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An online drilling rate of penetration(ROP) optimization method 41

An online drilling rate of penetration(ROP) optimization met...

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第41届中国控制会议

作者： Tuo Wang Chao Gan Weihua Cao School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Drilling rate of penetration(ROP) optimization is crucial due to its vital role in increasing the drilling efficiency and decreasing the non-productive *** existing methods seldom pay attention to updating model parameter during drilling,which is actually important for ROP optimization under dynamical and uncertain downhole *** this paper,an online drilling ROP optimization method is proposed via three stages(drilling data pre-processing,online ROP modelling and online optimal operational parameters optimization).In the first stage,drilling data is pre-processed by resampling and Savitzky-Golay *** this,support vector regression and moving-window strategy are introduced together to establish an online ROP model in the next ***,particle swarm optimization algorithm is applied in the online ROP optimization framework to obtain the optimal operational parameters in the last *** results indicated the effectiveness of the proposed method.

关键词： Rate of penetration Drilling optimization Online optimization Moving-window strategy

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Design and control of a Virtual Teacher with Individual Motor Signature 41

Design and Control of a Virtual Teacher with Individual Moto...

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第41届中国控制会议

作者： Siyuan Li Chao Zhai School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this work,a virtual teacher is designed to play the mirror game with human *** individual motor signature is taken into account,which allows to produce diverse teaching *** teaching effect of virtual teacher is assessed by comparing and analyzing the original movement characteristics of human players and the movement characteristics after going through the teaching ***,stability analysis of the teaching model is ***,the feasibility of the model is verified by comparing the data of several groups of samples.

关键词： Virtual teacher Joint action Motor coordination Motor signature control design

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Research on Electricity Price Sensitivity of Smart Park Facing Source and Load Uncertainty 41

Research on Electricity Price Sensitivity of Smart Park Faci...

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第41届中国控制会议

作者： Jie Cai Zhijian Fang Wenhe Peng Zihan Zhang Junwen He School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Due to the uncertainty of photovoltaic power generation and the disorder of large-scale electric vehicle charging,new challenges have been brought to the security and stability of the smart park distribution network,hybrid storage plays a significant role in smoothing power *** the goal of maximizing the annual earnings of energy storage,this paper proposes a real-time electricity price model based on the electricity price sensitivity of the tie line power fluctuation *** is verified by numerical example simulation,and the results show that,the model plays a very good role in smoothing power fluctuations and improving the economic benefits of energy storage.

关键词： Smart park hybrid energy storage real-time electricity price electricity price sensitivity

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Model Predictive control for Interval Type-2 T-S Fuzzy Systems Under New Dynamic Event-Triggered Mechanism 41

Model Predictive Control for Interval Type-2 T-S Fuzzy Syste...

引用

第41届中国控制会议

作者： Chaoling Zhang Fan Wei Xiongbo Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we focus on dynamic event-triggered model predictive control(MPC) problem for interval type-2 Takagi-Sugeno(IT2 T-S) fuzzy systems with hard constraints on the state.A dynamic event-triggered mechanism(DETM) with two adjusting variables is devised to reduce data transmission *** MPC problem is formulated as a "min-max" problem over the infinite *** purpose is to find a series of desired sub-controllers in terms of MPC such that the underlying IT2 T-S fuzzy system is asymptotically *** taking the T-S fuzzy nonlinearities and the DETM into consideration,we give the design method of the controller through an online auxiliary optimization problem with several constraint conditions.A simulation example is used to demonstrate the effectiveness and the validity of the proposed methods.

关键词： Dynamic event-triggered mechanism adjusting variables model predictive control interval type-2 T-S fuzzy systems

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An Analysis Method for Influence of BF Operating Parameters on GUR Based on Convergent Cross Mapping Algorithm 41

An Analysis Method for Influence of BF Operating Parameters ...

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第41届中国控制会议

作者： Chenglin Yang Jianqi An Weijun Li Wenkai Hu Xin Chen School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

A blast furnace(BF),which includes a variety of complex physical changes and chemical reactions,has many operating parameters that affect its smelting ***,the relationship between operation parameters and state parameters is complex and the influence of time delay between operation parameters and state parameters is difficult to be ***,this paper proposes a convergent cross mapping algorithm(CCM) incorporating delay analysis to solve this ***,using the CCM algorithm to calculate the correlation coefficients between operation parameters and state parameters,and judge the causal relationship between each operating parameter and state parameter by the convergence of the CCM ***,determine the specific delay time and time delay interval of BF operating variables to state variables through fusion time delay *** that the selection of embedding dimension has an important influence on the result of causality *** paper uses the cross-validation method to determine the optimal embedding ***,by comparing the mechanism analysis and the experimental results,the effectiveness of this method in determining causality and delay time of BF variables is verified.

