Distributed Output Feedback Tracking Control of Multi-agent Systems
Abstract
References
Recommendations
Adaptive output feedback tracking control for a class of uncertain nonlinear systems using neural networks
This correspondence addresses the problem of designing robust tracking control for a class of uncertain nonlinear MIMO second-order systems. An adaptive neural-network-based output feedback tracking controller is constructed such that all the states and ...
Distributed adaptive consensus tracking for a class of multi-agent systems via output feedback approach under switching topologies
The consensus tracking problem is discussed for a class of multi-agent systems (MASs) in non-affine pure-feedback form via output feedback approach under switching directed topologies. Observers are employed to reconstruct state information of the ...
Adaptive neural networks output feedback dynamic surface control design for MIMO pure-feedback nonlinear systems with hysteresis
An adaptive neural networks (NNs) output feedback tracking control approach is proposed for a class of multi-input and multi-output (MIMO) pure-feedback nonlinear systems with unknown backlash-like hysteresis and immeasurable states. Radial basis ...
Comments
Information & Contributors
Information
Published In

In-Cooperation
- Macquarie U., Austarlia
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
- National Nature Science Foundation
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 48Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in