A new consensus-based formation tracking scheme for a class of robotic systems using negative imaginary property. Issue 1 (2022)
- Record Type:
- Journal Article
- Title:
- A new consensus-based formation tracking scheme for a class of robotic systems using negative imaginary property. Issue 1 (2022)
- Main Title:
- A new consensus-based formation tracking scheme for a class of robotic systems using negative imaginary property
- Authors:
- Bhowmick, Parijat
Ganguly, Arijit
Sen, Sawan - Abstract:
- Abstract: This brief proposes a consensus-based formation tracking scheme for multi-robot systems utilising the Negative Imaginary (NI) theory. The proposed scheme applies to a class of networked robotic systems that can be modelled as a group of single integrator agents with stable uncertainties connected via an undirected graph. NI/SNI property of networked agents facilitates the design of a distributed Strictly Negative Imaginary (SNI) controller to achieve the desired formation tracking. A new theoretical proof of asymptotic convergence of the formation tracking trajectories is derived based on the integral controllability of networked NI/SNI systems. The proposed scheme is an alternative to the conventional Lyapunov-based formation tracking schemes. It offers robustness to NI/SNI-type model uncertainties and fault-tolerance to a sudden loss of robots due to hardware/communication fault. The feasibility and usefulness of the proposed formation tracking scheme were validated by lab-based real-time hardware experiments involving miniature, two-wheeled mobile robots.
- Is Part Of:
- IFAC-PapersOnLine. Volume 55:Issue 1(2022)
- Journal:
- IFAC-PapersOnLine
- Issue:
- Volume 55:Issue 1(2022)
- Issue Display:
- Volume 55, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 55
- Issue:
- 1
- Issue Sort Value:
- 2022-0055-0001-0000
- Page Start:
- 685
- Page End:
- 690
- Publication Date:
- 2022
- Subjects:
- Negative imaginary systems -- Integral controllability -- Eigenvalue loci -- Formation tracking -- Multi-robot systems -- Fault-tolerance
Automatic control -- Periodicals
629.805 - Journal URLs:
- https://www.journals.elsevier.com/ifac-papersonline/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.ifacol.2022.04.112 ↗
- Languages:
- English
- ISSNs:
- 2405-8963
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21561.xml