Moving horizon estimation over relay channels: Dealing with packet losses

Zou, Lei; Wang, Zidong; Shen, Bo; Dong, Hongli

doi:10.1016/j.automatica.2023.111079

Cited by 19 publications

(7 citation statements)

References 48 publications

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“…Obviously, (47) can be seen as the discrete-time filtering algebraic Riccati equation with constant parameters. Using (55) and by following the similar line as in Theorem 2 of Reference 35, it is obtained that there exists a unique stabilizing solution to (47). Thus, it can be deduced that CAREs (47) and ( 48) have a unique set of stabilizing solutions, denoted as…”

Section: Stationary Local Filtersmentioning

confidence: 87%

“…According to Thm 2 in Reference 35, we note that the solutions to (58) converge to the stabilizing solutions Ỹ dl (i) to CAREs (47).…”

Section: Stationary Local Filtersmentioning

confidence: 93%

“…Under Condition 1, assume that Xc (i) (i = 0, 1, … , d) satisfies CALE (46). Then CAREs (47) and (48) have a unique set of stabilizing solutions…”

Section: Stationary Local Filtersmentioning

confidence: 99%

“…Proof. First, if there exists a stabilizing solution Ỹ dl (i) (i = 0, … , d) to CARE (47), then (48) has as well a stabilizing solution since (48) is iterated in finite steps. As such, we simply need to prove the existence of Ỹ dl (i) to (47).…”

Section: Stationary Local Filtersmentioning

confidence: 99%

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Optimal sequential fusion estimation for sampled‐data systems with random delays and multiplicative noise

Wang,

Han,

et al. 2024

Intl J Robust & Nonlinear

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This article is concerned with the optimal sequential fusion filter design issue for a class of sampled‐data systems subject to random transmission delays and multiplicative noise. The considered delay is modeled as a multistate Markov chain, while the multiplicative noise corrupting the observation measurements is assumed be a white noise sequence with known statistical properties. First, by reorganizing the original measurements, the solvability of the addressed problem is cast into the feasibility of an optimal estimation issue for the hybrid Markovian jump system without delays. Then, an optimal sequential fusion filter is constructed by utilizing a dynamic model with finite jumps on basis of the arrival order of measurements from different sensors, guaranteeing estimation performances both at sampling instants and within the sampling intervals. Moreover, the desired estimator gains can be computed via solving a series of coupled differential Riccati equations with jumps and coupled differential Lyapunov equations. Further, a stationary sequential fusion filter is achieved with the guarantee of the exponentially mean‐square stability. Finally, two simulation examples are provided to verify the validity of the proposed algorithms.

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Section: Stationary Local Filtersmentioning

confidence: 87%

“…According to Thm 2 in Reference 35, we note that the solutions to (58) converge to the stabilizing solutions Ỹ dl (i) to CAREs (47).…”

Section: Stationary Local Filtersmentioning

confidence: 93%

“…Under Condition 1, assume that Xc (i) (i = 0, 1, … , d) satisfies CALE (46). Then CAREs (47) and (48) have a unique set of stabilizing solutions…”

Section: Stationary Local Filtersmentioning

confidence: 99%

Section: Stationary Local Filtersmentioning

confidence: 99%

See 2 more Smart Citations

Optimal sequential fusion estimation for sampled‐data systems with random delays and multiplicative noise

Wang,

Han,

et al. 2024

Intl J Robust & Nonlinear

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“…Thus, the proposed AET‐DOFC can compensate the influence of the hybrid attacks while effectively saving communication resources in the network and maintaining the satisfactory tracking performance. How to extend the proposed scheme in this paper to encompass eavesdropping attacks [33, 34] and how to detect these attacks will be studied in our future work.…”

Section: Discussionmentioning

confidence: 99%

Adaptive event‐triggered dynamic output feedback control for networked control systems under hybrid attacks

Liu,

Zhou,

Xiang

2023

IET Control Theory & Appl

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This paper concentrates on network congestion and security issue for networked control systems under the hybrid attacks. The hybrid attacks including deception attack, replay attack and denial‐of‐service attack are modelled as Bernoulli random process. A general form adaptive event‐triggered scheme (AETS) under the hybrid attacks is designed to alleviate the network congestion and save communication resources utilizing adaptive threshold and the weighted average of data packets. Meanwhile, the security issue under the hybrid attacks is addressed by a dynamic output feedback controller (DOFC) based on the AETS. Moreover, the sufficient conditions are obtained by a piecewise Lyapunov function to guarantee that the closed‐loop system is exponentially mean‐square stable. A practical experiment on networked motor control system verifies the effectiveness of the proposed scheme. The proposed scheme can not only save communication resources to further alleviate network congestion, but also defense the hybrid attacks in the network.

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Recursive multi‐sensor fusion estimation under the coding‐based relay network

Zhang,

Liu,

Deng

2024

Asian Journal of Control

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This paper studies the recursive fusion estimation issue for a class of linear time‐varying multi‐sensor systems with amplify‐and‐forward (AF) relays. The AF relay is located between the sensor and the estimator to forward measurement signals for facilitating long‐distance transmission. A binary encoding scheme is used to regulate signal transmission via a digital network where the signal is encoded into a bit string and decoded at the endpoint of the receiver. Because of the uncertainty of the network and the existence of channel noises, a set of Bernoulli distributed random variables is introduced to characterize the random bit flip phenomenon. The purpose of the addressed problem is to design a fusion estimator to simultaneously reflect the impact of multiplicative noises, the AF relay, the binary encoding scheme, and the random bit flip on the filtering error covariance. First of all, an upper bound for the filtering error covariance of the local estimator can be acquired, and by minimizing such an upper bound, the parametric form of the gain matrix is obtained. Subsequently, the fusion estimation is given based on the covariance intersection fusion strategy. Finally, a simulation example is presented to verify the effectiveness of the proposed multi‐sensor fusion estimation.

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Moving horizon estimation over relay channels: Dealing with packet losses

Cited by 19 publications

References 48 publications

Optimal sequential fusion estimation for sampled‐data systems with random delays and multiplicative noise

Optimal sequential fusion estimation for sampled‐data systems with random delays and multiplicative noise

Adaptive event‐triggered dynamic output feedback control for networked control systems under hybrid attacks

Recursive multi‐sensor fusion estimation under the coding‐based relay network

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