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Static Output Feedback Model Predictive Control for Uncertain Linear Systems

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Static Output Feedback Model Predictive Control for Uncertai...

第40届中国控制会议

作者： Shuzhan Zhang Dongya Zhao sarah k.spurgeon College of New Energy China University of Petroleum Dept.of Electronic and Electrical Engineering University College London

A static output feedback model predictive control algorithm is proposed for an uncertain linear continuous *** explicit expression for the static output feedback control law is developed in light of the projection *** infinite time domain optimization problem is transformed into a linear programming *** solvability of the optimization problem and the stability are proved to underpin the proposed *** effectiveness of the proposed method is validated by using case studies.

关键词： static output feedback projection lemma model predictive control linear matrix inequality

A Novel Wavelet Cluster-based Envelope Demodulation Approach with Application to Fault Diagnosis

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A Novel Wavelet Cluster-based Envelope Demodulation Approach...

第五届流体传动与控制国际会议

作者： sarah k.spurgeon John A.Twiddle Femando S.Schlindwein Department of Engineering University of LeicesterUniversity RoadLeicester LE1 7RHUK Department of Engineering University of LeicesterUniversity RoadLeicester LE1 7RHUK Department of Engineering University of LeicesterUniversity RoadLeicester LE1 7RHUK

＜正＞A Morlet-like wavelet cluster-based method for band-pass filtering and envelope demodulation is *** appropriate choice of wavelet parameters, a wavelet cluster combined with multi-Morlet-like wavelets can be used as a band-pass filter with zero phase shift,flat topped pass-band and rapid attenuation in the transition *** can be used to extract high frequency natural vibration *** imaginary part of the Morlet-like wavelet cluster is the Hilbert transform of its real *** can be used to implement envelope demodulation and extract the envelope component of the high frequency resonance *** method is applied for fault diagnosis relating to bearing defects in a dry vacuum *** is shown that the fault characteristic frequencies can be extracted effectively. The efficacy of the method is demonstrated in experimental studies.

关键词： Morlet-like wavelet cluster band-pass filtering envelope demodulation fault diagnosis dry vacuum pump bearing fault

Forecasting of in situ electron energy loss spectroscopy

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npj Computational Materials 2022年第1期8卷 2400-2408页

作者： Nicholas R.Lewis Yicheng Jin Xiuyu Tang Vidit Shah Christina Doty Bethany E.Matthews sarah Akers Steven R.spurgeon Department of Chemical Engineering University of WashingtonSeattleWA98195USA National Security Directorate Pacific Northwest National LaboratoryRichlandWA99352USA Energy and Environment Directorate Pacific Northwest National LaboratoryRichlandWA99352USA Department of Physics University of WashingtonSeattleWA98195USA

Forecasting models are a central part of many control systems,where high-consequence decisions must be made on long latency control *** models are particularly relevant for emerging artificial intelligence(AI)-guided instrumentation,in which prescriptive knowledge is needed to guide autonomous *** we describe the implementation of a long short-term memory model(LSTM)for forecasting in situ electron energy loss spectroscopy(EELS)data,one of the richest analytical probes of materials and chemical *** describe key considerations for data collection,preprocessing,training,validation,and benchmarking,showing how this approach can yield powerful predictive insight into order-disorder phase ***,we comment on how such a model may integrate with emerging AI-guided instrumentation for powerful high-speed experimentation.

关键词： consequence autonomous transitions

Wavelet packet-based identification of complex oscillation in biological signals

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仪器仪表学报 2008年第2期29卷 225-232页

作者： Zhang Shuqing sarah k. spurgeon Zhang Liguo Jin Mei John A. Twiddle Femando S. Schlindwein College of Electric Engineering Yanshan University Qinhuangdao 066004 China Department of Engineering University of Leicester University Road Leicester LE1 7RH UK

Owing to the intrinsic nonlinearities of the system,a contracting mechanism,such as myogenic response,may induce different oscillatory *** specialists discussed the relations of oscillatory patterns with intrinsic control system or some pathological condition,but there is no single,well-defined criterion to achieve the identification of regular,stochastic,and chaotic *** this paper,we focus on the Mallat algorithm of wavelet packet and use it in the identification of the regular periodic,stochastic,and chaotic *** to the specific frequency configuration of the chaos activity,we select proper layers of decomposition of wavelet packet and did fine segments to the frequency of *** frequency band of energy convergence could be *** signal of periodic,stochastic,and chaotic could be distinguished depending on *** experiment is given to show its *** on 12 babies' lung data have been *** identification by means of wavelet packet could support the cardiologist or cerebral specialist to do more observation and deeper analysis to physic signals.

关键词：复振荡生物信号鉴别模式不规则波动微波

Rapid and flexible segmentation of electron microscopy data using few-shot machine learning

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npj Computational Materials 2021年第1期7卷 1733-1741页

作者： sarah Akers Elizabeth kautz Andrea Trevino-Gavito Matthew Olszta Bethany E.Matthews Le Wang Yingge Du Steven R.spurgeon National Security Directorate Pacific Northwest National LaboratoryRichlandWA 99352USA Energy and Environment Directorate Pacific Northwest National LaboratoryRichlandWA 99352USA Department of Industrial Engineering and Management Sciences Northwestern UniversityEvanstonIL 60208USA Physical and Computational Sciences Directorate Pacific Northwest National LaboratoryRichlandWA 99352USA

