A Multistage Game in Smart Grid Security: A Reinforcement Learning Solution
暂无分享,去创建一个
Zhen Ni | Shuva Paul | S. Paul | Z. Ni
[1] Wei Sun,et al. Electrical Distance Approach for Searching Vulnerable Branches During Contingencies , 2018, IEEE Transactions on Smart Grid.
[2] Haibo He,et al. Q-Learning-Based Vulnerability Analysis of Smart Grid Against Sequential Topology Attacks , 2017, IEEE Transactions on Information Forensics and Security.
[3] M. Cheng,et al. A game theory approach to vulnerability analysis: Integrating power flows with topological analysis , 2016 .
[4] Sylvain Sorin,et al. Stochastic Games and Applications , 2003 .
[5] Chen-Ching Liu,et al. Distribution System Restoration With Microgrids Using Spanning Tree Search , 2014, IEEE Transactions on Power Systems.
[6] W. Sudderth,et al. Discrete Gambling and Stochastic Games , 1996 .
[7] David K. Y. Yau,et al. Markov Game Analysis for Attack-Defense of Power Networks Under Possible Misinformation , 2013, IEEE Transactions on Power Systems.
[8] Deepa Kundur,et al. A Game-Theoretic Analysis of Cyber Switching Attacks and Mitigation in Smart Grid Systems , 2016, IEEE Transactions on Smart Grid.
[9] Ariel Rubinstein,et al. A Course in Game Theory , 1995 .
[10] Aditya Ashok,et al. Cyber-physical security of Wide-Area Monitoring, Protection and Control in a smart grid environment , 2013, Journal of advanced research.
[11] Abolfazl Mehbodniya,et al. Fuzzy logic game-theoretic approach for energy efficient operation in HetNets , 2017, 2017 IEEE International Conference on Communications Workshops (ICC Workshops).
[12] Kai Sun,et al. Estimating the Propagation of Interdependent Cascading Outages With Multi-Type Branching Processes , 2014, IEEE Transactions on Power Systems.
[13] Michael P. Wellman,et al. Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm , 1998, ICML.
[14] Dongbin Zhao,et al. Iterative Adaptive Dynamic Programming for Solving Unknown Nonlinear Zero-Sum Game Based on Online Data , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[15] Frank L. Lewis,et al. Off-Policy Reinforcement Learning for Synchronization in Multiagent Graphical Games , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[16] Lingfeng Wang,et al. A game-theoretic study of load redistribution attack and defense in power systems , 2017 .
[17] Huaguang Zhang,et al. An iterative adaptive dynamic programming method for solving a class of nonlinear zero-sum differential games , 2011, Autom..
[18] James P. Bagrow,et al. Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence , 2017, Scientific Reports.
[19] Tianyou Chai,et al. Online Solution of Two-Player Zero-Sum Games for Continuous-Time Nonlinear Systems With Completely Unknown Dynamics , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[20] Paul Hines,et al. A “Random Chemistry” Algorithm for Identifying Collections of Multiple Contingencies That Initiate Cascading Failure , 2012, IEEE Transactions on Power Systems.
[21] Frank L. Lewis,et al. Online solution of nonlinear two-player zero-sum games using synchronous policy iteration , 2010, 49th IEEE Conference on Decision and Control (CDC).
[22] Frank L. Lewis,et al. Neurodynamic Programming and Zero-Sum Games for Constrained Control Systems , 2008, IEEE Transactions on Neural Networks.
[23] Margaret J. Eppstein,et al. A “Random Chemistry” algorithm for identifying collections of multiple contingencies that initiate cascading failure , 2013, PES 2013.
[24] Walid Saad,et al. Game theory for secure critical interdependent gas-power-water infrastructure , 2017, 2017 Resilience Week (RWS).
[25] Walid Saad,et al. Game-Theoretic Methods for the Smart Grid: An Overview of Microgrid Systems, Demand-Side Management, and Smart Grid Communications , 2012, IEEE Signal Processing Magazine.
[26] Zhen Ni,et al. A Study of Linear Programming and Reinforcement Learning for One-Shot Game in Smart Grid Security , 2018, 2018 International Joint Conference on Neural Networks (IJCNN).
