Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication
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[1] John N. Tsitsiklis,et al. Problems in decentralized decision making and computation , 1984 .
[2] R. Srikant,et al. Quantized Consensus , 2006, 2006 IEEE International Symposium on Information Theory.
[3] Tze Leung Lai,et al. Limiting Behavior of Weighted Sums of Independent Random Variables , 1973 .
[4] Mehran Mesbahi,et al. Distributed Linear Parameter Estimation in Sensor Networks based on Laplacian Dynamics Consensus Algorithm , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.
[5] José M. F. Moura,et al. Distributed Detection via Gaussian Running Consensus: Large Deviations Asymptotic Analysis , 2011, IEEE Transactions on Signal Processing.
[6] Michael William Newman,et al. The Laplacian spectrum of graphs , 2001 .
[7] Ali H. Sayed,et al. Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis , 2008, IEEE Transactions on Signal Processing.
[8] Soummya Kar,et al. Sensor Networks With Random Links: Topology Design for Distributed Consensus , 2007, IEEE Transactions on Signal Processing.
[9] Soummya Kar,et al. Convergence Rate Analysis of Distributed Gossip (Linear Parameter) Estimation: Fundamental Limits and Tradeoffs , 2010, IEEE Journal of Selected Topics in Signal Processing.
[10] A. Fuller,et al. Stability of Motion , 1976, IEEE Transactions on Systems, Man, and Cybernetics.
[11] J. Hale,et al. Stability of Motion. , 1964 .
[12] R. Gray,et al. Dithered Quantizers , 1993, Proceedings. 1991 IEEE International Symposium on Information Theory.
[13] S. Mitter,et al. RECURSIVE STOCHASTIC ALGORITHMS FOR GLOBAL OPTIMIZATION IN , 2022 .
[14] Soummya Kar,et al. Topology for Distributed Inference on Graphs , 2006, IEEE Transactions on Signal Processing.
[15] Jonathan H. Manton,et al. Stochastic approximation for consensus seeking: Mean square and almost sure convergence , 2007, 2007 46th IEEE Conference on Decision and Control.
[16] Béla Bollobás,et al. Modern Graph Theory , 2002, Graduate Texts in Mathematics.
[17] Stephen P. Boyd,et al. Fast linear iterations for distributed averaging , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).
[18] John N. Tsitsiklis,et al. Distributed Asynchronous Deterministic and Stochastic Gradient Optimization Algorithms , 1984, 1984 American Control Conference.
[19] Stephen P. Boyd,et al. Randomized gossip algorithms , 2006, IEEE Transactions on Information Theory.
[20] Soummya Kar,et al. Distributed average consensus in sensor networks with quantized inter-sensor communication , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.
[21] V. Borkar. Stochastic Approximation: A Dynamical Systems Viewpoint , 2008 .
[22] Mehran Mesbahi,et al. Agreement over random networks , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).
[23] Marija D. Ilic,et al. Dynamics and control of large electric power systems , 2000 .
[24] William F. Stout. Some Results on the Complete and Almost Sure Convergence of Linear Combinations of Independent Random Variables and Martingale Differences , 1968 .
[25] Mikhail Borisovich Nevelʹson,et al. Stochastic Approximation and Recursive Estimation , 1976 .
[26] E. L. Lehmann,et al. Theory of point estimation , 1950 .
[27] Frank Harary,et al. Graph Theory , 2016 .
[28] Gerry Leversha,et al. Foundations of modern probability (2nd edn), by Olav Kallenberg. Pp. 638. £49 (hbk). 2002. ISBN 0 387 95313 2 (Springer-Verlag). , 2004, The Mathematical Gazette.
[29] Fan Chung,et al. Spectral Graph Theory , 1996 .
[30] S. Mitter,et al. Recursive stochastic algorithms for global optimization in R d , 1991 .
[31] Ioannis D. Schizas,et al. Stability analysis of the consensus-based distributed LMS algorithm , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.
[32] Han-Fu Chen,et al. Identification and Stochastic Adaptive Control , 1991 .
[33] José M. F. Moura,et al. Distributing the Kalman Filter for Large-Scale Systems , 2007, IEEE Transactions on Signal Processing.
[34] A. Sripad,et al. A necessary and sufficient condition for quantization errors to be uniform and white , 1977 .
[35] Reza Olfati-Saber,et al. Consensus and Cooperation in Networked Multi-Agent Systems , 2007, Proceedings of the IEEE.
[36] R. Olfati-Saber,et al. Distributed Kalman Filter with Embedded Consensus Filters , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.
[37] Y. S. Chow. Some Convergence Theorems for Independent Random Variables , 1966 .
[38] H. Kushner,et al. Asymptotic properties of distributed and communication stochastic approximation algorithms , 1987 .
[39] José M. F. Moura,et al. Weight Optimization for Consensus Algorithms With Correlated Switching Topology , 2009, IEEE Transactions on Signal Processing.
[40] Angelia Nedic,et al. Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models , 2008, IEEE Transactions on Automatic Control.
[41] Soummya Kar,et al. Distributed Consensus Algorithms in Sensor Networks: Quantized Data and Random Link Failures , 2007, IEEE Transactions on Signal Processing.
[42] Soummya Kar. Large scale networked dynamical systems: Distributed inference , 2010 .
[43] John N. Tsitsiklis,et al. On distributed averaging algorithms and quantization effects , 2007, 2008 47th IEEE Conference on Decision and Control.
[44] J. Thorp,et al. Real Time Voltage-Phasor Measurements for Static State Estimation , 1985, IEEE Power Engineering Review.
[45] Soummya Kar,et al. Distributed Kalman Filtering : Weak Consensus Under Weak Detectability , 2011 .
[46] Alejandro Ribeiro,et al. Consensus in Ad Hoc WSNs With Noisy Links—Part I: Distributed Estimation of Deterministic Signals , 2008, IEEE Transactions on Signal Processing.
[47] Jie Lin,et al. Coordination of groups of mobile autonomous agents using nearest neighbor rules , 2003, IEEE Trans. Autom. Control..
[48] Srdjan S. Stankovic,et al. Decentralized Parameter Estimation by Consensus Based Stochastic Approximation , 2007, IEEE Transactions on Automatic Control.
[49] Xuan Kong,et al. Adaptive Signal Processing Algorithms: Stability and Performance , 1994 .
[50] José M. F. Moura,et al. Distributed Detection Over Noisy Networks: Large Deviations Analysis , 2011, IEEE Transactions on Signal Processing.
[51] L. Schuchman. Dither Signals and Their Effect on Quantization Noise , 1964 .
[52] A. Scaglione,et al. Differential Nested Lattice Encoding for Consensus Problems , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.
[53] John N. Tsitsiklis,et al. Convergence theories of distributed iterative processes: A survey , 1986 .
[54] Ruggero Carli,et al. Distributed Kalman filtering using consensus strategies , 2007, 2007 46th IEEE Conference on Decision and Control.
[55] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[56] Michael Rabbat,et al. Distributed Average Consensus using Probabilistic Quantization , 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.
[57] Ruggero Carli,et al. Average consensus on networks with quantized communication , 2009 .
[58] Richard M. Murray,et al. Consensus problems in networks of agents with switching topology and time-delays , 2004, IEEE Transactions on Automatic Control.
[59] John Vanderkooy,et al. Quantization and Dither: A Theoretical Survey , 1992 .