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第三十八届中国控制会议

作者： Shengnan Tian Min Wu Luefeng Chen Jinhua She Manli Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Engineering Tokyo University of Technology

ISBN: (纸本)9781728123295;9789881563972

This paper concerns robust stabilization for a class of nonlinear systems with uncertainties and disturbaces. The equivalent-input-disturbance(EID) approach is utilized to estimate the influence of nonlinearities and exogenous disturbances on the output of the system. A robust stability condition is derived in terms of linear matrix inequalities. Moreover, two parameters are used to tune the robustness of the system. Simulation results show that it is more effective to stabilize the system using the developed method than using the sliding-mode control(SMC) method.

关键词： Robust stabilization equivalent-input-disturbance nonlinear uncertain system disturbance linear matrix inequality(LMI)

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Application of digital lock-in amplifier in complex electromagnetic interference of substation

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Progress In Electromagnetics Research C 2020年 106卷 105-120页

作者： Song, Jiabing Song, Hengli Yang, Xuan Dong, Haobin School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

There is complex electromagnetic interference in the substation. In order to improve detection accuracy, a digital lock-in amplifier is used in the detection of the grounding grid. This paper introduces the principle of non-destructive testing of grounding grid based on electromagnetic method. Firstly, the distribution characteristics of surface magnetic induction intensity at different frequencies are obtained by CDEGS simulation. At the same time, it describes the principle and structure of an orthogonal vector type digital lock-in amplifier in detail. In order to realize the high-precision grounding grid detection system, the hardware circuit of the digital lock-in amplifier is designed by FPGA and analog-to-digital converter. The digital lock-in amplifier algorithm is implemented in the FPGA. Finally, the digital lock-in amplifier is tested. The test results show that when the signal-to-noise ratio of the signal to be tested is −20 dB, the signal amplitude measurement error is less than 3%. The designed digital lock-in amplifier is applied to the actual grounding grid detection, and the topology and corrosion of the grounding network can be detected. Therefore, the digital lock-in amplifier can be effectively applied to non-destructive testing of grounding grid. © 2020, Electromagnetics Academy. All rights reserved.

关键词： Signal interference

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Weak-value technique for detecting weak magnetic field based on Faraday magneto-optic effect

arXiv

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arXiv 2021年

作者： Huang, Jing-Hui Duan, Xue-Ying Wang, Guang-Jun Hu, Xiang-Yun School of Institute of Geophysics and Geomatics China University of Geosciences Wuhan430074 China School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

We study the amplification of weak magnetic field with Weak-value technique based on Faraday magneto-optic effect. By using a different scheme to perform the Sagnac interferometer with the probe in momentum space, we have demonstrated the new weak measure protocol to detect the small weak magnetic field by amplifying the phase shift of Faraday magneto-optic effect. At the given the maximum incident intensity of the initial spectrum, the detection limit of the intensity of the spectrometer and the accuracy of detecting weak magnetic field, we can theoretically give the appropriate pre-selection, post-selection and others optical structure before experiment. Our numerical results show our scheme with Weak-value technique is effective and feasible to detect weak magnetic field with magnetic field intensity lower than 10−10 T. © 2021, CC BY.

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Interval prediction model of blast furnace gas utilization rate based on multi-time-scale

Interval prediction model of blast furnace gas utilization r...

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第三十九届中国控制会议

作者： Feng Yin Jianqi An Xiaoling Shen Takao Terano School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Chiba University of Commerce

Gas utilization rate（GUR） is an important indicator that reflects the state of a blast furnace（BF）. However, most researches only predict the point values of GUR, it is difficult for the operator to make corresponding operations. This paper presents an interval prediction model based on multi-time-scale to predict the GUR. First, this paper analyzes the impact of the burden distribution and the hot-blast supply on multi-time-scale of the blast furnace. Then, we build a multi-time-scale point prediction model based on support vector regression（SVR）. Next, an interval prediction model of multi-objective optimization based on interval prediction indicators and the point prediction model was proposed. Finally, some experiment results base on actual run data shows that the method predicts the GUR more effectively than the point prediction model based on single time scale.

关键词： Blast furnace Gas utilization rate Interval prediction Multi-time-scale Multi-objective optimization

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Stacked Sparse Autoencoder based Automatic Detection of Ripples and Fast Ripples in Epilepsy

Stacked Sparse Autoencoder based Automatic Detection of Ripp...

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第三十九届中国控制会议

作者： Hongzhen Qin Min Wu Xiongbo Wan Yuxiao Du School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation Guangdong University of Technology

High frequency oscillations(HFOs) have been acknowledged as a putative biomarker of epileptic seizure onset zones(SOZs). Accurate detection of HFOs is significant for the preoperative localization of epileptic SOZs. In this paper, a new method is proposed to automatically detect ripples(Rs) and fast ripples(FRs) from intracranial electroencephalography(iEEG)in epilepsy. A moving-window technique is utilized to segment the filtered signals which are obtained by filtering the raw iEEG signals using two Chebyshev band-pass filters. Two stacked sparse autoencoder(SSAE) models are proposed to automatically detect Rs and FRs, respectively. By optimizing the parameters of the two SSAE models, our method yields higher sensitivity(88.9±2.4% for Rs and 83.2±2.5% for FRs) and higher specificity(92.3±2.8% for Rs and 86.1±2.8% for FRs) than other three methods do.

