摘要
机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。根据NewsRx编辑在广州的新闻报道，Research称：“本研究研究非线性网络控制系统(NCSs)的稳定性问题。首先，引入了主动压缩规则来缓解由服务质量(QoS)排队机制和拒绝服务(DoS)攻击引起的网络拥塞和带宽利用率问题。”这项研究的财政支持来自国家重点研究和发展计划。我们的新闻记者引用了广州大学的一篇研究，“我们开发了一种智能触发控制器，该控制器由小批量Machine学习(MBML)算法监督，以优化网络带宽利用率，并构造了更广义的Lyapunov-Krasovskii函数(LKFs)来简化数学推导，并采用适当的积分不等式来最小化约束。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting out of Guangzhou, People’s Republic of China, by NewsRx editors, research stated, “This study investigates the stability problem in nonlinear networked control systems (NCSs). First, inno vative compression rules are introduced to mitigate network congestion and bandw idth utilization issues stemming from quality of service (QoS) queuing mechanism s and denial of service (DoS) attacks.” Financial support for this research came from National Key Research and Developm ent Plan. Our news journalists obtained a quote from the research from Guangzhou Universit y, “We develop an intelligent trigger controller supervised by a mini-batch mach ine learning (MBML) algorithm to optimize network bandwidth utilization. Further more, we formulate more generalized Lyapunov-Krasovskii functions (LKFs) to simp lify mathematical derivations, and we employ appropriate integral inequalities t o minimize constraints.”
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