Control and estimation with limited information: a game-theoretic approach
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[1] Robin J. Evans,et al. Feedback Control Under Data Rate Constraints: An Overview , 2007, Proceedings of the IEEE.
[2] T. Başar,et al. Model Simplification and Optimal Control of Stochastic Singularly Perturbed Systems under Exponentiated Quadratic Cost , 1996 .
[3] Arman C. Kizilkale,et al. Collective Target Tracking Mean Field Control for Markovian Jump-Driven Models of Electric Water Heating Loads , 2014 .
[4] Hamidou Tembine,et al. Electrical Vehicles in the Smart Grid: A Mean Field Game Analysis , 2011, IEEE Journal on Selected Areas in Communications.
[5] T. Başar,et al. Closed-loop Stackelberg strategies with applications in the optimal control of multilevel systems , 1979 .
[6] Daniel W. C. Ho,et al. Robust H∞ control for a class of nonlinear discrete time-delay stochastic systems with missing measurements , 2009, Autom..
[7] Emanuele Garone,et al. LQG control with Markovian packet loss , 2013, 2013 European Control Conference (ECC).
[8] El-Kébir Boukas,et al. H/sub /spl infin// control for discrete-time linear systems with Markovian jumping parameters , 1997, Proceedings of the 36th IEEE Conference on Decision and Control.
[9] Panganamala Ramana Kumar,et al. Cyber–Physical Systems: A Perspective at the Centennial , 2012, Proceedings of the IEEE.
[10] Yilin Mo,et al. Kalman Filtering with Intermittent Observations: Critical Value for Second Order System , 2011 .
[11] Tyrone E. Duncan,et al. Linear-Exponential-Quadratic Gaussian Control , 2013, IEEE Transactions on Automatic Control.
[12] R. P. Marques,et al. Discrete-Time Markov Jump Linear Systems , 2004, IEEE Transactions on Automatic Control.
[13] Jianliang Wang,et al. H∞ Controller Design of Networked Control Systems with Markov Packet Dropouts , 2013, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[14] Andrea J. Goldsmith,et al. LQG Control for MIMO Systems Over Multiple Erasure Channels With Perfect Acknowledgment , 2012, IEEE Transactions on Automatic Control.
[15] Tamer Basar,et al. Minimax control over unreliable communication channels , 2015, Autom..
[16] W. Fleming,et al. Controlled Markov processes and viscosity solutions , 1992 .
[17] P. Caines,et al. Individual and mass behaviour in large population stochastic wireless power control problems: centralized and Nash equilibrium solutions , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).
[18] G. Didinsky. Design of minimax controllers for nonlinear systems using cost-to-come methods , 1994 .
[19] J. B. Cruz,et al. Nonclassical control problems and Stackelberg games , 1979 .
[20] Jun Moon,et al. Estimation over lossy networks: A dynamic game approach , 2013, 52nd IEEE Conference on Decision and Control.
[21] Geir E. Dullerud,et al. Optimal Disturbance Attenuation for Discrete-Time Switched and Markovian Jump Linear Systems , 2006, SIAM J. Control. Optim..
[22] Bruno Sinopoli,et al. Foundations of Control and Estimation Over Lossy Networks , 2007, Proceedings of the IEEE.
[23] Nasser E. Nahi,et al. Optimal recursive estimation with uncertain observation , 1969, IEEE Trans. Inf. Theory.
[24] D. Sorensen,et al. Approximation of large-scale dynamical systems: an overview , 2004 .
[25] J. Marsden,et al. Elementary classical analysis , 1974 .
[26] Hideaki Ishii,et al. Hinfinity control with limited communication and message losses , 2008, Syst. Control. Lett..
[27] Ioannis Karatzas,et al. Brownian Motion and Stochastic Calculus , 1987 .
[28] John N. Tsitsiklis,et al. A survey of computational complexity results in systems and control , 2000, Autom..
[29] Tamer Basar,et al. Minimax estimation with intermittent observations , 2015, Autom..
[30] M. Athans,et al. Further results on the uncertainty threshold principle , 1977 .
[31] Huijun Gao,et al. ${\cal H}_{\infty}$ Estimation for Uncertain Systems With Limited Communication Capacity , 2007, IEEE Transactions on Automatic Control.
[32] R. Srikant,et al. Revenue-maximizing pricing and capacity expansion in a many-users regime , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.
[33] Dimitri P. Bertsekas,et al. Dynamic Programming and Optimal Control, Two Volume Set , 1995 .
[34] W. Fleming,et al. Risk-Sensitive Control on an Infinite Time Horizon , 1995 .
[35] Andrea Censi,et al. Kalman Filtering With Intermittent Observations: Convergence for Semi-Markov Chains and an Intrinsic Performance Measure , 2011, IEEE Transactions on Automatic Control.
[36] Oswaldo Luiz V. Costa,et al. Stationary filter for linear minimum mean square error estimator of discrete-time Markovian jump systems , 2002, IEEE Trans. Autom. Control..
