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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chih-Lyang Hwang Chin-Yuan Shih |
| Copyright Year | 1982 |
| Abstract | The navigation for a car-like wheeled robot (CLWR) in a distributed active-vision network-space system (DAVNSS) subject to three fuzzy variable-structure decentralized controls (FVSDCs) is developed. The scheme also includes trajectory tracking and obstacle avoidance. Two distributed wireless charge-coupled-device (CCD) cameras individually driven by two stepping motors, viz., active CCD1 and active CCD2 (or simply ACCD1 and ACCD2), are constructed to capture the dynamic pose of the CLWR and the obstacle. The proposed control system includes quad processors with multiple sampling rates. First, a personal computer (PC) is employed to receive the image of the CLWR or obstacle from ACCD1 or ACCD2 by a wireless transmitter and then to plan three reference commands for CLWR, ACCD1, and ACCD2. Next, a six-step image-processing routine and the calibration between the world coordinate and the image plane coordinate using multilayer perceptrons (MLPs) are established. Finally, experiments are performed to validate the proposed control system. |
| Sponsorship | IEEE Industrial Electronics Society |
| Starting Page | 846 |
| Ending Page | 855 |
| Page Count | 10 |
| File Size | 1500790 |
| File Format | |
| ISSN | 02780046 |
| Volume Number | 56 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Navigation Mobile robots Robot kinematics Control systems Fuzzy control Fuzzy systems Distributed control Trajectory Charge coupled devices Robot vision systems trajectory tracking Car-like wheeled robot (CLWR) distributed active-vision network space fuzzy variable-structure decentralized control (FVSDC) multiprocessor navigation obstacle avoidance |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications |
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