Neural-Network-Based Output-Feedback Control Under Round-Robin Scheduling Protocols

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Summary This paper provides a reliable fusion scheme over sensor networks subject to abnormal measurements and energy constraints. Two kinds of channels are employed to implement the information transmission in order to extend the lifetime. Specifically, the one has the merit of high reliability by sacrificing energy cost and the other reduces the energy cost but could result in packet loss. For the addressed problem, a χ2 detection in local state estimator is first designed to remove abnormal measurements, which could come from outliers or a malicious modification by attackers. Then, a new strategy is developed to compensate the lost local estimation transmitted by low‐reliable channels. Furthermore, by view of matrix operation and probability theory, a set of recursive formulas are developed to calculate desired error covariance matrices of local state estimation, compensated state estimation as well as fusion estimation. The optimal fusion weights are obtained analytically and the advantage of fusion estimation is disclosed by resorting to these covariance matrices. Finally, a numerical example is used to illustrate the effectiveness of the proposed method.

“…which leads to equality (34). Finally, the inequality P + (t) ≤ Σ i,i (t) can be directly obtained by the results in the work of Sun and Deng, 44 and therefore the proof is completed.…”

Section: Fusion Design Subject To Energy Constraintsmentioning

confidence: 80%

Section: Fusion Design Subject To Energy Constraintsmentioning

confidence: 99%

Reliable fusion estimation over sensor networks with outliers and energy constraints

Xie

Ding

Dong

et al. 2019

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“…Finally, a simulation example has also been given to verify the effectiveness of the proposed filter algorithm. Some future research directions will be focused on the extension of the established approach to switched systems, nonlinear systems, complex/neural networks, and the application of the obtained results on fault/spammer detection …”

Section: Discussionmentioning

confidence: 99%

“…With the rapid development of network communication technology, sensor networks have recently gained a notable popularity in industrial applications as well as an ever-increasing interest from research communities. [1][2][3][4][5] A typical sensor network possesses numerous sensor nodes that are capable of sensing, computing, and communication in a certain spatial region. It is worth mentioning that sensors could collaborate with their neighbors to fulfill specific tasks in a distributed setting.…”

Section: Introductionmentioning

confidence: 99%

Local design of distributed H_∞‐consensus filtering over sensor networks under multiplicative noises and deception attacks

Han

Dong

Wang

et al. 2019

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Summary This paper is concerned with the local design of the distributed H∞‐consensus filtering problem for a class of discrete time‐varying systems subject to both multiplicative noises and deception attacks over sensor networks. The target plant and the measuring sensors are disturbed by multiplicative noises with known statistics. The malicious signal involved in deception attacks is constrained by a specific sector‐like bounded condition, which reflects certain tolerable bound on the difference between the attack signal and the true signal. Attention is paid to the design of filter gains for guaranteeing a desirable filtering performance that simultaneously characterizes the filtering accuracy and the consensus requirement. To handle the proposed filtering problem, the supply rate function is firstly chosen for each node and then the dissipation matrix is constructed as a column substochastic matrix based on the stochastic vector dissipation theory. Subsequently, sufficient conditions by means of recursive linear matrix inequalities are presented for each node such that the filtering error and the consensus error satisfy the desirable H∞‐consensus performance index over a finite horizon. Finally, an illustrative simulation is presented to demonstrate the effectiveness of the proposed filter strategy.

“…In order to ease the communication burden, reducing the communication frequency is requisite in ensuring the communication quality. In this regard, a natural yet efficient way is used, which is a scheduling strategy to determine whether the data need to be transmitted or not . Consequently, the event‐based transmission has emerged at the right moment .…”

Section: Introductionmentioning

confidence: 99%

Finite‐horizon fault estimation for time‐varying systems with multiple fading measurements under torus‐event–based protocols

Wei

Ding

et al. 2019

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Summary In this paper, the issue of the finite‐horizon H∞ fault estimation is dealt with for a class of discrete time‐varying systems subject to randomly occurring faults and multiple fading measurements. The missing phenomena may occur in a random way from different sensors, which is represented by an individual stochastic variable meeting a certain probability distribution. Furthermore, in order to alleviate the communication burden, the torus‐event–based protocols are adopted to schedule the data transmissions only when some significant events occur. Our aim of the presented issue is to estimate the fault such that, with multiple fading measurements via the received information governed by torus‐event–based protocols, the H∞ index is satisfied over a given finite horizon. Sufficient conditions are obtained for the desired time‐varying estimator in terms of the technique of stochastic analysis and the methods of completing squares. The desired estimator gains are calculated by working out two backward recursive Riccati difference equations. Finally, a numerical simulation is given to verify the usefulness of our designed fault estimation approach.