首页> 外文会议>IEEE International Symposium on Intelligent Control >A Hamilton-Jacobi Setup for Constrained Neural Network Control
【24h】

A Hamilton-Jacobi Setup for Constrained Neural Network Control

机译:A Hamilton-Jacobi设置用于受限制的神经网络控制

获取原文

摘要

In this paper, we derive nonlinear state feedback controllers for constrained systems with and without disturbances via Hamilton-Jacobi equations. In the former case, we show how to formulate the associated Hamilton-Jacobi-Bellman (HJB) equation using nonquadratic functional then solve it using successive iterations between the control and the cost function. The type of constraints considered in this case are input saturation, constrained states, and minimum-time control. Later in the paper, we include disturbance into the controller design for constrained input systems only. We show how to formulate the associated Hamilton-Jacobi-Isaac (HJI) equation using special nonquadratic supply rates to obtain the nonlinear state feedback H{sub}∞ control. In both Hamilton-Jacobi equations, the solution is carried over a compact set of the asymptotic stability region of an initial stabilizing control. We show through an example for the HJB case how this method enlarges the region of asymptotic stability (RAS). This is an important feature when considering constrained input systems.
机译:在本文中,我们推出了具有通过Hamilton-Jacobi方程的受约束系统的非线性状态反馈控制器。在前一种情况下,我们展示了如何使用非协调功能制定相关的Hamilton-Jacobi-Bellman(HJB)方程,然后在控制和成本函数之间使用连续迭代来解决它。在这种情况下考虑的约束类型是输入饱和度,约束状态和最小时间控制。在本文的后面,我们仅包括仅对受约束输入系统的控制器设计的干扰。我们展示了如何使用特殊的非线性供应速率制定相关的Hamilton-jacobi-Isaac(HJI)方程,以获得非线性状态反馈H {Sub}控件。在汉密尔顿 - Jacobi方程中,溶液在初始稳定控制的渐近稳定区域的紧凑型叠层上进行。我们通过HJB案例的示例展示了该方法如何扩大渐近稳定性(RAS)的区域。这是考虑受限输入系统时的一个重要特征。

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