This paper investigates the formation problem of multiple fixed-wing unmanned aircraft vehicles (UAVs) based on virtual leader structure, subjecting to unknown uncertainties and bounded disturbances. A distributed mod...
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作者:
Li, YankaiRen, BiaoLiu, DingXi'An University of Technology
Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Local Joint Engineering Research Center of Crystal Growth Equipment and System Integration Xi'an710048 China
In this paper, the control issue of the semiconductor silicon monocrystalline growth process is studied through an event triggered model prediction approach. Firstly, a state-space model of silicon monocrystalline gro...
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The capacity and capacity-achieving distribution for intensity-modulation and direct-detection (IM-DD) fiber-optic channels is theoretically investigated. Different from coherent fiber-optic channels, we indicate that...
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For the parameter measurement of the fabricated few-mode multi-core fibers (FM-MCFs), the accuracy cannot be guaranteed due to the power coupling among each core or each mode in these fibers. In this paper, using the ...
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Due to the non-stationarity and large individual differences of EEG signals, EEG-based brain-computer interfaces (BCIs) usually need subject-specific calibration to tailor the decoding algorithm for each new subject, ...
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The detection of soft packaging bags is a key step in the process of soft packaging bags unpacking. Time-of-flight(ToF) camera is used as vision sensor and a multi-scale detection method based on deep learning is prop...
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A wideband antenna-in-package (AiP) dielectric resonator antenna (DRA) is presented in this paper. Air vias and metallic vias are used to form the equivalent DRA. To obtain a wideband design, a slot-loaded DRA mode an...
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This paper presents a new ESD clamp circuit which is co-triggered by RC and diode. It is immune to the false triggering caused by fast power-up events due to the diode detection mechanism. With the addition of a commo...
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The target tracking is an fundamental ability for many oceanic applications, such as ocean surveillance, underwater rescue and etc. Due to the good mobility of autonomous underwater vehicles (AUVs), they are the ideal...
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作者:
Xinxiang GuoYifen MuXiaoguang YangSchool of Mathematical Sciences
University of Chinese Academy of Sciences and The Key Laboratory of Systems and Control Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China The Key Laboratory of Systems and Control
Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China The Key Laboratory of Management
Decision and Information System Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China
In this paper, we consider the $n \times n$ two-payer zero-sum repeated game in which one player (player X) employs the popular Hedge (also called multiplicative weights update) learning algorithm while the other play...
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ISBN:
(数字)9798350316339
ISBN:
(纸本)9798350316346
In this paper, we consider the $n \times n$ two-payer zero-sum repeated game in which one player (player X) employs the popular Hedge (also called multiplicative weights update) learning algorithm while the other player (player Y) adopts the myopic best response. The theoretical analysis on the dynamics of such game system is still rare, which is however of promising interests. We investigate the dynamics of such Hedge-myopic system by defining a metric $Q\left(\mathbf{x}_{t}\right)$, which measures the distance between the stage strategy x t and Nash Equilibrium (NE) strategy of player $\mathbf{X}$. We analyze the trend of $Q\left(\mathbf{x}_{t}\right)$ and prove that it is bounded and can only take finite values on the evolutionary path when payoffs are all rational numbers and the game has an interior NE. Based on this, we prove that the stage strategy sequence of both players are periodic after finite stages and the time-averaged strategy of player Y within one period is an exact NE strategy.
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