首页> 外文期刊>Neural Networks and Learning Systems, IEEE Transactions on >Adaptive Dynamic Output Feedback Neural Network Control of Uncertain MIMO Nonlinear Systems With Prescribed Performance
【24h】

Adaptive Dynamic Output Feedback Neural Network Control of Uncertain MIMO Nonlinear Systems With Prescribed Performance

机译:具有指定性能的不确定MIMO非线性系统的自适应动态输出反馈神经网络控制

获取原文
获取原文并翻译 | 示例
       

摘要

An adaptive dynamic output feedback neural network controller for a class of multi-input/multi-output affine in the control uncertain nonlinear systems is designed, capable of guaranteeing prescribed performance bounds on the system's output as well as boundedness of all other closed loop signals. It is proved that simply guaranteeing a boundedness property for the states of a specifically defined augmented closed loop system is necessary and sufficient to solve the problem under consideration. The proposed dynamic controller is of switching type. However, its continuity is guaranteed, thus alleviating any issues related to the existence and uniqueness of solutions. Simulations on a planar two-link articulated manipulator illustrate the approach.
机译:针对控制不确定非线性系统中的一类多输入/多输出仿射,设计了一种自适应动态输出反馈神经网络控制器,该控制器能够保证系统输出具有规定的性能范围以及所有其他闭环信号的有界性。事实证明,对于特定定义的增强型闭环系统,简单地保证其状态的有界性对于解决所考虑的问题是必要且充分的。所提出的动态控制器是开关型的。但是,它的连续性得到了保证,从而减轻了与解决方案的存在和唯一性有关的任何问题。在平面两连杆铰接机械手上的仿真说明了该方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号