Distributed finite-time adaptive consensus tracking control for multiple AUVs with state constraints

DOI10.1016/j.jfranklin.2021.09.022zbMath1478.93596OpenAlexW3202634021MaRDI QIDQ2058010

Jingzi Fan, Lin Zhao

Publication date: 7 December 2021

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2021.09.022

zbMATH Keywords

consensus tracking controlbarrier Lyapunov functionfinite-time command filtered backstepping controlmultiple autonomous underwater vehicles

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85) Multi-agent systems (93A16) Consensus (93D50) Finite-time stability (93D40)

Related Items (3)

Distributed adaptive control for multiple unmanned aerial vehicles with state constraints and input quantization ⋮ Practical finite-time command filtered backstepping control of MPCVD reactor systems with uncertainties ⋮ Adaptive actor‐critic neural optimal control for constrained nonstrict feedback nonlinear systems via command filter

Cites Work

• Guaranteed performance design for distributed bounded containment control of networked uncertain underactuated surface vessels
• Distributed tracking control of leader-follower multi-agent systems under noisy measurement
• Distributed finite-time fault-tolerant containment control for multiple ocean bottom flying nodes
• Barrier Lyapunov functions-based command filtered output feedback control for full-state constrained nonlinear systems
• Adaptive-observer-based formation tracking of networked uncertain underactuated surface vessels with connectivity preservation and collision avoidance
• Finite-time consensus and collision avoidance control algorithms for multiple AUVs
• Control of nonlinear systems with partial state constraints using a barrier Lyapunov function
• Higher-order sliding modes, differentiation and output-feedback control
• A continuous feedback approach to global strong stabilization of nonlinear systems
• Command Filtered Backstepping

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