Finite Time Stability of Finance Systems with or without Market Confidence Using Less Control Input

Ma, Chao; Qu, Zhongfeng

doi:10.1155/2018/7149801

Cited by 8 publications

(7 citation statements)

References 40 publications

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“…Remark 3. From the above inequality (18), one can find that the UET heavily depends on the initial errors e i (0), i = 1, 2, 3. This matter has been solved in Theorem 1 successfully by discussing the previous problem of SFxS between two CFSs.…”

Section: Resultsmentioning

confidence: 99%

“…In order to acquire a fast convergence speed for CFS, the classical finite-time Lyapunov stability theory has been leveraged a lot in the past. Ma et al [18] have discussed the problem of finite-time stabilization for different dimensional CFS without and with market confidence by a single and two controllers, respectively. Xu et al [19] have considered the influence of energy-bounded external disturbance in the process of realizing finite-time stable of CFS.…”

Section: Introductionmentioning

confidence: 99%

“…However, the upper-bound of time-estimation(UT) for realizing the finite-time stabilization or synchronization is tightly related with the initial states of CFSs [18]- [22]. That is, the UT cannot be known in advance due to the uncertainty of initial states.…”

Section: Introductionmentioning

confidence: 99%

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Realizing stochastic fixed-time synchronization between two nonlinear chaotic finance systems

Wu,

Pan,

et al. 2023

Int. J. Mod. Phys. C

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The issue of stochastic fixed-time synchronization (SFxS) between two nonlinear chaotic finance systems (CFSs) in noisy environment is addressed by this investigation. Two novel strategies, including the adaptive and fixed-time control, are integrated organically, which steers the CFSs to realize synchronization within a fixed-time, and meanwhile the controlling gains can be updated by the designed adaptive law. Particularly, the designed adaptive fixed-time controlling (AFC) scheme is differentiable, so that the chattering phenomenon can be alleviated and even eliminated effectively. Furthermore, by the stochastic Lyapunov stability analysis, the sufficient criterion is derived for realizing the SFxS of CFSs, and the upper-bound expectation of settling-time (UET) is estimated as well. At last, the numerical experiments are arranged to verify the correctness and feasibility of analytical results, the influence of noisy perturbation on the convergence rate is uncovered, and the interesting similar Dragon–King events are observed.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Realizing stochastic fixed-time synchronization between two nonlinear chaotic finance systems

Wu,

Pan,

et al. 2023

Int. J. Mod. Phys. C

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show abstract

Section: Introductionmentioning

confidence: 99%

Realizing stochastic fixed-time synchronization between two nonlinear chaotic finance systems

Pan

et al. 2022

Preprint

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The issue of stochastic fixed-time synchronization(SFxS) between two nonlinear chaotic finance systems(CFSs) in noisy environment is addressed by this investigation. Two novel strategies, including the adaptive and fixed-time control, are integrated organically, which steers the CFSs to realize synchronization within a fixed-time, and meanwhile the controlling gains can be updated by the designed adaptive law. Particularly, the designed adaptive fixed-time controlling(AFC) scheme is differentiable, so that the chattering phenomenon can be alleviated and even eliminated effectively. Furthermore, by the stochastic Lyapunov stability, the sufficient criterion is derived for realizing the SFxS of CFSs, and the upper-bound expectation of settling-time(UET) is estimated as well. At last, the numerical experiments are arranged to verify the correctness and feasibility of analytical results, and the influence of noisy perturbation on the convergence rate is uncovered.

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“…It is well known that supply chain integration has become an inevitable choice for the sustainable development of China's economy [1]- [5]. However, traditional supply chain researches focus on logistics and information flow, neglecting capital flow in supply chain operation [6]- [11].…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Strategies of Supply Chain Finance From the Perspective of a Return Policy

Zhang

Yue

2019

IEEE Access

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Return policy and supply chain finance are significant measures for banks and enterprises to improve the overall competitiveness of their supply chain. Supervision and guidance by banks are prerequisites to the smooth implementation of return policy and supply chain finance. This study analyzes the evolutionary stable strategy of three parties, namely, one bank, one supplier and one retailer, by establishing an asymmetric evolutionary game model. The model assumes that banks apply a reward and punishment policy for suppliers and retailers. Results show that regardless of the strategy the bank chooses, one party will always choose non-implementation of the return policy or non-adoption of the supply chain finance. From a short-term perspective, regardless of the strategy the bank chooses, suppliers and retailers will select the strategy of non-implementation and non-adoption, respectively. From the long-term perspective, suppliers and retailers will actively choose implementation and adoption whether or not there is bank supervision.INDEX TERMS Evolutionary game theory, return policy, supply chain coordination, supply chain finance.

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Finite Time Stability of Finance Systems with or without Market Confidence Using Less Control Input

Cited by 8 publications

References 40 publications

Realizing stochastic fixed-time synchronization between two nonlinear chaotic finance systems

Realizing stochastic fixed-time synchronization between two nonlinear chaotic finance systems

Realizing stochastic fixed-time synchronization between two nonlinear chaotic finance systems

Evolutionary Strategies of Supply Chain Finance From the Perspective of a Return Policy

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