An adaptive PID learning control of robot manipulators

DOI10.1016/S0005-1098(99)00198-3zbMath0973.93011OpenAlexW2057915709WikidataQ56420602 ScholiaQ56420602MaRDI QIDQ1974005

Woong-Gie Han, Tae-Yong Kuc

Publication date: 29 November 2001

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0005-1098(99)00198-3

zbMATH Keywords

adaptive PID learning controlfeedforward input learning schemeperiodic robot motion

Mathematics Subject Classification ID

Design techniques (robust design, computer-aided design, etc.) (93B51) Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85)

Related Items (11)

Iterative learning of model reference adaptive controller for uncertain nonlinear systems with only output measurement ⋮ Practical adaptive iterative learning control framework based on robust adaptive approach ⋮ Adaptive iterative learning control for nonlinear pure-feedback systems with initial state error based on fuzzy approximation ⋮ Robust adaptive PID controller for a class of uncertain nonlinear systems: an application for speed tracking control of an SI engine ⋮ PID based on attractive ellipsoid method for dynamic uncertain and external disturbances rejection in mechanical systems ⋮ Optimum fuzzy combination of robust decoupled sliding mode and adaptive feedback linearization controllers for uncertain under-actuated nonlinear systems ⋮ Further results on adaptive iterative learning control of robot manipulators ⋮ A global adaptive learning control for robotic manipulators ⋮ Global continuous finite-time tracking of robot manipulators ⋮ Global adaptive learning control of robotic manipulators by output error feedback ⋮ Fractional data-driven model for stabilization of uncertain discrete-time nonlinear systems

Cites Work

• An iterative learning control theory for a class of nonlinear dynamic systems
• Iterative learning control in feedback systems
• A new adaptive learning rule
• Linear learning control of robot motion
• On the P-type learning control
• Adaptive learning control of uncertain robotic systems

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