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American control Conference (ACC)

作者： D. Vrancic D. Juricic S. Strmcnik R. Hanus J. Stefan Institute Ljubljana Slovenia Control Engineering & System Analysis Department Free University of Brussels Brussels Belgium

A simple procedure for tuning PID controllers in the closed-loop is presented, the magnitude-optimum-multiple-integration (MOMI) method . It employs multiple integration of process input and output signals obtained during the change of the process steady-state. It is shown that the resulting controller parameters are exactly the same as those calculated from the process open-loop step response.

关键词： Three-term control Tuning Open loop systems Frequency domain analysis Bandwidth Transfer functions control engineering control systems Signal processing Steady-state

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Comparison between model based controllers for a distributed solar collector field 9

Comparison between model based controllers for a distributed...

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2007 9th European control Conference, ECC 2007

作者： Galvez-Carrillo, M. De Keyser, R. Ionescu, C. Department of Control Engineering and System Analysis Université Libre de Bruxelles Av. F.D. Roosevelt 50 - CP 165/55 BrusselsB-1050 Belgium EeSA Department of Electrical Energy Systems and Automation Ghent University Technologiepark 913 GentB-9052 Belgium

ISBN: (纸本)9783952417386

This work presents the comparison between the results obtained from applying three different control strategies for regulating the temperature in a distributed solar collector (DSC) field. A nonlinear predictive control strategy, the Nonlinear Extended Prediction Self-Adaptive control (Nonlinear EPSAC or NEPSAC), is compared with a linear predictive controller and a PI controller. All control strategies include a Smith Predictor and use a model of the process for the tuning of the controllers. Simulations on a model based on physical and geometric properties of the solar field are performed and controllers are validated on real data measurements. © 2007 EUCA.

关键词： Solar energy

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Complex automation of a technological process on the basis of control systems with a three level structure

Complex automation of a technological process on the basis o...

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Annual IEEE systems Conference

作者： Gulnara Abitova Mamirbek Beisenbi Vladimir Nikulin Department of System Analysis and Control Eurasian National University Astana Kazakhstan Department of Electrical and Computer Engineering Binghamton University Binghamton NY USA

Modern control methods are suitable for increasing production capabilities of industrial enterprises by employing information technologies, which are often used for modernization of industrial processes without the need of acquiring new equipment. Therefore, automation of the industrial lines is one of the most important directions of the technological progress, as it leads to improvement and modernization of industrial processes. The technological process of tellurium production includes a number of stages, which require automatic regulation of many parameters with a high degree of precision. In this work, we analyze and propose a unified concept of application of modern automation techniques that can be used to build a three-level hieratical control system intended for improving the quality of product.

关键词： Process control Automation control systems Tellurium Production Sensors Monitoring

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Obtaining a Stabilizing Prediction Horizon in Quadratic Programming Model Predictive control

Obtaining a Stabilizing Prediction Horizon in Quadratic Prog...

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IEEE Annual Conference on Decision and control

作者： Dimitri Morgenstern Daniel Gorges Andreas Wirsen Department of System Analysis Prognosis and Control Fraunhofer Institute for Industrial Mathematics Kaiserslautern Germany Department of Electrical and Computer Engineering University of Kaiserslautern Germany

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

In this paper, it is shown how a performance tuple can be obtained in model predictive control if the optimal control problem is a quadratic program. The quotient of the finite-horizon optimal cost and the tuple's first entry upper bounds the sum of all instances over the finite-horizon optimal cost. The tuple's second entry is a stabilizing prediction horizon. The algorithm taking the describing matrices and giving a performance tuple is easily verifiable.

关键词： Optimal control Stability analysis Optimization Predictive control Upper bound Asymptotic stability controllability

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systematic Model Identification of Complex Bioprocesses: Application to a CHO-K1 Cell Culture

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IFAC Proceedings Volumes 2004年第3期37卷 97-102页

作者： Jens E. Haag Alain Vande Wouwer Marcel Remy Philippe Bogaerts Control Department Faculty of Engineering Boulevard Dolez 31 B-7000 Mons Belgium Control Engineering and System Analysis Department Université Libre de Bruxelles Avenue F. D. Roosevelt 50 CP 165/55 B-1050 Brussels

Modeling and parameter identification are important prerequisites for state estimation and control of complex biological systems in bioengineering. Due to the great variety of cell lines and the rapidity of developments in genetics, biosystems have to be investigated in a fast and efficient way to identify the major metabolic phenomena. This paper proposes a systematic modeling procedure, which enables the description of the most important experimental settings and biological effects in terms of stoichiometry, kinetics and metabolic regulation. This procedure is successfully applied to the real case of a perfused mammalian cell culture of non-transfected CHO-K1 cells in suspension.