[27] Zhu Han,et al. Bad Data Injection Attack and Defense in Electricity Market Using Game Theory Study , 2012, IEEE Transactions on Smart Grid.
[28] Ying Chen,et al. Evaluation of Reinforcement Learning-Based False Data Injection Attack to Automatic Voltage Control , 2019, IEEE Transactions on Smart Grid.
[29] Huaguang Zhang,et al. Near-Optimal Control for Nonzero-Sum Differential Games of Continuous-Time Nonlinear Systems Using Single-Network ADP , 2013, IEEE Transactions on Cybernetics.
[30] Walid Saad,et al. Stochastic Games for Power Grid Protection Against Coordinated Cyber-Physical Attacks , 2018, IEEE Transactions on Smart Grid.
[31] Siddharth Sridhar,et al. Cyber–Physical System Security for the Electric Power Grid , 2012, Proceedings of the IEEE.
[32] Frank L. Lewis,et al. Adaptive Dynamic Programming algorithm for finding online the equilibrium solution of the two-player zero-sum differential game , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).
[33] Zhen Ni,et al. Vulnerability analysis for simultaneous attack in smart grid security , 2017, 2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).
[34] Frank L. Lewis,et al. Optimal and Autonomous Control Using Reinforcement Learning: A Survey , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[35] Janusz Bialek,et al. Benchmarking and Validation of Cascading Failure Analysis Tools , 2016, IEEE Transactions on Power Systems.
[36] Michael I. Jordan,et al. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES , 1996 .
[37] Peter Dayan,et al. Q-learning , 1992, Machine Learning.
[38] Marcus Johnson,et al. Approximate $N$ -Player Nonzero-Sum Game Solution for an Uncertain Continuous Nonlinear System , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[39] Frank L. Lewis,et al. Off-Policy Integral Reinforcement Learning Method to Solve Nonlinear Continuous-Time Multiplayer Nonzero-Sum Games , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[40] Haibo He,et al. Resilience Analysis of Power Grids Under the Sequential Attack , 2014, IEEE Transactions on Information Forensics and Security.
[41] Harry Eugene Stanley,et al. Catastrophic cascade of failures in interdependent networks , 2009, Nature.
[42] T. Basar,et al. H∞-0ptimal Control and Related Minimax Design Problems: A Dynamic Game Approach , 1996, IEEE Trans. Autom. Control..
[43] Qinglai Wei,et al. A reinforcement learning approach for sequential decision-making process of attacks in smart grid , 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).
[44] Kwang-Cheng Chen,et al. Smart attacks in smart grid communication networks , 2012, IEEE Communications Magazine.
[45] Derong Liu,et al. Adaptive Dynamic Programming for Discrete-Time Zero-Sum Games , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[46] Naresh Malla,et al. Real-time cyber physical system testbed for power system security and control , 2017 .
[47] Walid Saad,et al. Stochastic Coalitional Games for Cooperative Random Access in M2M Communications , 2017, IEEE Transactions on Wireless Communications.
[48] Chase Qishi Wu,et al. A Survey of Game Theory as Applied to Network Security , 2010, 2010 43rd Hawaii International Conference on System Sciences.
[49] Paul Hines,et al. Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence , 2014, Scientific Reports.
[50] Csaba Szepesvári,et al. A Unified Analysis of Value-Function-Based Reinforcement-Learning Algorithms , 1999, Neural Computation.
[51] Haibo He,et al. Supplementary File : Revealing Cascading Failure Vulnerability in Power Grids using Risk-Graph , 2013 .
[52] Feng Liu,et al. Risk Assessment of Multi-Timescale Cascading Outages Based on Markovian Tree Search , 2016, IEEE Transactions on Power Systems.
[53] Haibo He,et al. Integrated Security Analysis on Cascading Failure in Complex Networks , 2014, IEEE Transactions on Information Forensics and Security.
[54] Ethem Alpaydin,et al. Introduction to machine learning , 2004, Adaptive computation and machine learning.
[55] Carlos Ramos,et al. AI in Power Systems and Energy Markets , 2011, IEEE Intell. Syst..