Hybrid‐driven‐based stabilisation for networked control systems

Liu, Jinliang; Zha, Lijuan; Cao, Jie; Fei, Shumin

doi:10.1049/iet-cta.2016.0392

Cited by 63 publications

(45 citation statements)

References 25 publications

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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%

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

Han

Dong

Wang

et al. 2019

Intl J Robust & Nonlinear

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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.

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Section: Discussionmentioning

confidence: 99%

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

Han

Dong

Wang

et al. 2019

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

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“…For any subintervals in (28), (27) can be easily obtained from conditions (14) and (24). Then, from (8) and (19), one gets…”

Section: Stability Analysis and Control Synthesismentioning

confidence: 99%

“…From the intervals in (28),ē k (t), e(t − d(t)) and e(t − (t)) are piecewise continuous functions. Because s k is a determined positive integer, there is limited jumps ofē k (t), e(t − d(t)) and e(t − (t)) on the interval [l q , l q+1 ).…”

Section: Stability Analysis and Control Synthesismentioning

confidence: 99%

“…A hybrid triggering scheme is proposed in terms of a combination of time-triggering scheme and event-triggering scheme, which works in accordance with Bernoulli distribution. 28 A self-triggering scheme utilizing current sampled data rather than continuously measured data is studied in the work of Qi et al 29 A novel event-triggering scheme with a simpler form and fewer initial hypotheses is proposed for discrete-time systems. 30 Moreover, a performance-dependent event-triggering scheme is given based on the dynamic and steady-state processes of a control system.…”

Section: Introductionmentioning

confidence: 99%

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Event‐triggered H_∞ synchronization control for switched master‐slave systems subject to stochastic cyber attacks and quantization

Liu

Qiu

et al. 2020

Optim Control Appl Methods

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Summary This paper studies the event‐triggered H∞ control for synchronization of networked switched master‐slave systems under external disturbance, stochastic attacks, and quantization. With the proposed event‐triggering schemes, the communication frequency and data packets can be effectively regulated and reduced. To reduce further the burden of network transmission, the quantized control is applied. Moreover, the network transmission delay and the stochastic cyberattacks are concerned. In addition, the synchronization problem between switched master systems and switched slave systems is transformed into a stability problem of switched error systems. By adopting multiple Lyapunov functions and average dwell time method, sufficient conditions are constructed to assure the mean‐square exponential stability with H∞ performance of the switched error systems. Meanwhile, the stagger between data switching instants and triggering instants is discussed in the system in detail. Accordingly, the controller gains and event‐triggering parameters are obtained utilizing a set of linear matrix inequalities. Finally, a numerical simulation and a practical example are illustrated to demonstrate the effectiveness of the presented method.

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“…Recent advancements in the fifth-generation (5G) have enabled abundant technologies such as vehicular networks, autonomous control, and Internet of Things (IoT) [1][2][3]. Many sensors are distributed in IoT, and they need to collect many data and execute real-time communication tasks, which are quite latency-sensitive.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Fog Computing Assisted Wireless Powered Networks: Joint Energy and Time Minimization

et al. 2019

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This paper studies the optimal design of the fog computing assisted wireless powered network, where an access point (AP) transmits information and charges an energy-limited sensor device with Radio Frequency (RF) energy transfer. The sensor device then uses the harvested energy to decode information and execute computing. Two candidate computing modes, i.e., local computing and fog computing modes, are considered. Two multi-objective optimization problems are formulated to minimize the required energy and time for the two modes, where the time assignments and the transmit power are jointly optimized. For the local computing mode, we obtain the closed-form expression of the optimal time assignment for energy harvesting by solving a convex optimization problem, and then analyze the effects of scaling factor between the minimal required energy and time on the optimal time assignment. For the fog computing mode, we derive closed-form and semi-closed-form expressions of the optimal transmit power and time assignment for offloading by adopting the Lagrangian dual method, the Karush-Kuhn-Tucker (KKT) conditions and Lambert W Function. Simulation results show that, when the sensor device has poor computing capacity or when it is far away from the AP, the fog computing mode is the better choice; otherwise, the local computing is preferred to achieve a better performance.Electronics 2019, 8, 137 2 of 17 and far away from wireless sensor devices, thus offloading computation tasks to centralized cloud servers may results in heavy access burden and transmission delay. Therefore, a new communication and computing paradigm called fog computing was presented to extend cloud computing from network center to network edge [7,8]. Compared with cloud servers, fog servers are closer to user terminal equipments. Thus, fog computing is able to achieve lower response delay. Moreover, by offloading computation intensive tasks from ultra-low-power sensor devices to fog servers, the energy consumption of sensors may be saved and computation capabilities of wireless sensors is capable of being supplemented.Apart from the limited computation capacity of ultra-low-power sensor devices, another key issue is how to supply sustainable and stable power to sensor devices, because IoT sensor devices are often widely deployed in large-scale networks and powered by small-size batteries with limited energy storage capacities. To release the cost and risk of battery replacement, in large-scale applications and toxic environment, wireless power transfer (WPT) was presented as a promising solution. As for wireless power transfer, there are three different kinds of technologies, i.e., induction coupling, magnetic resonance coupling and RF radiation. Among them, induction coupling and magnetic resonance coupling are near-field power transfer technologies, which basically are able to charge the devices in the range of tenths of watts, over short distances of up to one meter [9]. Particularly, induction coupling needs tight alignment of the coils of chargers ...

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Hybrid‐driven‐based stabilisation for networked control systems

Cited by 63 publications

References 25 publications

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

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

Event‐triggered H_∞ synchronization control for switched master‐slave systems subject to stochastic cyber attacks and quantization

Multi-Objective Optimization of Fog Computing Assisted Wireless Powered Networks: Joint Energy and Time Minimization

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Hybrid‐driven‐based stabilisation for networked control systems

Cited by 63 publications

References 25 publications

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

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

Event‐triggered H∞ synchronization control for switched master‐slave systems subject to stochastic cyber attacks and quantization

Multi-Objective Optimization of Fog Computing Assisted Wireless Powered Networks: Joint Energy and Time Minimization

Contact Info

Product

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About

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

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

Event‐triggered H_∞ synchronization control for switched master‐slave systems subject to stochastic cyber attacks and quantization