Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
405813 | Neurocomputing | 2016 | 8 Pages |
Abstract
The paper proposes a theory and an algorithm to characterize driver node (control node) of a complex network. The proposed algorithm identifies an appropriate driver node when multiple options are available to select a driver node. The method is based on concept of maximization of stability regions. A realistic situation where driver node has limited actuating capability is considered. The proposed control law considers actuator saturation a priori and also ensures a specified convergence rate. Formation control in robotic network and numeric examples are used to verify the theoretical developments.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Mahaveer Singh, Ram Niwash Mahia, Deepak M. Fulwani,