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Found 5 papers, 0 papers with code
Consensus-Based Distributed Nonlinear Filtering with Kernel Mean Embedding
To show the proposed distributed filter being capable of achieving the centralized estimation accuracy, a centralized filter, serving as an extension of the standard Kalman filter in the state space to the RKHS, is developed first.
Asymptotically Efficient Quasi-Newton Type Identification with Quantized Observations Under Bounded Persistent Excitations
This paper is concerned with the optimal identification problem of dynamical systems in which only quantized output observations are available under the assumption of fixed thresholds and bounded persistent excitations.
Parallel Multi-Extended State Observers based {ADRC} with Application to High-Speed Precision Motion Stage
In particular, the algorithm for calculating the tracking error caused by single ESO's estimation error is constructed.
Recursive Identification of Set-Valued Systems under Uniform Persistent Excitations
This paper studies the control-oriented identification problem of set-valued moving average systems with uniform persistent excitations and observation noises.
Identification and Adaptation with Binary-Valued Observations under Non-Persistent Excitation Condition
By using both the stochastic Lyapunov function and martingale estimation methods, we establish the strong consistency of the estimation algorithm and provide the convergence rate, under a signal condition which is considerably weaker than the traditional PE condition and coincides with the weakest possible excitation known for the classical least square algorithm of stochastic regression models.
