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Deborah Greer

\[Click here and type your ojective\] 1990-1994 Aobor Shoes

Where would you find Grimaldi

  • The Sistine Chapel, the Circuit de Monaco, the Orion Nebula or the moon?
  • These are all features of the moon, the Earth’s natural satellite.
  • And that is our next stop today on CNN 10. 1985-1990 Kobe Bryant

Now, this here is what that satellite looks like in 4K

  • Its goal is to make detailed maps of the moon.
  • So, this is a virtual tour
  • If you’ll kindly return your tray tables to their full upright position and direct your attention through the window. 1980-1984 Kyrie Irving

You’ll see what the terrain looks like on the moon

  • Our next point of interest is the Moon’s South Pole
  • In the years since this mission was launched
  • What movie holds the record for earning the most money worldwide? 1975-1980 Chris Paul

vatar, Titanic, Jurassic World, or Star Wars: The Force Awakens?

  • These are the top four money makers overall
  • Many major motion pictures cost in the neighborhood of $100 million once you factor in marketing and distribution.
  • Once you factor in marketing and distribution. 1970-1975 Kobe Bryant

Movie industry experts say it could become part of an elite club.

  • There have been only three movies to make more than $2 billion worldwide.
  • A good chunk of these revenues are coming from China. Only one of these nations located west of the African continent is Cape Verde. That’s today’s "Great Big Story".

转载于:https://my.oschina.net/u/3962295/blog/1976095

基于径向基函数神经网络RBFNN的自适应滑模控制学习(Matlab代码实现)内容概要:本文介绍了基于径向基函数神经网络(RBFNN)的自适应滑模控制方法,并提供了相应的Matlab代码实现。该方法结合了RBF神经网络的非线性逼近能力和滑模控制的强鲁棒性,用于解决复杂系统的控制问题,尤其适用于存在不确定性和外部干扰的动态系统。文中详细阐述了控制算法的设计思路、RBFNN的结构与权重更新机制、滑模面的构建以及自适应律的推导过程,并通过Matlab仿真验证了所提方法的有效性和稳定性。此外,文档还列举了大量相关的科研方向和技术应用,涵盖智能优化算法、机器学习、电力系统、路径规划等多个领域,展示了该技术的广泛应用前景。; 适合人群:具备一定自动控制理论基础和Matlab编程能力的研究生、科研人员及工程技术人员,特别是从事智能控制、非线性系统控制及相关领域的研究人员; 使用场景及目标:①学习和掌握RBF神经网络与滑模控制相结合的自适应控制策略设计方法;②应用于电机控制、机器人轨迹跟踪、电力电子系统等存在模型不确定性或外界扰动的实际控制系统中,提升控制精度与鲁棒性; 阅读建议:建议读者结合提供的Matlab代码进行仿真实践,深入理解算法实现细节,同时可参考文中提及的相关技术方向拓展研究思路,注重理论分析与仿真验证相结合。
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