Joint identification of system parameter and noise parameters in quantized systems

Cites Work

A note on the de La Vallée Poussin criterion for uniform integrability
On identification of FIR systems having quantized output data
Convergence analysis of an online approach to parameter estimation problems based on binary observations
Joint identification of plant rational models and noise distribution functions using binary-valued observations
Asymptotically efficient identification of FIR systems with quantized observations and general quantized inputs
Mathematical analysis I. Translated from the 4th and 6th Russian editions by Roger Cooke and Octavio T. Paniagua
Strong consistency of recursive identification by no use of persistent excitation condition
On the law of the iterated logarithm for martingales
Recursive identification of systems with binary-valued outputs and with ARMA noises
Identification of ARMA models using intermittent and quantized output observations
A unified identification algorithm of FIR systems based on binary observations with time-varying thresholds
Identification and adaptation with binary-valued observations under non-persistent excitation condition
Distributed system identification for linear stochastic systems with binary sensors
System identification with binary-valued output observations under either-or communication and data packet dropout
Recursive algorithms for parameter estimation with adaptive quantizer
Recursive projection algorithm on FIR system identification with binary-valued observations
Fixed-order FIR approximation of linear systems from quantized input and output data
Identification of ARMA models with binary-valued observations
Asymptotically Optimal Adaptive Control with Consistent Parameter Estimates
Consensus Protocol for Multiagent Systems With Undirected Topologies and Binary-Valued Communications
Identification Input Design for Consistent Parameter Estimation of Linear Systems With Binary-Valued Output Observations
Finite-Level Quantized Feedback Control for Linear Systems
Identification of Linear Models From Quantized Data: A Midpoint-Projection Approach
System identification using binary sensors
Threshold selection and resource allocation for quantized identification
Asymptotic consensus of multi-agent systems under binary-valued observations and observation uncertainty
Identification of linear systems using binary sensors with random thresholds

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