Adaptive fuzzy synchronization control for networked teleoperation system with input and multi-state constraints

DOI10.1016/J.JFRANKLIN.2016.04.009zbMath1347.93158OpenAlexW2404218131MaRDI QIDQ326160

Yana Yang, Xin-Ping Guan, Chang-Chun Hua

Publication date: 12 October 2016

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

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2016.04.009

zbMATH Keywords

barrier Lyapunov functions (BLF)fuzzy logic system (FLS)input and multi-state constraintsnetworked teleoperation system

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85)

Related Items (9)

Observer-based adaptive fuzzy control of a class of MIMO non-strict feedback nonlinear systems ⋮ Safety-enhanced observer-based adaptive fuzzy synchronization control framework for teleoperation systems ⋮ Hierarchical predefined‐time control of teleoperation systems with state and communication constraints ⋮ Finite-time output-feedback control for teleoperation systems subject to mismatched term and state constraints ⋮ Neural network adaptive control design for robot manipulators under velocity constraints ⋮ Optimal control in teleoperation systems with time delay: a singular perturbation approach ⋮ Force feedback control for bilateral teleoperation system with unknown Prandtl-Ishlinskii hysteresis ⋮ Global fixed-time synchronization of chaotic systems with different dimensions ⋮ Adaptive control of teleoperation systems with prescribed tracking performance: a BLF-based approach

Cites Work

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