Asymptotical Neuro-Adaptive Consensus of Multi-Agent Systems With a High Dimensional Leader and Directed Switching Topology

Wang, Peijun; Wen, Guanghui; Huang, Tingwen; Yu, Wenwu; Lv, Yuezu

doi:10.1109/tnnls.2022.3156279

Cited by 25 publications

(9 citation statements)

References 49 publications

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“…Cooperative control of multi-agent systems (MASs) and cooperative analysis of complex networks have gained a surge of interest over the past decades because of their wide range of applications in many fields such as formation of aircrafts, data fusion, network resource allocation, and so forth. [1][2][3][4][5][6][7] Among many cooperative goals, consensus (synchronization) which seeks to reach an agreement on a common value is the most fundamental goal from which other goals can be achieved. [8][9][10][11][12][13][14] According to whether there exists a leader, consensus is classified into leader-following consensus and leaderless consensus, 15,16 where the former one is much more suitable for real applications since the leader plays a role of generating an ideal goal.…”

Section: Introductionmentioning

confidence: 99%

“…Cooperative control of multi‐agent systems (MASs) and cooperative analysis of complex networks have gained a surge of interest over the past decades because of their wide range of applications in many fields such as formation of aircrafts, data fusion, network resource allocation, and so forth 1‐7 . Among many cooperative goals, consensus (synchronization) which seeks to reach an agreement on a common value is the most fundamental goal from which other goals can be achieved 8‐14 …”

Section: Introductionmentioning

confidence: 99%

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Fully distributed containment of multiple‐input‐multiple‐output linear multi‐agent systems with multiple nonautonomous leaders

Tian

Wang

Huang

2022

Adaptive Control & Signal

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Summary In this article, we study the fully distributed containment problem for multiple‐input‐multiple‐output linear multi‐agent systems (MASs) with multiple nonautonomous leaders (i.e., leaders with nonzero inputs). First, based on an unknown input observer (UIO) with full order and by using unit vector method, we design an adaptive discontinuous controller, where the adaptive law is used to adjust network coupling strengths. And by using Barbǎlat lemma, we show that fully distributed containment can be achieved if the graph is connected and the subgraph among multiple followers is detail balanced. Second, we study fully distributed containment for MASs under an adaptive discontinuous controller based on a UIO with reduced order. Moreover, we study the case with directed switching topology. Finally, we perform simulations on a team of aircrafts to validate the theoretical results.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fully distributed containment of multiple‐input‐multiple‐output linear multi‐agent systems with multiple nonautonomous leaders

Tian

Wang

Huang

2022

Adaptive Control & Signal

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“…Nikolai et al [6] summarized in detail the development and application of copula function in recent years and made a reasonable prospect for its future development. Many Chinese scholars have also conducted numerous studies on the copula and obtained many conclusions [7][8][9][10][11][12][13][14][15][16][17][18]. Zhang [7] analyzed the feasibility of the copula function application in financial data analysis.…”

Section: Introductionmentioning

confidence: 99%

Correlation analysis of financial assets based on asymmetric copula

Hou²

2022

Front. Appl. Math. Stat.

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Based on the asymmetric copula function, this paper analyzes the static and dynamic correlation between Shanghai Composite Index and Shenzhen Composite Index. Through the static analysis, it is found that the asymmetric copula function is better than Gumbel Copula in describing the distribution characteristics of the top tail dependence between the Shanghai Composite Index and the Shenzhen Composite Index, and the copula correlation coefficient definition based on the asymmetric copula function can well describe the asymmetric dependence between variables. In the time-varying analysis, the paper improves the traditional dynamic evolution equation of the tail-dependence coefficient. Through empirical analysis, the result shows that the improved dynamic evolution equation can better reflect the dynamic evolution process of the tail-dependence coefficient.

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“…It is well known that the uncertainties of FOCSs will affect the synchronization performance. Therefore, researchers attempted to address this issue through various methods, such as fuzzy logic system (FLS) [2,[14][15][16], adaptive sliding mode control (SMC) [17][18][19][20], neural network [21][22][23]. Among these methods, adaptive fuzzy SMC (AFSMC) is an efficacious and common solution for handling uncertain items that have been proven and recognized by many researchers.…”

Section: Introductionmentioning

confidence: 99%

Disturbance observer based adaptive fuzzy synchronization controller design for uncertain fractional-order chaotic systems

Chen

Wang

2022

Front. Appl. Math. Stat.

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This study premeditated the synchronization of two fractional-order chaotic systems (FOCSs) with uncertainties and external disturbances. We utilized fuzzy logic systems (FLSs) to estimate unknown nonlinearities, and implemented disturbance observers to estimate unknown bounded external disturbances. Then, a robust control term was devised to compensate for the unavoidable approximation error of the fuzzy system. In addition, a sliding mode surface was devised to construct an adaptive fuzzy sliding mode controller (AFSMC) that can guarantee that the synchronization error converges to a small neighborhood of zero. Finally, the validity of the proposed control strategy was verified via a numerical simulation.

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Asymptotical Neuro-Adaptive Consensus of Multi-Agent Systems With a High Dimensional Leader and Directed Switching Topology

Cited by 25 publications

References 49 publications

Fully distributed containment of multiple‐input‐multiple‐output linear multi‐agent systems with multiple nonautonomous leaders

Fully distributed containment of multiple‐input‐multiple‐output linear multi‐agent systems with multiple nonautonomous leaders

Correlation analysis of financial assets based on asymmetric copula

Disturbance observer based adaptive fuzzy synchronization controller design for uncertain fractional-order chaotic systems

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