41(5): 1-8(贺跃帮, 裴海龙, 叶祥, 张谦. 无人直升机的自适应动态面轨迹跟踪控制. 华南理工大学学报(自然科学版), 2013, 41(5): 1-8)
|
[24]
|
Huang T, Liu D R. A self-learning scheme for residential energy system control and management. Neural Computing and Applications, 2013, 22(2): 259-269
|
[25]
|
Kirk D E. Optimal Control Theory: An Introduction. Englewood Cliffs, NJ: Prentice-Hall, 1970.
|