在汉语主、宾语关系从句加工优势这一问题上,(受频率驱动)基于经验的理论与基于记忆的理论做出不同的预测,但是实证研究的结果不一。本文指出,已有大多数研究中,从句内的两个名词短语均采用了光杆形式,而这违反了关系从句的使用前提,即...在汉语主、宾语关系从句加工优势这一问题上,(受频率驱动)基于经验的理论与基于记忆的理论做出不同的预测,但是实证研究的结果不一。本文指出,已有大多数研究中,从句内的两个名词短语均采用了光杆形式,而这违反了关系从句的使用前提,即从一个集合中选取某个特定的、独特的个体。汉语中由远指词"那"构成的限定词,与英语的定冠词最为接近,可满足使用关系从句的功能、语用前提,特别是在有语境的情况下。本文在Gibson and Wu(2013)的基础上,增加限定词这一变量,并完善其实验刺激中存在的两大缺陷。自控步反应时的结果显示,在关键区即中心名词的位置以及其后的区域,均发现主语关系从句的加工优势。该结果与基于记忆的理论预测不符。相反,本研究支持基于经验的理论。展开更多
In this article,we study the secure control of the Markovian jumping neural networks(MJNNs)subject to deception attacks.Considering the limitation of the network bandwidth and the impact of the deception attacks,we pr...In this article,we study the secure control of the Markovian jumping neural networks(MJNNs)subject to deception attacks.Considering the limitation of the network bandwidth and the impact of the deception attacks,we propose two memory-based adaptive event-trigger mechanisms(AETMs).Different from the available event-trigger mechanisms,these two memory-based AETMs contain the historical triggered data not only in the triggering conditions,but also in the adaptive law.They can adjust the data transmission rate adaptively so as to alleviate the impact of deception attacks on the controlled system and to suppress the peak of the system response.In view of the proposed memory-based AETMs,a time-dependent Lyapunov functional is constructed to analyze the stability of the error system.Some sufficient conditions to ensure the asymptotical synchronization of master-slave MJNNs are obtained,and two easy-to-implement co-design algorithms for the feedback gain matrix and the trigger matrix are given.Finally,a numerical example is given to verify the feasibility and superiority of the two memory-based AETMs.展开更多
The problem of flapping motion control of Micro Air Vehicles (MAVs) with flapping wings was studied in this paper.Based upon the knowledge of skeletal and muscular components of hummingbird, a dynamic model for flappi...The problem of flapping motion control of Micro Air Vehicles (MAVs) with flapping wings was studied in this paper.Based upon the knowledge of skeletal and muscular components of hummingbird, a dynamic model for flapping wing wasdeveloped.A control scheme inspired by human memory and learning concept was constructed for wing motion control ofMAVs.The salient feature of the proposed control lies in its capabilities to improve the control performance by learning fromexperience and observation on its current and past behaviors, without the need for system dynamic information.Furthermore,the overall control scheme has a fairly simple structure and demands little online computations, making it attractive for real-timeimplementation on MAVs.Both theoretical analysis and computer simulation confirms its effectiveness.展开更多
文摘在汉语主、宾语关系从句加工优势这一问题上,(受频率驱动)基于经验的理论与基于记忆的理论做出不同的预测,但是实证研究的结果不一。本文指出,已有大多数研究中,从句内的两个名词短语均采用了光杆形式,而这违反了关系从句的使用前提,即从一个集合中选取某个特定的、独特的个体。汉语中由远指词"那"构成的限定词,与英语的定冠词最为接近,可满足使用关系从句的功能、语用前提,特别是在有语境的情况下。本文在Gibson and Wu(2013)的基础上,增加限定词这一变量,并完善其实验刺激中存在的两大缺陷。自控步反应时的结果显示,在关键区即中心名词的位置以及其后的区域,均发现主语关系从句的加工优势。该结果与基于记忆的理论预测不符。相反,本研究支持基于经验的理论。
基金supported by the National Natural Science Foundation of China (Grant Nos.61973199,62003794,and 62173214)the Shandong Provincial Natural Science Foundation (Grant Nos.ZR2020QF050 and ZR2021MF003)the Taishan Scholar Project of Shandong Province of China。
文摘In this article,we study the secure control of the Markovian jumping neural networks(MJNNs)subject to deception attacks.Considering the limitation of the network bandwidth and the impact of the deception attacks,we propose two memory-based adaptive event-trigger mechanisms(AETMs).Different from the available event-trigger mechanisms,these two memory-based AETMs contain the historical triggered data not only in the triggering conditions,but also in the adaptive law.They can adjust the data transmission rate adaptively so as to alleviate the impact of deception attacks on the controlled system and to suppress the peak of the system response.In view of the proposed memory-based AETMs,a time-dependent Lyapunov functional is constructed to analyze the stability of the error system.Some sufficient conditions to ensure the asymptotical synchronization of master-slave MJNNs are obtained,and two easy-to-implement co-design algorithms for the feedback gain matrix and the trigger matrix are given.Finally,a numerical example is given to verify the feasibility and superiority of the two memory-based AETMs.
文摘The problem of flapping motion control of Micro Air Vehicles (MAVs) with flapping wings was studied in this paper.Based upon the knowledge of skeletal and muscular components of hummingbird, a dynamic model for flapping wing wasdeveloped.A control scheme inspired by human memory and learning concept was constructed for wing motion control ofMAVs.The salient feature of the proposed control lies in its capabilities to improve the control performance by learning fromexperience and observation on its current and past behaviors, without the need for system dynamic information.Furthermore,the overall control scheme has a fairly simple structure and demands little online computations, making it attractive for real-timeimplementation on MAVs.Both theoretical analysis and computer simulation confirms its effectiveness.
