Recent Research in Cooperative Control of Multi-Vehicle Systems
Richard M. Murray
Submitted, ASME Journal of Dynamic Systems, Measurement, and Control
Special issue on the "Analysis and Control of Multi Agent Dynamic Systems"
Abstract
This paper presents a survey of recent research in cooperative control of multi-vehicle systems, using a common mathematical framework to allow different methods to be compared to each other. The survey has three primary parts: an overview of current applications of cooperative control, an summary of some of the key technical approaches that have been explored, and a description of some possible future directions for research. The articles that are used as a basis for this survey have been chosen in part based on their citation frequency and hence represent some of the seminal papers in the field.
Note: this page contains links to most (hopefully all) of the papers used for the review and is intended as a working document for the preparation of the article. A copy of the submitted version of the article will be posted here when it is available.
Introduction
Applications Overview
Technology Overview
MILP
- Co-ordination and Control of Multiple UAVs, A. Richards, J. Bellingham, M. Tillerson and J. How. AIAA Guidance, Navigation, and Control Conference and Exhibit, 2002. 59 citations
- Task allocation and motion planning using the MILP framework
- Multi-Vehicle Cooperative Control Using Mixed Integer Linear Programming, M. G. Earl and R. D'Andrea. Submitted, IEEE Transactions on Automatica Control, 2005. Available via arXiv:cs.RO/0501092. 6 citations.
- Centralized solution to N-on-M game using MILP. Good references.
- Reference this paper along with J. How work.
