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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xing Shaomin Guan Xinping Luo Xiaoyuan |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Electrical Engineering, Yanshan University, Qinhuangdao, 066004, China (Xing Shaomin; Guan Xinping; Luo Xiaoyuan) |
| Abstract | This paper proposes an optimal obstacle avoidance and trajectory tracking method based on data-driven control algorithm. While an agent avoids obstacles, researchers always consider how to avoid the obstacles, but not consider how to avoid the obstacles in the minimum time, and how to achieve the optimal avoidance control. The major of the paper is to utilize the data-driven control method to design the trajectory tracking controller and to look for the optimal obstacle avoidance path of the mobile agent. In order to realize the data-driven control, the unfalsified control theory is introduced. The unfalsified control only uses the datum obtains the optimal controller parameters. The simulation results demonstrate the effectiveness of proposed approach. |
| Starting Page | 4619 |
| Ending Page | 4623 |
| File Size | 393974 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424462636 |
| e-ISBN | 9787894631046 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Chinese Association of Aut |
| Subject Keyword | Simulation Mobile agents Data-driven Algorithm Mobile communication Trajectory Control theory Sensors Unfalsified Control Theory Mobile Agent Robots Optimal Obstacle Avoidance |
| Content Type | Text |
| Resource Type | Article |
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