Robust tracking control of a unicycle-type wheeled mobile manipulator using a hybrid sliding mode fuzzy neural network

DOI10.1080/00207721.2010.502597zbMath1258.93080OpenAlexW2160468227MaRDI QIDQ4911076

Wu-Chung Su, Ching-Chih Tsai, Meng-Bi Cheng

Publication date: 13 March 2013

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2010.502597

zbMATH Keywords

backsteppingsliding mode controlfuzzy neural networkwheeled mobile manipulator

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Fuzzy control/observation systems (93C42) Automated systems (robots, etc.) in control theory (93C85) Minimal systems representations (93B20) Variable structure systems (93B12)

Related Items (6)

Adaptive fuzzy fault-tolerant output feedback control of uncertain nonlinear systems with actuator faults ⋮ Adaptive recurrent neural network control of uncertain constrained nonholonomic mobile manipulators ⋮ Adaptive fuzzy decentralised fault-tolerant control for nonlinear large-scale systems with actuator failures and unmodelled dynamics ⋮ Robust trajectory tracking: differential game/cheap control approach ⋮ Sliding-mode and proportional-derivative-type motion control with radial basis function neural network based estimators for wheeled vehicles ⋮ A fuzzy record-to-record travel algorithm for solving rough set attribute reduction

Cites Work

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• A genetic approach to motion planning of redundant mobile manipulator systems considering safety and configuration
• Discrete-time fuzzy logic control of a mobile robot with an onboard manipulator
• Stable adaptive neural control scheme for nonlinear systems
• On-line genetic algorithm-based fuzzy-neural sliding mode controller using improved adaptive bound reduced-form genetic algorithm

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