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智能化陆军建设 被引量:5
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作者 曹雷 陈希亮 汤伟 《国防科技》 2019年第4期9-14,共6页
智能化陆军建设面临军事理论、作战运用及智能技术等多方面挑战。从指挥信息系统发展规律来看,由信息优势到决策优势的转变正在发生。必须深刻理解人工智能技术的本质,把握智能化建设的核心要义。研究认为,陆军智能化建设的重点包括智... 智能化陆军建设面临军事理论、作战运用及智能技术等多方面挑战。从指挥信息系统发展规律来看,由信息优势到决策优势的转变正在发生。必须深刻理解人工智能技术的本质,把握智能化建设的核心要义。研究认为,陆军智能化建设的重点包括智能化指控理论、知识体系构建等2个基础及智能指挥控制、无人集群作战、智能模拟训练3个核心。 展开更多
关键词 人工智能 陆军智能化 指控理论 无人化集群作战 无人化指挥控制
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AN INTRODUCTION TO NEW MULTIVARIATE DIAGNOSIS THEORY WITH TWO KINDS OF QUALITY AND ITS APPLICATIONS
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作者 张公绪 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 1998年第1期22-30,共9页
In factory operations, the multi operation and multi index system is very common. In such a system, if we want to implement the quality control and diagnosis, we must consider the following two points, i.e. the infl... In factory operations, the multi operation and multi index system is very common. In such a system, if we want to implement the quality control and diagnosis, we must consider the following two points, i.e. the influence on the preceding operation to the succeeding operation and the correlation among indices. Since these two points exist simultaneously, it makes the problem more complex. We need to use the new multivariate diagnosis theory with two kinds of quality proposed by Prof. Zhang Gongxu in 1996 to solve such complex problem. This paper presents its fundamental principles with practical applications which agree with the theory pretty well. 展开更多
关键词 quality control diagnosis theory multi index system
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Real-time optimization power-split strategy for hybrid electric vehicles 被引量:7
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作者 XIA Chao Ying ZHANG Cong 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2016年第5期814-824,共11页
Energy management strategies based on optimal control theory can achieve minimum fuel consumption for hybrid electric vehicles, but the requirement for driving cycles known in prior leads to a real-time problem. A rea... Energy management strategies based on optimal control theory can achieve minimum fuel consumption for hybrid electric vehicles, but the requirement for driving cycles known in prior leads to a real-time problem. A real-time optimization power-split strategy is proposed based on linear quadratic optimal control. The battery state of charge sustainability and fuel economy are ensured by designing a quadratic performance index combined with two rules. The engine power and motor power of this strategy are calculated in real-time based on current system state and command, and not related to future driving conditions. The simulation results in ADVISOR demonstrate that, under the conditions of various driving cycles, road slopes and vehicle parameters, the proposed strategy significantly improves fuel economy, which is very close to that of the optimal control based on Pontryagin's minimum principle, and greatly reduces computation complexity. 展开更多
关键词 hybrid electric vehicle (HEV) linear quadratic optimal control real-time control energy management strategy
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