[37] Y. Bar-Shalom,et al. Detection thresholds for tracking in clutter--A connection between estimation and signal processing , 1985 .
[38] Minyi Huang,et al. Large-Population LQG Games Involving a Major Player: The Nash Certainty Equivalence Principle , 2009, SIAM J. Control. Optim..
[39] J. Bismut. Linear Quadratic Optimal Stochastic Control with Random Coefficients , 1976 .
[40] Emanuele Garone,et al. LQG control over lossy TCP-like networks with probabilistic packet acknowledgements , 2010 .
[41] G. Dullerud,et al. A Course in Robust Control Theory: A Convex Approach , 2005 .
[42] Stephen P. Boyd,et al. Linear Matrix Inequalities in Systems and Control Theory , 1994 .
[43] Francesco Bullo,et al. On Kalman Filtering for Detectable Systems With Intermittent Observations , 2009, IEEE Transactions on Automatic Control.
[44] Jin Ma. Forward-backward stochastic differential equations and their applications in finance , 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.
[45] Minyi Huang,et al. Large-Population Cost-Coupled LQG Problems With Nonuniform Agents: Individual-Mass Behavior and Decentralized $\varepsilon$-Nash Equilibria , 2007, IEEE Transactions on Automatic Control.
[46] Julian Mintseris,et al. A Protein Complex Network of Drosophila melanogaster , 2011, Cell.
[47] Sirish L. Shah,et al. Optimal Hinfinity filtering in networked control systems with multiple packet dropouts , 2008, Syst. Control. Lett..
[48] Konrad Reif,et al. Stochastic Stability of the Extended Kalman Filter With Intermittent Observations , 2010, IEEE Transactions on Automatic Control.
[49] Chun Zhang. Centralized and Decentralized Control With Limited Information , 2008 .
[50] Ji-Feng Zhang,et al. Mean Field Games for Large-Population Multiagent Systems with Markov Jump Parameters , 2012, SIAM J. Control. Optim..
[51] João Pedro Hespanha,et al. A Survey of Recent Results in Networked Control Systems , 2007, Proceedings of the IEEE.
[52] Stephen P. Boyd,et al. Future directions in control in an information-rich world , 2003 .
[53] M. Athans,et al. The uncertainty threshold principle: Fundamental limitations of optimal decision making under dynamic uncertainty , 1976 .
[54] Paulo Tabuada,et al. Minimax control for cyber-physical systems under network packet scheduling attacks , 2013, HiCoNS '13.
[55] Nicola Elia,et al. Limitations of Linear Control Over Packet Drop Networks , 2011, IEEE Transactions on Automatic Control.
[56] Rhodes,et al. Optimal stochastic linear systems with exponential performance criteria and their relation to deterministic differential games , 1973 .
[57] Tamer Basar,et al. Linear-quadratic stochastic differential Stackelberg games with a high population of followers , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).
[58] Tamer Basar,et al. Control over lossy networks: A dynamic game approach , 2014, 2014 American Control Conference.
[59] M. Fragoso,et al. ℋ︁∞ filtering for discrete‐time linear systems with Markovian jumping parameters† , 2003 .
[60] Jose B. Cruz,et al. A Stackelberg solution for games with many players , 1973 .
[61] Soummya Kar,et al. Kalman Filtering With Intermittent Observations: Weak Convergence to a Stationary Distribution , 2009, IEEE Transactions on Automatic Control.
[62] Eduardo I. Silva,et al. Control of LTI plants over erasure channels , 2011, Autom..
[63] Ji-Feng Zhang,et al. Hierarchical Mean Field Games for Multiagent Systems With Tracking-Type Costs: Distributed $\varepsilon $-Stackelberg Equilibria , 2014, IEEE Transactions on Automatic Control.
[64] Peter E. Caines,et al. Epsilon-Nash Mean Field Game Theory for Nonlinear Stochastic Dynamical Systems with Major and Minor Agents , 2012, SIAM J. Control. Optim..
[65] H. Chizeck,et al. Optimal quadratic control of jump linear systems with Gaussian noise in discrete-time , 1988, Proceedings of the 27th IEEE Conference on Decision and Control.
[66] J. Doyle,et al. Robust and optimal control , 1995, Proceedings of 35th IEEE Conference on Decision and Control.
[67] J. Doob. Stochastic processes , 1953 .
[68] Jun Moon,et al. Minimax Control of MIMO Systems over Multiple TCP-like Lossy Networks , 2014 .
[69] Alim P. C. Gonçalves,et al. Dynamic Output Feedback Control of Discrete-Time Markov Jump Linear Systems through Linear Matrix Inequalities , 2009, SIAM J. Control. Optim..
[70] Gerhard Freiling,et al. A survey of nonsymmetric Riccati equations , 2002 .
[71] T. Runolfsson. The equivalence between infinite-horizon optimal control of stochastic systems with exponential-of-integral performance index and stochastic differential games , 1994, IEEE Trans. Autom. Control..
