Xiaoxiao Li

Ms. Xiaoxiao Li

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 January 2023 in Entropy
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Journal Article
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XLXiaoxiao Li
Xiaoxiao Li
YWYinhe Wang
Yinhe Wang
SLShengping Li
Shengping Li
This paper formulates and solves a new problem of the double model following adaptive control (MFAC) of nodes and links in a complex dynamical network (CDN). This is different from most existing studies on CDN and MFAC. Inspired by the concept of composite systems, the CDN with dynamic links is regarded as an interconnected system composed of an interconnected node group (NG) and link group (LG). Guided by the above-mentioned new idea of viewing a CDN from the perspective of composite systems, by means of Lyapunov theory and proposed related mathematical preliminaries, a new adaptive control scheme is proposed for NG. In addition, to remove the restriction that the states of links in a CDN are unavailable due to physical constraints, technical restraints, and expensive measurement costs, we synthesize the coupling term in LG with the proposed adaptive control scheme for NG, such that the problem of double MFAC of nodes and links in CDN is solved. Finally, a simulation example is presented to verify the theoretical results.

9 June 2022 in International Journal of Control, Automation, and Systems
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Journal Article
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XLXiaoxiao Li
Xiaoxiao Li
YWYinhe Wang
Yinhe Wang
LLLizhi Liu
Lizhi Liu

15 July 2024 in Mathematical Methods in the Applied Sciences
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Journal Article
Closed access
XLXiaoxiao Li
Xiaoxiao Li
YWYinhe Wang
Yinhe Wang
SLShengping Li
Shengping Li

23 May 2023 in International Journal of Adaptive Control and Signal Processing
Verified
Journal Article
Closed access
XLXiaoxiao Li
Xiaoxiao Li
YWYinhe Wang
Yinhe Wang
SLShengping Li
Shengping Li

26 September 2022
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XLXiaoxiao Li
Xiaoxiao Li
YWYinhe Wang
Yinhe Wang
SLShengping Li
Shengping Li
Geometrically, a complex dynamical network (CDN) can be regarded as the interconnected system composed of the node subsystem (NS) and the link subsystem (LS) coupled with each other. Guided by this idea, in order to achieve the goal of each node following asymptotically its own reference target in a CDN, this paper investigates the model following adaptive control (MFAC) problem of NS via the dynamics of links, which implies that the LS plays the important dynamic auxiliary role in the MFAC realization of nodes. Meanwhile, we focus on the condition that the links state information is unavailable, due to sensor practical application and measurement cost constraints. To obviate this restriction, we construct the asymptotical state observer for the LS. Next, to achieve the control goal of this paper, an appropriate Lyapunov candidate function is selected, by which the MFAC scheme for NS is synthesized based on the state observer of LS. Finally, the simulation example is performed to demonstrate the theoretical results in this paper.