Error tracking control for underactuated overhead cranes against arbitrary initial payload swing angles
Sign Up to like & getrecommendations! Published in 2017 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2016.07.028
Abstract: Abstract This paper exploits an error tracking control method for overhead crane systems for which the error trajectories for the trolley and the payload swing can be pre-specified. The proposed method does not require that… read more here.
Keywords: initial payload; error tracking; payload swing; tracking control ... See more keywords
Error-Tracking Iterative Learning Control for Nonlinearly Parametric Time-Delay Systems With Initial State Errors
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2797099
Abstract: In this paper, an error-tracking iterative learning control scheme is proposed for a class of nonlinearly parametric time-delay systems with initial state errors. The iterative learning controller is developed by Lyapunov approach. With a desired… read more here.
Keywords: nonlinearly parametric; control; time; iterative learning ... See more keywords
Zero-Error Tracking Control Under Unified Quantized Iterative Learning Framework via Encoding-Decoding Method.
Sign Up to like & getrecommendations! Published in 2020 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2020.3004187
Abstract: This article considers the zero-error tracking problem of quantized iterative learning control for a general networked structure where the data are quantized and transmitted through limited communication channels at both measurement and actuator sides. An… read more here.
Keywords: quantized iterative; encoding decoding; zero error; iterative learning ... See more keywords
Neural AILC for Error Tracking Against Arbitrary Initial Shifts
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2017.2698507
Abstract: This paper concerns with the adaptive iterative learning control using neural networks for systems performing repetitive tasks over a finite time interval. Two standing issues of such iterative learning control processes are addressed: one is… read more here.
Keywords: error; initial shifts; arbitrary initial; error tracking ... See more keywords