Finite-Time Synchronization and Energy Consumption Prediction for Multilayer Fractional-Order Networks

Tong, Dongbing; Ma, Ben; Chen, Qiaoyu; Wei, Yunbing; Shi, Peng

doi:10.1109/tcsii.2022.3233420

Cited by 18 publications

(2 citation statements)

References 21 publications

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“…And making them widely used across various applications such as aerospace, intelligent driving, and remote control 2,3 . Due to the rapid development of internet technology, an increasing number of scholars and technicians have become interested in NCS and conducted extensive research on them 4‐9 . In Reference 10 focuses on observer‐based event triggering control of a continuous network system subject to Dos attack is studied.…”

Section: Introductionmentioning

confidence: 99%

“…2,3 Due to the rapid development of internet technology, an increasing number of scholars and technicians have become interested in NCS and conducted extensive research on them. [4][5][6][7][8][9] In Reference 10 focuses on observer-based event triggering control of a continuous network system subject to Dos attack is studied. In Reference 11 investigates a hybrid-triggered security control for NCS that is subject to multiple cyber attacks.…”

Section: Introductionmentioning

confidence: 99%

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Event‐triggered control of complex‐valued networked control systems under randomly occurring deception attacks

Dai

Zhou

2023

Intl J Robust & Nonlinear

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This article investigates the event‐triggered control problem in the complex‐valued networked control systems (CVNCS) under randomly occurring deception attacks (RODA). In order to optimize network bandwidth usage, reduce bandwidth waste, and enhance system performance, complex‐valued event‐triggered mechanism (CVETM) is introduced. In addition, to simulate a realistic network environment such as randomly occurring deception attacks (RODA) influence in the network channel, two types of network deception attacks that satisfy a Bernoulli distribution are introduced. Based on the above description, a closed‐loop complex‐valued networked control system (CVNCS) for stochastic deception attacks is constructed. The conditions that ensure stability of the system are obtained using of Lyapunov function and LMI. Additionally, the parameters for the designed controller are provided, and the effectiveness and feasibility of the designed system are demonstrated through simulation examples at the end of the article. Demonstrates that CVETM also has the same general conclusions as ETM.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Event‐triggered control of complex‐valued networked control systems under randomly occurring deception attacks

Dai

Zhou

2023

Intl J Robust & Nonlinear

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Adaptive event‐triggered control and observer design for discrete‐time nonlinear Markov jump systems with DoS attacks using policy iteration‐based adaptive dynamic programming

Lu,

Xing,

Zhou

2024

Optim Control Appl Methods

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This article addresses adaptive event‐triggered discrete‐time nonlinear Markov jump systems (MJs) with DoS attacks, where the introduced DoS attacks are considered as more general stochastic models with fixed trigger frequency and duration. To solve the optimal control problem, we use an adaptive dynamic programming (ADP) algorithm based on policy iteration (PI). The approximate process is as follows: the performance index function (PIF) is first updated by the iteration policy in advance, and the control policy is obtained from the PIF. Subsequently, an approximate estimation of the optimal PIF and the optimal control policy is made using the actor‐critic structure obtained through neural network techniques. In order to reduce the occupied communication resources required for control policy iteration, we introduce an adaptive event triggering mechanism with an adaptive triggering threshold, which reduces the conservatism of resource occupation by the PIF compared to the fixed‐threshold ETM. In addition, an observer identifying the unknown dynamics part of the system is designed. Finally, using the Lyapunov function, it is shown that the designed control policy ensures the stability and convergence of the MJS, and the designed observer is effective. Simulation examples are given to verify the feasibility of the controller and the observer.

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Trade Off Analysis Between Fixed‐Time Stabilization and Energy Consumption of Nonlinear Stochastic Systems

Wang,

Zhu,

Shao

et al. 2024

Intl J Robust & Nonlinear

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The trade off analysis between the fixed‐time stabilization in probability and energy consumption of nonlinear stochastic system is studied in this paper. By constructing a switching controller and using inequality techniques, sufficient conditions for fixed‐time stabilization in probability in the Lyapunov sense are given, and the upper bounds of the settling time function and energy consumption are estimated. Then, by analyzing the relationship between control parameters, control time and energy consumption, the existence of trade off between control time and energy consumption is proposed, and the corresponding optimal parameter values are given. Finally, a numerical example is used to verify the validity of the theoretical results.

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Finite-Time Synchronization and Energy Consumption Prediction for Multilayer Fractional-Order Networks

Cited by 18 publications

References 21 publications

Event‐triggered control of complex‐valued networked control systems under randomly occurring deception attacks

Event‐triggered control of complex‐valued networked control systems under randomly occurring deception attacks

Adaptive event‐triggered control and observer design for discrete‐time nonlinear Markov jump systems with DoS attacks using policy iteration‐based adaptive dynamic programming

Trade Off Analysis Between Fixed‐Time Stabilization and Energy Consumption of Nonlinear Stochastic Systems

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