Switching topology approach for UAV formation based on binary-tree network
From MaRDI portal
Publication:1717462
DOI10.1016/J.JFRANKLIN.2017.11.026zbMath1406.93222OpenAlexW2768671897MaRDI QIDQ1717462
Publication date: 6 February 2019
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.11.026
Feedback control (93B52) Nonlinear systems in control theory (93C10) Automated systems (robots, etc.) in control theory (93C85) Hierarchical systems (93A13) Transformations (93B17)
Related Items (7)
Fault detection and time-varying formation control for nonlinear multi-agent systems with Markov switching topology ⋮ Distributed optimal event‐triggered cooperative control for nonlinear multi‐missile guidance systems with partially unknown dynamics ⋮ Robust formation control for unmanned helicopters with collision avoidance ⋮ Finite-time switched LPV control of quadrotors with guaranteed performance ⋮ Time-varying group formation tracking control for second-order multi-agent systems with communication delays and multiple leaders ⋮ Adaptive output-feedback time-varying formation tracking control for multi-agent systems with switching directed networks ⋮ Consensus of multi-agent systems with both input amplitude and input rate constraints
Cites Work
- Three-dimensional distributed tracking control for multiple quadrotor helicopters
- Necessary and sufficient conditions for average formation tracking of second-order multi-agent systems with multiple leaders
- Cascade design for formation control of nonholonomic systems in chained form
- Quadcopter formation flight control combining MPC and robust feedback linearization
- Distributed tracking control of uncertain mechanical systems with velocity constraints
- Robust formation tracking control of mobile robots via one-to-one time-varying communication
- Growth rate conditions for uniform asymptotic stability of cascaded time-varying systems
This page was built for publication: Switching topology approach for UAV formation based on binary-tree network
