Particle filtering‐based recursive identification for controlled auto‐regressive systems with quantised output
J Ding, J Chen, J Lin, G Jiang - IET Control Theory & …, 2019 - Wiley Online Library
Recursive prediction error method is one of the main tools for analysis of controlled auto‐
regressive systems with quantised output. In this study, a recursive identification algorithm is …
regressive systems with quantised output. In this study, a recursive identification algorithm is …
On identification of FIR systems having quantized output data
In this paper, we present a novel algorithm for estimating the parameters of a linear system
when the observed output signal is quantized. This question has relevance to many areas …
when the observed output signal is quantized. This question has relevance to many areas …
Adaptive control with saturation-constrainted observations for drag-free satellites—A set-valued identification approach
The high-accuracy drag-free control is one of the key technologies for gravity gradient
satellites. Since the range of the gravity gradiometer is limited, the measurement is subject to …
satellites. Since the range of the gravity gradiometer is limited, the measurement is subject to …
[HTML][HTML] Set membership state estimation for discrete-time linear systems with binary sensor measurements
This paper addresses the problem of state estimation for discrete-time linear systems, based
on measurements provided by an output binary sensor. The problem is formulated and …
on measurements provided by an output binary sensor. The problem is formulated and …
A new kernel-based approach to system identification with quantized output data
In this paper we introduce a novel method for linear system identification with quantized
output data. We model the impulse response as a zero-mean Gaussian process whose …
output data. We model the impulse response as a zero-mean Gaussian process whose …
Recursive identification of systems with binary-valued outputs and with ARMA noises
Q Song - Automatica, 2018 - Elsevier
This paper considers the identification problem of the ARMA system followed by a binary
sensor, in which the internal variables are corrupted by additive ARMA noises. Recursive …
sensor, in which the internal variables are corrupted by additive ARMA noises. Recursive …
Zonotopic Distributed Fusion Over Binary Sensor Networks With Bit Rate Allocation: A Coding–Decoding Approach
L Lan, G Wei, D Ding, J Zhang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this article, the zonotopic distributed fusion estimation problem is investigated for a class
of general nonlinear systems over binary sensor networks subject to unknown-but-bounded …
of general nonlinear systems over binary sensor networks subject to unknown-but-bounded …
A unified identification algorithm of FIR systems based on binary observations with time-varying thresholds
This paper is concerned with parameter estimation of finite impulse response (FIR) systems
with binary observations. Combining a suitable design of the time-varying thresholds, a kind …
with binary observations. Combining a suitable design of the time-varying thresholds, a kind …
Asymptotically efficient identification of FIR systems with quantized observations and general quantized inputs
This paper introduces identification algorithms for finite impulse response systems under
quantized output observations and general quantized inputs. While asymptotically efficient …
quantized output observations and general quantized inputs. While asymptotically efficient …
Recursive identification of FIR systems with binary-valued outputs and communication channels
This paper investigates the recursive identification of the finite impulse response systems
whose outputs are subject to both the binary-valued quantization and the communication …
whose outputs are subject to both the binary-valued quantization and the communication …