Time-optimal feedback control of a non-holonomic vehicle using neural networks

Gu Fang, Gamini Dissanayake

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

3 Citations (Scopus)

Abstract

This paper presents a minimum-time feedback controller for maneuvering a non-holonomic vehicle. A trajectory planning algorithm that generates minimum-time trajectories for moving a vehicle from an arbitrary starting location to the origin is presented. Trajectories generated are used to train a neural network that computes instantaneous velocity and steering commands as a function of the current vehicle state. The proposed strategy is illustrated by developing a neural network based controller for backing up a truck. Computer simulations are presented that demonstrates the effectiveness of the proposed technique in the presence of disturbances.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002
Pages1458-1463
Number of pages6
Publication statusPublished - 2002
EventProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARC 2002 - Singapore, Singapore
Duration: 2 Dec 20025 Dec 2002

Publication series

NameProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002

Conference

ConferenceProceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARC 2002
Country/TerritorySingapore
CitySingapore
Period2/12/025/12/02

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