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A Fuzzy Approach to Discrete and Continuous Optimizations in Path Planning

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

This paper outlines a fuzzy formulation and its solutions for a path-planning problem. In this fuzzy approach, a workspace can be either a finite or infinite collection of discrete points with each representing a fuzzy set. The path-planning problem is formulated as a fuzzy optimization problem where the cost to be minimize representing the length of the path connecting two fuzzy sets representing the source and destination. There are two approaches to treating obstacles: formulating the fuzzy membership function of the fuzzy sets representing the area occupied by obstacles into the constraints, and formulating the fuzzy cost function with stiff penalty in using these fuzzy sets representing the area occupied by obstacles. Solutions are derived and numerical simulations are presented to verify the theoretical results. © 2003 IEEE
Original languageEnglish
Title of host publicationProceedings of the 2003 IEEE International Symposium on Intelligent Control
PublisherIEEE
Pages216-222
ISBN (Print)0-7803-7891-1
DOIs
Publication statusPublished - Oct 2003
Event2003 IEEE International Symposium on Intelligent Control - Houston, United States
Duration: 5 Oct 20038 Oct 2003

Publication series

Name
ISSN (Print)2158-9860

Conference

Conference2003 IEEE International Symposium on Intelligent Control
PlaceUnited States
CityHouston
Period5/10/038/10/03

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