关键词： Blast Furnace Operation Parameters causal relationship Convergence Cross Mapping Time Delay

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State Estimation for Static Neural Networks with Time-Varying Delay via Quadratic Function Negative-Determination Lemma 41

State Estimation for Static Neural Networks with Time-Varyin...

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第41届中国控制会议

作者： Yong-He Lao Du Xiong Li Jin Chuan-Ke Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

The H performance state estimation for static neural networks with time-varying delays is studied in this ***,an augmented Lyapunov-Krasovskii functional（LKF） with the triple integral term and the delay-product-type term is ***,a generalized reciprocally convex matrix inequality is employed to deal with the derivative of the *** that,by utilizing the relaxed quadratic function negative-definiteness determination method to dispose of the time derivative of the delay-product-type term,a less conservative state estimation criterion is ***,the effectiveness of the proposed method is shown through a numerical example.

关键词： Static Neural Networks State Estimation Time-Varying Delay Reciprocally Convex Matrix Inequality Quadratic Function Negative-Determination Lemma

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Adaptive Leader-Following Consensus for a Class of Time Delay Multi-Agent Systems 41

Adaptive Leader-Following Consensus for a Class of Time Dela...

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第41届中国控制会议

作者： Jiachun Sun Shiqi Zheng Liangguang Li Tao Song Qing Chang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we study the leader-following consensus for multi-agent systems with long input time delay under jointly connected directed switching *** adopt an adaptive distributed observer that can make every agent estimate the information of the *** we propose a new controller utilizing the predictor feedback technique,and then map MAS s into ODE-PDE(Ordinary differntial equations-Partial differntial equations) target systems so that we can utilize Lyapunov-Krasovskii function to analyze the stability of the *** are used to vertify the results in the end.

关键词： Multi-agent system distributed observer long input delay directed switching network

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Particle Detection of complex Images Based on Convolutional Neural Network 41

Particle Detection of Complex Images Based on Convolutional ...

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第41届中国控制会议

作者： Yuting Ge Yi Liu Chi Xu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Particle Detection plays important roles in industrial and medical image ***-learning based methods can only deal with the particle images with simple backgrounds and sparse *** most neural network based methods can also hardly to deal with overlapping objects and small particles,besides,the huge amount of parameters of these methods also has a great demand for annotated data,which is difficult to ***,we use bright pixels to represent the spatial position of particles,and artificially divid the sizes of particles into multiple intervals.A feature representation called Light-spots Maps is proposed to replace the bounding box and pixel classifications in our detection *** Light-weight networks based on ResNets is used to transform the particle images into Light-spots maps to detect the particle *** experiments,we prove the effectiveness of our method.

关键词： Objects Detection Particles Detection Convolutional Neural Network

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A Co-regularization Facial Emotion Recognition Based on Multi-Task Facial Action Unit Recognition 41

A Co-regularization Facial Emotion Recognition Based on Mult...

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第41届中国控制会议

作者： Chinonso Paschal Udeh Luefeng Chen Sheng Du Min Li Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Facial emotion recognition helps feed the growth of the future artificial intelligence with the development of emotion recognition,learning,and analysis of different angles of a human face and head *** worlds recent pandemic gave rise to the rapid installment of facial recognition for fewer applications,while emotion recognition is still within the experimental *** current challenges encountered with facial emotion recognition(FER) are the difference between background *** todays world shows us that humans soon need robotics in the most significant role of human perception,attention,memory,decision-making,and human-robot interaction(HRI) needs *** merging the head pose as a combination towards the FER to boost the robustness in understanding emotions using the convolutional neural networks(CNN).The stochastic gradient descent with a comprehensive model is adopted by applying multi-task learning capable of implicit parallelism,inherent and better global optimizer in finding better network *** executing a multi-task learning model using two independent datasets,the experiment with the FER and head pose learning multi-views co-regularization frameworks were subsequently merged with validation accuracy.

关键词： head pose facial expression convolution neural network deep learning emotion recognition

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Event-Triggered Asynchronous Fault Detection for Stochastically Switched Systems With Sojourn Probabilities 41

Event-Triggered Asynchronous Fault Detection for Stochastica...

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第41届中国控制会议

作者： Xingyu Tang Xiongbo Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper investigates the event-triggered asynchronous fault detection（FD） problem for discrete-time switched systems with sojourn *** propose a novel asynchronous FD filter（FDF）,of which the sojourn probability is related to the mode of the switched system.A hybrid adjusting variables-dependent event-triggered mechanism（ETM） is devised to reduce the waste of network *** construct a new Lyapunov function that contains the mode of the switched system and a flexible variable in the ETM.A sufficient condition in terms of matrix inequalities is obtained under which the error dynamics is stochastically stable with a prescribed H *** parameters of the FDF are explicitly given based on the feasible solutions to these matrix inequalities.A numerical example is provided to demonstrate the effectiveness of the proposed event-triggered asynchronous FD method.

关键词： Asynchronous fault detection event-triggered switched systems sojourn probabilities

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