Estimator design for complex networks with encoding decoding mechanism and buffer-aided strategy: A partial-nodes accessible case

Zhang, Yuhan; Zou, Lei; Wang, Yezheng; Wang, Yu-Ang

doi:10.1016/j.isatra.2022.03.029

Cited by 13 publications

(6 citation statements)

References 51 publications

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“…r r r r b a >   ¯¯, the controller gains K and observer gain L,  ¯then the uncertain fractional-order augmented system (11) under deception attacks is stochastically meansquare stable, if there exists matrices Y i 0, 0, 0, 1, 2…”

Section: T T Tmentioning

confidence: 99%

“…Complex dynamical networks (CDNs) have been widely utilized to represent a variety of real-time networks during the past few decades, including image processing, biological networks, aviation networks, power networks, and others [9,10]. In recent years [11,12], a lot of high-quality and interesting research has been done on how CDNs change over time. In this regard, fractional-order complex networks have been effectively applied to chaotic systems by employing a variety of techniques, including the time-delay feedback approach [13], synchronization [14], state estimation method [15], event-triggered strategy [16], tracking control [17], and so on.…”

Section: Introductionmentioning

confidence: 99%

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Mittag-Leffler function based security control for fractional-order complex network system subject to deception attacks via Observer-based AETS and its applications

Mubeen Tajudeen,

Perumal,

Kumar Thakur

et al. 2024

Phys. Scr.

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The goal of this paper is to investigate the security control for uncertain fractional-order delayed complex network systems under deception attacks using the Mittag-Leffler function and observer-based adaptive event-triggered scheme (AETS) with the fractional commensurate order in $q\in (0, 1)$. The adaptive event-triggering scheme is used during the data transmission process from the sensors to the observer, where the triggering threshold can be dynamically modified to reduce resource waste. We make a novel model for the estimation error system that takes into account both the effects of the adaptive event-triggered scheme and the effects of deception attacks. A sufficient condition is obtained to guarantee the stochastic mean-square stability of the augmented error system using the Mittag-Leffler (M-L) functions and the Lyapunov functional mrthod and By using the singular value decomposition (SVD) and linear matrix inequality (LMI) techniques, the co-design problem of desired observer and controller gains is found, and it is shown that the solution ensures the stability of a closed-loop uncertain fractional-order complex networked system. At the end of this study, two numerical examples and diesel engine system model are given to show that the above findings are correct.

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Section: T T Tmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mittag-Leffler function based security control for fractional-order complex network system subject to deception attacks via Observer-based AETS and its applications

Mubeen Tajudeen,

Perumal,

Kumar Thakur

et al. 2024

Phys. Scr.

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“…However, this method can not effectively reduce the computation burden and cost in case of good communication 29‐31 . In order to overcome this disadvantage, the partial‐nodes‐based state estimation (PNBSE) scheme has been proposed, which can provide the states of all nodes via partial nodes' measurement information 32,33 . In the light of the potential application of PNBSE method, it has received a growing number of attentions in recent years.…”

Section: Introductionmentioning

confidence: 99%

“…[29][30][31] In order to overcome this disadvantage, the partial-nodes-based state estimation (PNBSE) scheme has been proposed, which can provide the states of all nodes via partial nodes' measurement information. 32,33 In the light of the potential application of PNBSE method, it has received a growing number of attentions in recent years. To mention a few, the PNBSE problem has been studied for CNs with unbounded distributed delays in Reference 34.…”

Section: Introductionmentioning

confidence: 99%

Partial‐nodes‐based state estimation for state‐saturated complex networks with random mixed couplings under dynamic event‐triggered protocol

Lin

Chen

et al. 2023

Adaptive Control & Signal

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The state estimation (SE) problem is addressed for state-saturated complex networks (CNs) contaminated by the random mixed couplings. Such coupling phenomenon consists of the random inner coupling and the random outer coupling, where the random inner coupling is reflected by multiplicative noise and the random outer coupling is described by random variable obeying uniform distribution. In order to reduce resource waste and calculation cost, the additional auxiliary variable method is employed to construct the dynamic event-triggered communication condition, which can more effectively represent the change of information demand. Accordingly, a novel partial-nodes-based (PNB) estimator is designed in the presence of general nonlinearity and state-saturated nonlinearity, which can estimate the whole states of network nodes with the aid of the measurement information from partial nodes. The appropriate estimator gain is obtained to ensure that the upper bound of estimation error covariance (UBEEC) is minimized. Moreover, sufficient condition is given to guarantee that the trace of the UBEEC is uniformly bounded. Finally, the numerical example is presented to demonstrate the feasibility and effectiveness of the developed PNB estimation algorithm.

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“…In Reference 1, the finite‐time synchronization problem for a class of complex dynamic networks was studied, where leader‐follower synchronization and leaderless synchronization were fully considered. For more details, see References 11‐16 and the references therein.…”

Section: Introductionmentioning

confidence: 99%

Non‐fragile state estimation of discrete‐time two‐time‐scale Markov jump complex networks subject to partially known probabilities

Cai,

Li,

Xia

et al. 2023

Adaptive Control & Signal

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SummaryThis paper investigates the problem of non‐fragile state estimation for Markov jump complex networks with two‐time‐scale characteristics in discrete time, in which the transition probabilities information is partially known. A singular perturbation parameter reflects the two‐time‐scale property of Markov jump complex networks. The goal is to design a mode‐dependent state estimator to ensure that the estimation error system is stochastically stable and satisfies the performance index. By constructing a mode‐dependent Lyapunov function with the singular perturbation parameter, a sufficient condition based on the linear matrix inequality is obtained. By introducing an optimized relaxation matrix, a novel decoupling method is proposed for complex networks with two‐time‐scale characteristics to reduce the conservatism of the obtained state estimator. The usefulness of the intended state observer and the superiority of the unique decoupling approach provided are demonstrated numerically.

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Estimator design for complex networks with encoding decoding mechanism and buffer-aided strategy: A partial-nodes accessible case

Cited by 13 publications

References 51 publications

Mittag-Leffler function based security control for fractional-order complex network system subject to deception attacks via Observer-based AETS and its applications

Mittag-Leffler function based security control for fractional-order complex network system subject to deception attacks via Observer-based AETS and its applications

Partial‐nodes‐based state estimation for state‐saturated complex networks with random mixed couplings under dynamic event‐triggered protocol

Non‐fragile state estimation of discrete‐time two‐time‐scale Markov jump complex networks subject to partially known probabilities

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