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Open AccessArticle

Forecast for Artificial Muscle Tremor Behavior Based on Dynamic Additional Grey Catastrophe Prediction

1
Institute of Intelligent Manufacturing and Robotics, College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China
2
Department of Decision Science, School of Business, Macau University of Science and Technology, Macau 999078, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2018, 8(2), 315; https://doi.org/10.3390/app8020315
Received: 24 January 2018 / Revised: 14 February 2018 / Accepted: 16 February 2018 / Published: 24 February 2018
(This article belongs to the Section Materials)
Recently, bio-inspired artificial muscles based on ionic polymers have shown a bright perspective in engineering and medical research, but the inherent tremor behavior can cause instability of output response. In this paper, dynamic additional grey catastrophe prediction (DAGCP) is proposed to forecast the occurrence time of tremor behavior, providing adequate preparation time for the suppression of the chitosan-based artificial muscles. DAGCP constructs various dimensions of time subsequence models under different starting points based on the threshold of tremor occurrence times and peak-to-peak values in unit time. Next, the appropriate subsequence is selected according to grey correlation degree and prediction accuracy, then it is updated with the newly generated values to achieve a real-time forecast of forthcoming tremor time. Compared with conventional grey catastrophe prediction (GCP), the proposed method has the following advantages: (1) the degradation of prediction accuracy caused by the immobilization of original parameters is prevented; (2) the dynamic input, real-time update and gradual forecast of time sequence are incorporated into the model. The experiment results show that the novel DAGCP can predict forthcoming tremor time earlier and more accurately than the conventional GCP. The generation mechanism of tremor behavior is illustrated as well. View Full-Text
Keywords: artificial muscle; dynamic additional grey catastrophe prediction; tremor behavior; occurrence time artificial muscle; dynamic additional grey catastrophe prediction; tremor behavior; occurrence time
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MDPI and ACS Style

Fu, Y.; Yao, J.; Zhao, H.; Zhao, G.; Wan, Z. Forecast for Artificial Muscle Tremor Behavior Based on Dynamic Additional Grey Catastrophe Prediction. Appl. Sci. 2018, 8, 315. https://doi.org/10.3390/app8020315

AMA Style

Fu Y, Yao J, Zhao H, Zhao G, Wan Z. Forecast for Artificial Muscle Tremor Behavior Based on Dynamic Additional Grey Catastrophe Prediction. Applied Sciences. 2018; 8(2):315. https://doi.org/10.3390/app8020315

Chicago/Turabian Style

Fu, Yu; Yao, Jianjun; Zhao, Honghao; Zhao, Gang; Wan, Zhenshuai. 2018. "Forecast for Artificial Muscle Tremor Behavior Based on Dynamic Additional Grey Catastrophe Prediction" Appl. Sci. 8, no. 2: 315. https://doi.org/10.3390/app8020315

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