[72] Bruno Sinopoli,et al. Kalman Filtering With Intermittent Observations: Tail Distribution and Critical Value , 2012, IEEE Transactions on Automatic Control.
[73] Umesh Vaidya,et al. Stabilization of nonlinear systems over packet-drop links: Scalar case , 2012, Syst. Control. Lett..
[74] H. Witsenhausen. A Counterexample in Stochastic Optimum Control , 1968 .
[75] Sanjay Lall,et al. An explicit solution for optimal two-player decentralized control over TCP erasure channels with state feedback , 2011, Proceedings of the 2011 American Control Conference.
[76] Tamer Basar,et al. Control over TCP-like lossy networks: A dynamic game approach , 2013, 2013 American Control Conference.
[77] W. L. De Koning,et al. Infinite horizon optimal control of linear discrete time systems with stochastic parameters , 1982, Autom..
[78] Jiongmin Yong,et al. A Leader-Follower Stochastic Linear Quadratic Differential Game , 2002, SIAM J. Control. Optim..
[79] P. Whittle. Risk-Sensitive Optimal Control , 1990 .
[80] Tamer Basar,et al. Linear Quadratic Risk-Sensitive and Robust Mean Field Games , 2017, IEEE Transactions on Automatic Control.
[81] Quanyan Zhu,et al. Risk-Sensitive Mean-Field Games , 2012, IEEE Transactions on Automatic Control.
[82] C. L. Benkard,et al. Markov Perfect Industry Dynamics with Many Firms , 2005 .
[83] Aart J. C. Bik,et al. Pregel: a system for large-scale graph processing , 2010, SIGMOD Conference.
[84] Quanyan Zhu,et al. Hybrid risk-sensitive mean-field stochastic differential games with application to molecular biology , 2011, IEEE Conference on Decision and Control and European Control Conference.
[85] Tamer Basar,et al. Optimal control of LTI systems over unreliable communication links , 2006, Autom..
[86] Sean P. Meyn,et al. Synchronization of Coupled Oscillators is a Game , 2010, IEEE Transactions on Automatic Control.
[87] Tao Li,et al. Asymptotically Optimal Decentralized Control for Large Population Stochastic Multiagent Systems , 2008, IEEE Transactions on Automatic Control.
[88] 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.
[89] H. Nagai. Bellman Equations of Risk-Sensitive Control , 1996 .
[90] X. Zhou,et al. Stochastic Controls: Hamiltonian Systems and HJB Equations , 1999 .
[91] V. Jilkov,et al. Survey of maneuvering target tracking. Part V. Multiple-model methods , 2005, IEEE Transactions on Aerospace and Electronic Systems.
[92] Heinrich von Stackelberg,et al. Stackelberg (Heinrich von) - The Theory of the Market Economy, translated from the German and with an introduction by Alan T. PEACOCK. , 1953 .
[93] Fuwen Yang,et al. Robust H/sub /spl infin// filtering for stochastic time-delay systems with missing measurements , 2006, IEEE Transactions on Signal Processing.
[94] Minyi Huang,et al. Linear-Quadratic-Gaussian Mixed Games with Continuum-Parametrized Minor Players , 2012, SIAM J. Control. Optim..
[95] Luca Schenato,et al. To Zero or to Hold Control Inputs With Lossy Links? , 2009, IEEE Transactions on Automatic Control.
[96] T. Başar,et al. H∞-Control of Markovian Jump Systems and Solutions to Associated Piecewise-Deterministic Differential Games , 1995 .
[97] Raja Sengupta,et al. An H/sub /spl infin// approach to networked control , 2005, IEEE Transactions on Automatic Control.
[98] Bruno Sinopoli,et al. Kalman filtering with intermittent observations , 2004, IEEE Transactions on Automatic Control.
[99] M. Fragoso,et al. Continuous-Time Markov Jump Linear Systems , 2012 .
[100] Quanyan Zhu,et al. Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach , 2013, IEEE Transactions on Smart Grid.
[101] D. Luenberger. Optimization by Vector Space Methods , 1968 .
[102] Masao Fukushima,et al. Dynamic programming approach to discrete time dynamic feedback Stackelberg games with independent and dependent followers , 2006, Eur. J. Oper. Res..
[103] Bruno Sinopoli,et al. A characterization of the critical value for Kalman filtering with intermittent observations , 2008, 2008 47th IEEE Conference on Decision and Control.
[104] Nevio Benvenuto,et al. State control in networked control systems under packet drops and limited transmission bandwidth , 2010, IEEE Transactions on Communications.
[105] Ling Shi,et al. Probabilistic performance of state estimation across a lossy network , 2008, Autom..
[106] Nicola Elia,et al. Remote stabilization over fading channels , 2005, Syst. Control. Lett..
[107] P. Caines,et al. Nash Equilibria for Large-Population Linear Stochastic Systems of Weakly Coupled Agents , 2005 .