• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

Stability Analysis of Optimal Adaptive Control Under Value Iteration Using a Stabilizing Initial Policy.

作者信息

Heydari Ali

出版信息

IEEE Trans Neural Netw Learn Syst. 2018 Sep;29(9):4522-4527. doi: 10.1109/TNNLS.2017.2755501. Epub 2017 Oct 16.

DOI:10.1109/TNNLS.2017.2755501
PMID:29035232
Abstract

Adaptive optimal control using value iteration initiated from a stabilizing control policy is theoretically analyzed. The analysis is in terms of stability of the system during the learning stage and includes the system controlled by any fixed control policy and also by an evolving policy. A feature of the presented results is finding subsets of the region of attraction. This is done so that if the initial condition belongs to this region, the entire state trajectory remains within the training region. Therefore, the function approximation results remain reliable, as no extrapolation will be conducted.

摘要

相似文献

1
Stability Analysis of Optimal Adaptive Control Under Value Iteration Using a Stabilizing Initial Policy.
IEEE Trans Neural Netw Learn Syst. 2018 Sep;29(9):4522-4527. doi: 10.1109/TNNLS.2017.2755501. Epub 2017 Oct 16.
2
Stability and Admissibility Analysis for Zero-Sum Games Under General Value Iteration Formulation.一般值迭代公式下零和博弈的稳定性与可容许性分析
IEEE Trans Neural Netw Learn Syst. 2023 Nov;34(11):8707-8718. doi: 10.1109/TNNLS.2022.3152268. Epub 2023 Oct 27.
3
Offline and Online Adaptive Critic Control Designs With Stability Guarantee Through Value Iteration.通过值迭代实现具有稳定性保证的离线和在线自适应评判控制设计
IEEE Trans Cybern. 2022 Dec;52(12):13262-13274. doi: 10.1109/TCYB.2021.3107801. Epub 2022 Nov 18.
4
Policy Approximation in Policy Iteration Approximate Dynamic Programming for Discrete-Time Nonlinear Systems.离散时间非线性系统的策略迭代近似动态规划中的策略近似
IEEE Trans Neural Netw Learn Syst. 2018 Jul;29(7):2794-2807. doi: 10.1109/TNNLS.2017.2702566. Epub 2017 Jun 6.
5
Discrete-Time Optimal Control via Local Policy Iteration Adaptive Dynamic Programming.基于局部策略迭代自适应动态规划的离散时间最优控制。
IEEE Trans Cybern. 2017 Oct;47(10):3367-3379. doi: 10.1109/TCYB.2016.2586082. Epub 2016 Jul 18.
6
System Stability of Learning-Based Linear Optimal Control With General Discounted Value Iteration.基于广义折扣值迭代的基于学习的线性最优控制的系统稳定性
IEEE Trans Neural Netw Learn Syst. 2023 Sep;34(9):6504-6514. doi: 10.1109/TNNLS.2021.3137524. Epub 2023 Sep 1.
7
Policy Iteration-Based Learning Design for Linear Continuous-Time Systems Under Initial Stabilizing OPFB Policy.基于策略迭代的初始稳定输出反馈镇定策略下线性连续时间系统学习设计
IEEE Trans Cybern. 2024 Nov;54(11):6707-6718. doi: 10.1109/TCYB.2024.3418190. Epub 2024 Oct 30.
8
Infinite horizon self-learning optimal control of nonaffine discrete-time nonlinear systems.非仿射离散时间非线性系统的无限时域自学习最优控制。
IEEE Trans Neural Netw Learn Syst. 2015 Apr;26(4):866-79. doi: 10.1109/TNNLS.2015.2401334. Epub 2015 Mar 2.
9
Error bounds of adaptive dynamic programming algorithms for solving undiscounted optimal control problems.自适应动态规划算法求解非折扣最优控制问题的误差界。
IEEE Trans Neural Netw Learn Syst. 2015 Jun;26(6):1323-34. doi: 10.1109/TNNLS.2015.2402203. Epub 2015 Mar 3.
10
Revisiting approximate dynamic programming and its convergence.重温近似动态规划及其收敛性。
IEEE Trans Cybern. 2014 Dec;44(12):2733-43. doi: 10.1109/TCYB.2014.2314612. Epub 2014 May 16.

引用本文的文献

1
A Time-efficient Multi-Protocol Probe Scheme for Fine-grain IoT Device Identification.
Sensors (Basel). 2020 Mar 27;20(7):1863. doi: 10.3390/s20071863.