.png){kind=icon}
返回
Integrated missile guidance and control using optimization-based predictive control
.png){kind=icon}
PRE
AI
DOI：10.1007/s11071-019-04835-8.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper focuses on the design and implementation of optimization-based predictive control for the problem of missile interception. Due to the inherent nonlinearities of the missile-target dynamics or even constraints, it is usually difficult to design a high-accuracy and high-efficiency control algorithm. A nonlinear receding horizon pseudospectral control (RHPC) scheme is constructed and applied to generate the optimal control command. The problem of state estimation, in the presence of measurement noise, is solved by implementing a moving horizon estimation (MHE) algorithm. Since the RHPC and MHE algorithms solve the online open-loop optimal control problem at each sampling instant, the computational cost associated with them can be high. In order to decrease the computational demand due to the optimization process, a recently proposed nonlinear programming sensitivity-based algorithm is used and embedded in the optimization framework. Numerical simulations and analysis are presented to demonstrate the effectiveness of the proposed control scheme.
Keyword:
Predictive control
Optimal control
Moving horizon estimation
Optimization
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6
论文数:
1.4W
被引数:
4.1W
机构
引用论文
Near-Optimal Tracking Control of Mobile Robots Via Receding-Horizon Dual Heuristic Programming基于后退-地平线对偶启发式规划的移动机器人近最优跟踪控制
PREAI
分享收藏Single-cell mapping identifies MSI+ cells as a common origin for diverse subtypes of pancreatic cancer.png)
Cancer Cell
OAAI
Cancer CellIF0
OAAI分享收藏
查看更多内容