Automatic segmentation of key microstructural features in atomic-scale electron microscope images is critical to improved understanding of structure–property relationships in many important materials and chemical ***,the present paradigm involves time-intensive manual analysis that is inherently biased,error-prone,and unable to accommodate the large volumes of data produced by modern *** more automated approaches have been proposed,many are not robust to a high variety of data,and do not generalize well to diverse microstructural features and material ***,we present a flexible,semi-supervised few-shot machine learning approach for segmentation of scanning transmission electron microscopy images of three oxide material systems:(1)epitaxial heterostructures of SrTiO_(3)/Ge,(2)La_(0.8)Sr_(0.2)FeO_(3) thin films,and(3)MoO_(3) *** demonstrate that the few-shot learning method is more robust against noise,more reconfigurable,and requires less data than conventional image analysis *** approach can enable rapid image classification and microstructural feature mapping needed for emerging high-throughput characterization and autonomous microscope platforms.

关键词： systems image enable

Stabilization of Nonlinear Systems with Oscillatory Center

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Stabilization of Nonlinear Systems with Oscillatory Center

第十九届中国控制会议

作者： sarah spurgeon Control Systems Research Group University of Leicester University RoadLeicesterLE1 7RHUnited Kingdom

＜正＞In this paper the problem of local state feedback stabilization of a class of nonlinear systems with non-minimum phase zero dynamics is considered. In [1] the center manifold approach has been combined with Lyapunov function to provide a new design method for stabilizing systems with zero center non-minimum phase zero dynamics. In this paper the method developed in [1] is applied to the stabilization of systems with oscillatory center non-minimum phase zero dynamics. Some sufficient conditions are obtained. The formula for stabilizing controls is also presented.

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Disturbance Observer based Sliding Mode Control for a Continuous Stirred Tank Reactor（CSTR）

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Disturbance Observer based Sliding Mode Control for a Contin...

第36届中国控制会议

作者： MA Luning YNAG Xiao ZHAO Dongya spurgeon sarah k. College of Chemical Engineering China University of PetroleumQingdao School of Automation Beijing Institute of Technology Department of Electronic & Electrical Engineering University College London

A continuous stirred tank reactor（CSTR） is typical of equipment found in the process control *** dynamics represent a wide class of second order nonlinear systems and thus as well as having specific industrial application,control of the CSTR is frequently used as a benchmark problem for application and testing of new control *** to the high complexity of the CSTR system,the robust control design problem is *** paper first establishes a mathematical model of the system.A disturbance observer is then designed to estimate the disturbance and a corresponding asymptotically stable sliding mode control is *** analysis is presented in terms of the Lyapunov ***,based on experimental data,the proposed method is validated using simulation experiments.

关键词： CSTR disturbance observer sliding mode control

Machine learning for automated experimentation in scanning transmission electron microscopy

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npj Computational Materials 2023年第1期9卷 25-40页

作者： Sergei V.kalinin Debangshu Mukherjee kevin Roccapriore Benjamin J.Blaiszik Ayana Ghosh Maxim A.Ziatdinov Anees Al-Najjar Christina Doty sarah Akers Nageswara S.Rao Joshua C.Agar Steven R.spurgeon Department of Materials Science and Engineering University of TennesseeKnoxvilleTN 37996USA Computational Sciences and Engineering Division Oak Ridge National LaboratoryOak RidgeTN 37831USA Center for Nanophase Materials Sciences Oak Ridge National LaboratoryOak RidgeTN 37831USA Argonne National Laboratory Data Science and Learning DivisionChicagoIL 60439USA University of Chicago GlobusChicagoIL 60637USA National Security Directorate Pacific Northwest National LaboratoryRichlandWA 99352USA Department of Materials Science and Engineering Drexel UniversityPhiladelphiaPA 19104USA Department of Physics University of WashingtonSeattleWA 98195USA

Machine learning(ML)has become critical for post-acquisition data analysis in(scanning)transmission electron microscopy,(S)TEM,imaging and *** emerging trend is the transition to real-time analysis and closed-loop microscope *** effective use of ML in electron microscopy now requires the development of strategies for microscopy-centric experiment workflow design and ***,we discuss the associated challenges with the transition to active ML,including sequential data analysis and out-of-distribution drift effects,the requirements for edge operation,local and cloud data storage,and theory in the loop ***,we discuss the relative contributions of human scientists and ML agents in the ideation,orchestration,and execution of experimental workflows,as well as the need to develop universal hyper languages that can apply across multiple *** considerations will collectively inform the operationalization of ML in next-generation experimentation.

关键词： optimization automated execution

Model-free Adaptive Sliding Mode Control for Continuous Stirred Tank Reactor

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Model-free Adaptive Sliding Mode Control for Continuous Stir...

第37届中国控制会议

作者： Jiehua Feng Lei Cao Luning Ma Dongya Zhao sarah k.spurgeon College of Chemical Engineering China University of Petroleum Department of Electronic & Electrical Engineering University College London

The continuous stirred tank reactor（CSTR） is representative of a typical class of chemical equipment, where the dynamics is strongly nonlinear. Two difficult issues in control of a CSTR are the difficulty of accurate modeling and the suppression of external disturbances. Driven by these challenging issues and demanding expectations around performance levels, this paper proposes a control solution based on the model-free data-driven linearization method and sliding mode control. After giving the corresponding stability proof, the effectiveness of the method is validated by MATLAB simulation. Experimental results are also presented to further test the proposed method.

关键词： CSTR adaptive sliding mode control dynamic linearization model free control