机构

• 自动化研究所 [4]
• 长春光学精密机械与物... [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [4]
• 会议论文 [1]

发表日期

• 2022 [1]
• 2020 [1]
• 2018 [1]
• 2011 [1]
• 2009 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Self-Learning Robust Control Synthesis and Trajectory Tracking of Uncertain Dynamics 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 1, 页码: 278-286 作者:  Wang, Ding;  Cheng, Long;  Yan, Jun   |  收藏  |  浏览/下载：39/0  |  提交时间：2022/03/17 Robust control  Optimal control  Cost function  Trajectory tracking  Nonlinear systems  Feedback control  Dynamical systems  Adaptive critic learning  control synthesis  neural networks  optimization  robust stabilization  tracking design   ESO-based controller with model predictive governor for 3D trajectory tracking of underactuated underwater vehicles 期刊论文  OAI收割 IEEE Transactions on Industrial Informatics, 2020, 期号: 17, 页码: 6114-6124 作者:  Kong SH(孔诗涵)   |  收藏  |  浏览/下载：12/0  |  提交时间：2021/06/21 Underactuated underwater vehicle  model predictive control  robust control  3D trajectory tracking  extended state observer   Adaptive-Critic-Based Robust Trajectory Tracking of Uncertain Dynamics and Its Application to a Spring-Mass-Damper System 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 卷号: 65, 期号: 1, 页码: 654-663 作者:  Wang, Ding;  Mu, Chaoxu   |  收藏  |  浏览/下载：42/0  |  提交时间：2019/12/16 Adaptive critic design  neural networks  optimal control  robust trajectory tracking  self-learning control  system uncertainty   Reentry guidance based on feedback linearization (EI CONFERENCE) 会议论文  OAI收割 2011 International Conference on Electronics, Communications and Control, ICECC 2011, September 9, 2011 - September 11, 2011, Ningbo, China Li D.-W. 收藏  |  浏览/下载：28/0  |  提交时间：2013/03/25 This paper presents a new reentry guidance algorithm for RLV (Reusable Launching Vehicle). The algorithm consists of two integrated components: trajectory planning algorithm and tracking algorithm. The most striking feature of algorithm here lies in that both planning and tracking are executed directly in height-velocity space  which is different from the methodology of configuration of drag in traditional shuttle guidance. In the session of trajectory planning  all trajectory constraints can be expressed with upper bound and lower bound in height-velocity space  then a linear interpolation is carried to search the nominal trajectory satisfying the requirement of downrange and target constraints. Then the tracking algorithm uses feedback linearization method to track this nominal profile and meet all constraints. Another typical feature of this algorithm is the strategy of downrange extension using FPA (flight path angle) controller to fulfill the requirement of large downrange. Proper combination of planning-tracking algorithm and FPA controller can bring great flexibility and adaptability to reentry guidance. The algorithm is proved to be robust enough to accommodate the model error and noises in the dynamics. 2011 IEEE.   Trajectory Tracking Control of Omnidirectional Wheeled Mobile Manipulators: Robust Neural Network-Based Sliding Mode Approach 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2009, 卷号: 39, 期号: 3, 页码: 788-799 作者:  Xu, Dong;  Zhao, Dongbin;  Yi, Jianqiang;  Tan, Xiangmin 收藏  |  浏览/下载：26/0  |  提交时间：2015/08/12 Omnidirectional mobile manipulators  robust neural network (NN)  sliding mode control (SMC)  trajectory tracking control  uncertainties