Title
A control-design-based solution to robotic ecology: Autonomy of achieving cooperative behavior from a high-level astronaut command
Abbreviated Journal Title
Auton. Robot.
Keywords
cooperative control; consensus problem; multiple dynamical systems; time-varying communication networks; stability analysis; MOBILE; STRATEGIES; AGENTS; Computer Science, Artificial Intelligence; Robotics
Abstract
In this paper, we propose a cooperative control strategy for a group of robotic vehicles to achieve the specified task issued from a high-level astronaut command. The problem is mathematically formulated as designing the cooperative control for a general class of multiple-input-multiple-output (MIMO) dynamical systems in canonical form with arbitrary but finite relative degrees such that the outputs of the overall system converge to the explicitly given steady state. The proposed cooperative control for individual vehicle only need to use the sensed and communicated outputs information from its local neighboring vehicles. No fixed leader and time-invariant communication networks are assumed among vehicles. Particularly, a set of less-restrictive conditions on the connectivity of the sensor/communication networks are established, under which it is rigorously proven by using the newly found nice properties of the convergence of sequences of row stochastic matrices that the cooperative objective of the overall system can be achieved. Simulation results for a group of vehicles achieving a target and surrounding a specified object in formation are provided to support the proposed approach in this paper.
Journal Title
Autonomous Robots
Volume
20
Issue/Number
2
Publication Date
1-1-2006
Document Type
Article
Language
English
First Page
97
Last Page
112
WOS Identifier
ISSN
0929-5593
Recommended Citation
"A control-design-based solution to robotic ecology: Autonomy of achieving cooperative behavior from a high-level astronaut command" (2006). Faculty Bibliography 2000s. 4703.
https://stars.library.ucf.edu/facultybib2000/4703
Comments
Authors: contact us about adding a copy of your work at STARS@ucf.edu