Results 21 to 30 of about 475,550 (200)
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions [PDF]
, 2020 Sample-based learning model predictive control (LMPC) strategies have recently attracted attention due to their desirable theoretical properties and their good empirical performance on robotic tasks.
Ames, Aaron +5 more
core +2 more sources
IEEE Access, 2020 In this paper, a novel neural network-based error-track iterative learning control scheme is proposed to tackle trajectory tracking problem for tank gun control systems.
Qiyao Yang +4 more
doaj +1 more source
A Novel Iterative Second-Order Neural-Network Learning Control Approach for Robotic Manipulators
IEEE Access, 2023 Iterative Learning Control (ILC) is known as a high-accuracy control strategy for repetitive control missions of mechatronic systems. However, applying such learning controllers for robotic manipulators to result in excellent control performances is now ...
Dang Xuan Ba +2 more
doaj +1 more source
Iterative Learning Applied to Hydraulic Pressure Control [PDF]
Modeling, Identification and Control, 2018 This paper addresses a performance limiting phenomenon that may occur in the pressure control of hydraulic actuators subjected to external velocity disturbances.
Petter H. Gøytil +2 more
doaj +1 more source
Development of Magnetically Levitated Rotary Table for Repetitive Trajectory Tracking
Sensors, 2022 The magnetic levitation system has been considered as a promising actuator in micromachining areas of study. In order to improve the tracking performance and disturbance rejection of the magnetically levitated rotary table, an iterative learning PID ...
Fengqiu Xu, Kaiyang Zhang, Xianze Xu
doaj +1 more source
IEEE Access, 2022 In this paper, a barrier adaptive iterative learning control scheme is proposed to solve the trajectory-tracking problem for tank gun control systems under nonzero initial error condition.
Zhimin Zhou +4 more
doaj +1 more source
International Islamic University Malaysia Engineering Journal, 2017 In this paper, iterative learning control (ILC) is combined with an optimal fractional order derivative (BBO-Da-type ILC) and optimal fractional and proportional-derivative (BBO-PDa-type ILC).
Iman Ghasemi +2 more
doaj +1 more source
Robust Stability of Iterative Learning Control Schemes [PDF]
, 2007 A notion of robust stability is developed for iterative learning control in the context of disturbance attenuation. The size of the unmodelled dynamics is captured via a gap distance, which in turn is related to the standard H2 gap metric, and the ...
French, Mark
core +1 more source
On equivalence classes in iterative learning control [PDF]
, 2003 This paper advocates a new approach to study the relation between causal iterative learning control (ILC) and conventional feedback control. Central to this approach is the introduction of the set of admissible pairs (of operators) defined with respect ...
Meinsma, Gjerrit +2 more
core +3 more sources
International Journal of Advanced Robotic Systems, 2019 An adaptive iterative learning control approach based on disturbance estimation has been developed for trajectory tracking of manipulators with uncertain parameters and external disturbances.
Keping Liu +3 more
doaj +1 more source