关键词： Epilepsy Intracranial electroencephalography Ripples Fast ripples Stacked sparse autoencoder

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Extended Dissipative control for Drill-String systems with Input Time-Varying Delays 38

Extended Dissipative Control for Drill-String Systems with I...

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第三十八届中国控制会议

作者： Chengda Lu Min Wu Luefeng Chen Aoxue Yang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Software and Electrical Engineering Swinburne University of Technology

ISBN: (纸本)9781728123295;9789881563972

The objective of this paper is to design an extended dissipative controller for drill-string systems by taking into account input time-delays. A multi-degree-of-freedom lumped parameter model is established for the drill-string and a state space model in perturbation coordinates is derived correspondingly. By using the Lyapunov-Krasovskii functional method, two sufficient conditions are provided to make extended dissipativity analysis of the drill-string and design a suitable extended dissipative controller for the system. The effectiveness of our results is verified through a numerical example.

关键词： Drill-string extended dissipative control time-delay

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Influence of Temperature and Noise on Subthreshold Signal Propagation in Feedforward Neural Network

Research Square

引用

Research Square 2021年

作者： Yi, Ming Dai, Shiqi Lu, Lulu Wei, Zhouchao Zhu, Yuan School of Mathematics and Physics China University of Geosciences Hubei Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation China University of Geosciences Hubei Wuhan430074 China Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Ministry of Education Fudan University Shanghai200433 China

Temperature is an important environmental factor that all creatures depend on. Under the appropriate temperature, the neural system shows good biological performance. Based on an improved Hodgkin-Huxley (HH) neuron model considering temperature and noise, the ten-layers pure excitatory feedforward neural network and the ten-layers excitatory-inhibitory (EI) neural network are constructed to study the subthreshold signal propagation. It’s found that increasing temperature can restrain the signal propagation, and raise the noises intensity threshold where the failed signal propagation can transform into succeed signal propagation. Under the large noise, the signal propagation in network in different temperatures exhibits different anti-noise capabilities. There exists the saturation value of interlayer connection probability, that is, the signal propagation maintains constant when interlayer connection probability beyond a certain value. Moreover, in EI network with large noise, the network’s intrinsic oscillation activity will completely cover subthreshold signal, and block the signal propagation. The jumping phenomenon in the value of fidelity, which measures the similarity between input signal and output signal, appears in both pure excitatory network and EI network. This paper provides potential value for understanding the regulation of both temperature and noise in information propagation in neural network. © 2021, CC BY.

关键词： Backpropagation

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Enhancing the sensitivity of amplification of rotation velocity in Sagnac’s interferometer with biased weak measurement

arXiv

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arXiv 2021年

作者： Huang, Jing-Hui Hu, Xiang-Yun Duan, Xue-Ying Wang, Guang-Jun Institute of Geophysics and Geomatics China University of Geosciences Wuhan430074 China School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

Recently, biased weak measurement(BWM) has shown higher precision than both conventional measurement and standard weak measurement(SWM) in optical metrology. In this paper, we propose a scheme of detecting rotation velocity in Sagnac’s interferometer with BWM. In particular, BWM employs an additional reduction of photons in the post-selection by introducing a pre-coupling, and the remaining photons have been shown to be extremely sensitive to the estimated parameter. In addition, our numerical results show that the scheme with BWM can obtain a higher sensitivity than the scheme with SWM. © 2021, CC BY.

关键词： Interferometers

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Delay-induced feedback stabilization of second-order systems in the noisy environment

Delay-induced feedback stabilization of second-order systems...

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International Conference on control and automation (ICCA)

作者： Shenghao Yao Xiaofeng Zong School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China

ISBN: (数字)9781728190938

ISBN: (纸本)9781728190945

This paper discusses delay-induced feedback stabilization of second-order systems in the noisy environment. With the help of the Lyapunov-Krasovskii theorem and the Taylor expansion with integral, the mean square and almost sure exponential stability criteria for the close-loop linear dynamic systems based on the delay and noisy feedback control are established in terms of the simple linear matrix inequalities (LMIs). It is revealed that if the velocity measurement is unavailable, we can use the position measurements with a small delay to stabilize the original system even in the noisy environment. Some simulations are introduced to illustrate the delay-induced stabilizability criteria.

关键词： Delays Stability criteria Thermal stability Stochastic processes Noise measurement Geology Delay effects

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Surface displacement monitoring of small slow landslide based on vision system 4

Surface displacement monitoring of small slow landslide base...

引用

4th IEEE advanced Information Technology, Electronic and automation control Conference, IAEAC 2019

作者： Hou, Xianhe Sang, Xianzhen Yang, Shuaimeng China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China

ISBN: (纸本)9781728119076

The occurrence of landslide is uncertain, and its surface displacement data is an important physical quantity reflecting the occurrence process of landslide. Therefore, we propose a visual based small displacement landslide surface displacement monitoring method. The method uses binocular stereo vision technology to monitor small slow landslides, and through image preprocessing, feature extraction, three-dimensional coordinate solving and other methods to solve the displacement of the marker body, so as to achieve the purpose of obtaining the displacement of the landslide surface. The experimental results show that the method has small measurement error, low cost and easy implementation. © 2019 IEEE.

关键词： Landslides

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