Delay-independent traffic flux control for a discrete-time lattice hydrodynamic model with time-delay

Pan, Dongbo; Zhong, Geng; Jiang, Shan; Zhang, Yu; Cui, Buli

doi:10.1016/j.physa.2020.125440

Cited by 11 publications

(13 citation statements)

References 25 publications

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“…Centralized security problem for stochastic system linear time-invariant with multidate-sensors fusion subject to deception attack is studied in [6]. Data transferred on each sensor by adversaries as extra signal which makes feasible boundary situations such as [25,150].…”

Section: Deception Attack Detection or Identificationmentioning

confidence: 99%

“…Using stochastic analysis techniques, enough conditions were gained for gaining already determined original system security level. For effecting uniform quantization, deception attack was supposed in distributive recursive filtering problem of stochastic system discrete time-delayed [6,83,153]. We supposed the following system for showing its working:…”

Section: Deception Attack Detection or Identificationmentioning

confidence: 99%

“…Recently, issues of MASs and their analysis have been well discussed in [5] but security issues of MASs have not been studied in the article and these systems are unsafe from cyberattacks and physical faults. So, we need to adjust, wait, or abandon at the time of system failure or attack [6]. MASs trust and access control issues have been highlighted.…”

Section: Introductionmentioning

confidence: 99%

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An Overview of Recent Advances of Resilient Consensus for Multiagent Systems under Attacks

Aslam

Ahmed

et al. 2022

Computational Intelligence and Neuroscience

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Consensus control of multiagent systems (MASs) has been one of the most extensive research topics in the field of robotics and automation. The information sharing among the agents in the MASs depends upon the communication network because the interaction of agents may affect the consensus performance of the agents in a communication network. An unexpected fault and attack may occur on one agent and can propagate through the communication network into other agents. Thus, this may cause severe degradation of the whole MASs. In this paper, we first discussed MAS technologies. After that available technologies for the modeling of attacks and fundamental issues due to attacks on MAS attacks were discussed. We also introduced cooperative attack methodologies and model-based attack methodology. Objective of this article is to provide comprehensive study on recent advances in consensus control of MASs under attacks covering the published results until 2021. This survey presents different kinds of attacks, their estimation and detection, and resilient control against attacks. At the end, the survey accomplishes some potential recommendations for future direction to solve the key issues and challenges reported for secure consensus control of MASs.

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Section: Deception Attack Detection or Identificationmentioning

confidence: 99%

Section: Deception Attack Detection or Identificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Overview of Recent Advances of Resilient Consensus for Multiagent Systems under Attacks

Aslam

Ahmed

et al. 2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…Second, two forms of asymptotic stability conditions are derived in this paper, which discrete‐time Lyapunov stability theorem is utilized. On the one hand, compared with existing model, 23 it is more general to consider time‐varying delay in this paper. On the other hand, time delay information in sensing the preceding lattices flux and density information is considered in our model simultaneously, which fill the research gap in previous works.…”

Section: Introductionmentioning

confidence: 99%

Steady flow control for a novel lattice hydrodynamic model with time delay based on discrete‐time system

Kang

Qian

Zeng

et al. 2023

Math Methods in App Sciences

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This paper aims to investigate the influence of time delay effect and steady flow control strategy on traffic flow. Consider that the time delay in sensing flux information during the operation of traffic system is inevitable. Meanwhile, a new method is applied to model and analyse traffic system. A novel discrete‐time lattice hydrodynamic model considering time delay is introduced in this paper. Based on the proposed model with constant and varying time‐delay, the asymptotic stabilities are investigated and corresponding stable conditions are derived. The traffic flow evolution trend with and without time delay is conducted and compared by numerical simulations. Also, under the influence of different control gain conditions, density wave characteristics for traffic flow system with time delay are intuitively shown. The results indicate that time delay effect in sensing density and flux information can aggravate traffic congestion, and traffic congestion will be effectively relieved by considering steady flow control signal.

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“…Generally speaking, there are three types of traffic models: microscopic models [6][7][8][9][10][11][12], lattice models [13][14][15][16][17][18][19][20], and macroscopic hydrodynamic models [21][22][23][24][25][26][27]. The macro model mainly refers to the continuous medium model of traffic flow, which regards a large number of vehicles as compressible continuous medium and studies the comprehensive average behavior of the vehicle group.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Analyzing for a Novel Continuum Model Considering Self-Stabilizing Control on Curved Road with Slope

Li¹,

Wang²,

Wu³

2022

Computer Modeling in Engineering &Amp; Sciences

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It is essential to fully understand master the traffic characteristics of the self-stabilizing control effect and road characteristics to ensure the regular operation of transportation. Traffic flow on curved roads and slopes is irregular and more complicated than that on the straight road. However, most of the research only considers the effect of self-stabilizing in the straight road. This study attempts to bridge this deficiency from the following three aspects. First, we review the potential influencing factors of traffic flow stability, which are related to the vehicle's steady velocity, history velocity, and the turn radius of the road and the slope of the road. Based on the above review, an extended continuum model accounting for the self-stabilizing effect on a curved road with slope is proposed. Second, the linear stability criterion of the new model is derived by applying linear stability theory, and the neutral stability curve is obtained in detail. The modified KdV equation describing the evolution characteristics of traffic congestion is derived by using the nonlinear analysis method. Upon the theoretical analysis, the third aspect focuses on simulating the self-stabilizing effect under different slopes and radius, which demonstrates that the self-stabilizing effect is conducive to reducing congestion of the curved road with slope.

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Delay-independent traffic flux control for a discrete-time lattice hydrodynamic model with time-delay

Cited by 11 publications

References 25 publications

An Overview of Recent Advances of Resilient Consensus for Multiagent Systems under Attacks

An Overview of Recent Advances of Resilient Consensus for Multiagent Systems under Attacks

Steady flow control for a novel lattice hydrodynamic model with time delay based on discrete‐time system

Modeling and Analyzing for a Novel Continuum Model Considering Self-Stabilizing Control on Curved Road with Slope

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