Adaptive neuro-fuzzy technique for non-linear control of autonomous ground police robot (Record no. 14210)
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| 100 ## - MAIN ENTRY--AUTHOR | |
|---|---|
| Author Name | Noor, Hasham (131132) |
| 245 ## - TITLE STATEMENT | |
| Title | Adaptive neuro-fuzzy technique for non-linear control of autonomous ground police robot |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of Publication | Islamabad |
| Name of publisher, distributor, etc. | Departmnet of Electrical Engineering ( Air University Main Campus) |
| Date of publication, distribution, etc. | 2016. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | xi; 43 p. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Student Project |
| 100 ## - MAIN ENTRY--AUTHOR | |
| -- | 2118 |
| 520 ## - | |
| -- | Mobile robots have always been a greatest interest from past to present era. With the modern techniques and rapid development, artificial intelligence is sought to be a successive point for whole world. In this regard, Autonomous Ground Vehicle (AGV) plays a key role. It plays a vital role in industry automation and in different applications such as monitoring, transportation and many other applications. Research on AGV has attracted so much attention in recent years for that; they are used in wide range of applications. The key problem area for AGV is it’s handling of navigation, path planning and obstacle avoidance. Conventional controller is designed to make AGV work efficiently and without any issue. But due to its highly nonlinear nature, navigation and path planning issues were never overcome truly. To address these issues, a control scheme supervised by Fuzzy controller is used. Fuzzy inference system has a control methodology based on fuzzy input and controlled output and issue of nonlinear nature is addressed properly. The proposed controller is implemented in MATLAB Simulink. Simulation results show that performance of AGV with fuzzy based controller is superb and with very high tracking accuracy. The ability of proposed controller to handle its nonlinear nature and to maintain its problem area under environmental elements testifies its robustness. |
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| -- | MSEE |
| Withdrawn status | Not for loan | Permanent Location | Current Location | Shelving Location | Date acquired | Full Call Number | Accession No./Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Weeded Out { Not Available } | Air University Central Library Thesis Repository (5th Floor) | Air University Central Library Thesis Repository (5th Floor) | Electrical Engineering | 01/03/2018 | 620 NOO MS | TH1141 | 01/03/2018 | Thesis |