Results 71 to 80 of about 475,550 (200)
Extremum Seeking-based Iterative Learning Linear MPC
, 2014 In this work we study the problem of adaptive MPC for linear time-invariant uncertain models. We assume linear models with parametric uncertainties, and propose an iterative multi-variable extremum seeking (MES)-based learning MPC algorithm to learn on ...
Benosman, Mouhacine +2 more
core +1 more source
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems [PDF]
, 2020 Learning-based control algorithms require data collection with abundant supervision for training. Safe exploration algorithms ensure the safety of this data collection process even when only partial knowledge is available.
Anandkumar, Anima +5 more
core +1 more source
Density control in ITER: an iterative learning control and robust control approach
Nuclear Fusion, 2017 Plasma density control for next generation tokamaks, such as ITER, is challenging because of multiple reasons. The response of the usual gas valve actuators in future, larger fusion devices, might be too slow for feedback control. Both pellet fuelling and the use of feedforward-based control may help to solve this problem.
T. Ravensbergen +5 more
openaire +2 more sources
Applied SciencesTo address the tracking control problem of the periodic motion fast tool servo system (FTS), we propose a control method that combines adaptive sliding mode control with closed-loop iterative learning control.
Xiuying Xu +5 more
doaj +1 more source
Discrete PID-Type Iterative Learning Control for Mobile Robot
Journal of Control Science and Engineering, 2016 Through studying tracking problems of the wheeled mobile robot, this paper proposed a discrete iterative learning control approach based on PID with strong adaptability, fast convergence, and small error.
Hongbin Wang, Jian Dong, Yueling Wang
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Accelerated Iterative Learning Control of Speed Ripple Suppression for a Seeker Servo Motor
Algorithms, 2018 To suppress the speed ripple of a permanent magnet synchronous motor in a seeker servo system, we propose an accelerated iterative learning control with an adjustable learning interval.
Dongqi Ma, Hui Lin
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IEEE Access, 2019 In this paper, we propose an error-tracking iterative learning control scheme to tackle the position tracking problem for robot manipulators with random initial errors and iteration-varying reference trajectories.
Qiuzhen Yan +3 more
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Journal of Applied Mathematics, 2014 A data-driven predictive terminal iterative learning control (DDPTILC) approach is proposed for discrete-time nonlinear systems with terminal tracking tasks, where only the terminal output tracking error instead of entire output trajectory tracking error
Shangtai Jin, Zhongsheng Hou, Ronghu Chi
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Advances in Difference Equations, 2019 For discrete-time iterative learning control systems, the discrete Fourier transform (DFT) is a powerful technique for frequency analysis, and Toeplitz matrices are a typical tool for the system input–output transmission.
Xiaohui Li, Xiaoe Ruan
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Iterative Learning Tracking Control of a Hybrid-Driven Based Three-Cable Parallel Manipulator
Advances in Mechanical Engineering, 2014 The aim of this work was to present iterative learning tracking control of a hybrid-driven based three-cable parallel manipulator (HDCPM). The HDCPM has the advantages of both cable parallel manipulator and hybrid-driven planar five-bar mechanism. Design
Bin Zi, Jianbin Cao, Sen Qian
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