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System Identification Under Regular, Binary, and Quantized Observations: Moderate Deviations Error Bounds.

, , and . IEEE Trans. Automat. Contr., 60 (6): 1635-1640 (2015)

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On nearly optimal controls of hybrid LQG problems., and . IEEE Trans. Automat. Contr., 44 (12): 2271-2282 (1999)Identification Input Design for Consistent Parameter Estimation of Linear Systems With Binary-Valued Output Observations., , , and . IEEE Trans. Automat. Contr., 53 (4): 867-880 (2008)Distributed Energy-Aware Diffusion Least Mean Squares: Game-Theoretic Learning., , and . J. Sel. Topics Signal Processing, 7 (5): 821-836 (2013)How does a stochastic optimization/approximation algorithm adapt to a randomly evolving optimum/root with jump Markov sample paths., , and . Math. Program., 120 (1): 67-99 (2009)System Identification Under Regular, Binary, and Quantized Observations: Moderate Deviations Error Bounds., , and . IEEE Trans. Automat. Contr., 60 (6): 1635-1640 (2015)Numerical approximation of invariant measures for hybrid diffusion systems., , and . IEEE Trans. Automat. Contr., 50 (7): 934-946 (2005)Asymptotically optimal controls of hybrid linear quadratic regulators in discrete time., , and . Automatica, 38 (3): 409-419 (2002)Space and time complexities and sensor threshold selection in quantized identification., , , and . Automatica, 44 (12): 3014-3024 (2008)Controllability and adaptation of linear time-invariant systems under irregular and Markovian sampling., , and . Automatica, (2016)Asymptotically efficient parameter estimation using quantized output observations., and . Automatica, 43 (7): 1178-1191 (2007)