國立虎尾科技大學 |

Applied Guidance Methodologies for Off-road Vehicles

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Applied Guidance Methodologies for Off-road Vehicles/ by Javad Taghia, Jayantha Katupitiya.
作者:	Taghia, Javad.
其他作者:	Katupitiya, Jayantha.
面頁冊數:	XIV, 137 p. 65 illus., 45 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-42359-9
ISBN:	9783030423599

Applied Guidance Methodologies for Off-road Vehicles
Taghia, Javad.

Applied Guidance Methodologies for Off-road Vehicles[electronic resource] /by Javad Taghia, Jayantha Katupitiya. - 1st ed. 2020. - XIV, 137 p. 65 illus., 45 illus. in color.online resource. - Springer Tracts in Advanced Robotics,1381610-7438 ;. - Springer Tracts in Advanced Robotics,105.

Introduction -- Modelling Vehicle Systems -- Offset Models of Vehicles -- Design of Controllers -- Implementation of Controllers -- Conclusion.

This book provides methodologies for designing and implementing guidance algorithms for autonomous vehicles. These algorithms make important decision regarding how to steer and drive a ground vehicle in order to safely stay on an intended path, thereby making the vehicle driverless. The design tools provided in this book enable the reader to develop highly practical and real-world implementable guidance algorithms that will deliver high-accuracy driving for field vehicles. (They are equally applicable for on-road vehicles.) The book covers a variety of vehicle types, including wheeled vehicles, tracked vehicles, wheeled and tracked vehicles towing trailers, and four-wheel-steer and four-wheel-drive vehicles. It also covers active trailers that are driven and steered. Vehicles used in agriculture, mining and road construction are subjected to unpredictable and significant disturbances. The robust control methodologies presented can successfully compensate for these disturbances, as confirmed by the experimental results presented. Though the majority of the methodologies presented are based on sliding-mode controllers, other robust control methodologies are also discussed. To help the reader decide which controller is best suited for his/her choice of vehicle, experimental results are presented in a comparative format. .

ISBN: 9783030423599

Standard No.: 10.1007/978-3-030-42359-9doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: TJ210.2-211.495

Dewey Class. No.: 629.892

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