@inproceedings{435bc069a8e94e4bbc132e5610842a53,
title = "Constrained fuzzy stabilization for mobile robots with laser-range-finder localization",
abstract = "In this paper, the fuzzy position and posture stabilization for the differentially-driven wheeled mobile robot (WMR) with laser range finder (LRF) localization is investigated. The position and posture of the WMR are sensing by the LRF with inertial measurement unit (IMU). The position and posture stabilization is based on the Takagi-Sugeno (T-S) fuzzy model of the mobile robot represented in polar kinematics. The position and posture stabilization of the T-S fuzzy model based control design follows the Lyapunov stabilization method. Moreover, the constraint on the LRF-based localization is considered in the control design. Finally, the position and posture stabilization experiments are carried out on a mobile robot with LRF-based localization to prove the effectiveness of proposed T-S fuzzy model based control strategy.",
keywords = "fuzzy model based control, laser range finder, wheeled mobile robot",
author = "Sun, {Chung Hsun} and Hsuan Chen and Chen, {Hsiang Chieh}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 17th Joint World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, IFSA-SCIS 2017 ; Conference date: 27-06-2017 Through 30-06-2017",
year = "2017",
month = aug,
day = "30",
doi = "10.1109/IFSA-SCIS.2017.8023243",
language = "???core.languages.en_GB???",
series = "IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems",
}