Predesignated fault-tolerant formation tracking quality for networked uncertain nonholonomic mobile robots in the presence of multiple faults

DOI10.1016/J.AUTOMATICA.2016.09.011zbMath1355.93060OpenAlexW2569044767MaRDI QIDQ510156

Sung Jin Yoo, Tae-Hyoung Kim

Publication date: 16 February 2017

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2016.09.011

zbMATH Keywords

networked mobile robotsactuator and system faultsfault-tolerant formation tracking (FTFT)predesignated tracking quality

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Automated systems (robots, etc.) in control theory (93C85) Decentralized systems (93A14) Robot dynamics and control of rigid bodies (70E60)

Related Items (9)

Distributed formation control for multiple non-holonomic wheeled mobile robots with velocity constraint by using improved data-driven iterative learning ⋮ Distributed adaptive formation tracking using quantized feedback communication for networked mobile robots with unknown wheel slippage ⋮ Dual heuristic programming with just‐in‐time modeling for self‐learning fault‐tolerant control of mobile robots ⋮ Fault tolerant consensus of multiple nonholonomic chained‐form systems with actuator and communication faults ⋮ Adaptive fault-tolerant formation tracking control of networked mobile robots with input delays ⋮ Connectivity preservation and collision avoidance in networked nonholonomic multi-robot formation systems: unified error transformation strategy ⋮ Simplified global fault accommodation control design of uncertain nonlinear systems with unknown time-varying powers ⋮ Adaptive flexible performance function approach for dynamic obstacle avoidance to distributed formation tracking of range-constrained switched nonlinear multiagent systems ⋮ Connectivity-preserving-based distributed adaptive asymptotically synchronised tracking of networked uncertain nonholonomic mobile robots with actuator failures and unknown control directions

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