关键词： dynamic modeling parameter estimation macroscopic reaction schemes C-identifiability mammalian cell culture

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New WHO global air quality guidelines help prevent premature deaths in China

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National Science Review 2022年第4期9卷 10-12页

作者： Tao Xue Guannan Geng Xia Meng Qingyang Xiao Yixuan Zheng Jicheng Gong Jun Liu Wei Wan Qiang Zhang Haidong Kan Shiqiu Zhang Tong Zhu Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics School of Public HealthPeking University State Key Joint Laboratory of Environmental Simulation and Pollution Control School of EnvironmentTsinghua University School of Public Health Key Laboratory of Public Health Safety of the Ministry of Educationand Key Laboratory of Health Technology Assessment of the Ministry of HealthFudan University Center of Air Quality Simulation and System Analysis Chinese Academy of Environmental Planning College of Environmental Sciences and Engineering Peking University School of Energy and Environmental Engineering University of Science and Technology Beijing Clean Air Asia Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua University

The air quality guidelines （AQGs） issued by the World Health Organization （WHO） in 2005 are key references for the National Ambient Air Quality Standards （NAAQSs） in *** 22September 2021,the WHO issued new AQGs （NAQGs）[1],which propose more stringent targets to control exposure to multiple air pollutants,including fine particulate matter (PM2.5) and ozone （O3）,to which,in 2019,451 million premature deaths,globally,were attributable [2].

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A Data Driven Condition Monitoring of Chain Type Structures by Using Nonlinear Frequency Analyses 2

A Data Driven Condition Monitoring of Chain Type Structures ...

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2nd International Conference on Industrial Artificial Intelligence, IAI 2020

作者： Gao, Yi Luo, Zhong Zhu, Yunpeng Qiu, Yue Li, Yuqi Key Laboratory of Vibration and Control of Aero-Propulsion Systems Ministry of Education of China Northeastern University Shenyang110819 China State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology Dalian116024 China University of Sheffield Department of Automatic Control and System Engineering SheffieldS13JD United Kingdom

ISBN: (纸本)9781728182162

A novel data driven condition monitoring approach is proposed in this study to detect the location of nonlinear faults in chain type structures. In this approach, the chain type system is characterized by representing the relationships between any two adjacent measurement points by NARX (Nonlinear Auto-Regressive with Exogenous Inputs) model. A new indicator for condition monitoring, known as the NET (Nonlinear Energy Transmission) indicator, is introduced based on the evaluation of the NRSFs (Nonlinear Response Spectrum Functions) of the chain type system. A 3 DOF system is employed to demonstrate the application of the data driven condition monitoring by using the NET indicator. A case study on the condition monitoring of a rotor-bearing system is then discussed to validate the advantage of the proposed approach in engineering practice. © 2020 IEEE.

关键词： Condition monitoring

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Spectral clustering approach with sparsifying technique for functional connectivity detection in the resting brain

Spectral clustering approach with sparsifying technique for ...

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2010 International Conference on Intelligent and Advanced systems, ICIAS 2010

作者： Ramezani, Mahdi Heidari, Amin Fatemizadeh, Emad Soltanian-Zadeh, Hamid Biomedical Signal and Image Processing Laboratory Sharif University of Technology Tehran Iran Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI 48202 United States Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Iran

ISBN: (纸本)9781424466238

The aim of this study is to assess the functional connectivity from resting state functional magnetic resonance imaging (fMRI) data. Spectral clustering algorithm was applied to the realistic and real fMRI data acquired from a resting healthy subject to find functionally connected brain regions. In order to make computation of the spectral decompositions of the entire brain volume feasible, the similarity matrix has been sparsified with the t-nearestneighbor approach. Realistic data were created to investigate the performance of the proposed algorithm and comparing it to the recently proposed spectral clustering algorithm with the Nystrom approximation and also with some well-known algorithms such as the Cross Correlation analysis (CCA) and the spatial Independent Component analysis (sICA). To enhance the performance of the methods, a variety of data pre and post processing steps, including data normalization, outlier removal, dimensionality reduction by using wavelet coefficients, estimation of number of clusters and optimal number of independent components (ICs). Results demonstrate the applicability of the proposed algorithm for functional connectivity analysis.

关键词： Brain

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Redesigning electrification of China’s ammonia and methanol industry to balance decarbonization with power system security

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Nature Energy 2025年 1-12页

作者： Jiarong Li Jin Lin Sirui Wu Zhipeng Yu Chris P. Nielsen Michael B. McElroy Jianxiao Wang Jie Song Xi Lu Yonghua Song Xuefeng Lyu Mingkai Yu Department of Electrical Engineering Tsinghua University Beijing China Harvard-China Project on Energy Economy and Environment Harvard University Cambridge MA USA State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China National Engineering Laboratory for Big Data Analysis and Applications Peking University Beijing China Department of Industrial Engineering and Management College of Engineering Peking University Beijing China State Key Laboratory of Regional Environment and Sustainability School of Environment Tsinghua University Beijing China Institute for Carbon Neutrality Tsinghua University Beijing China State Key Laboratory of Internet of Things for Smart City University of Macau Macau China School of Nuclear Science and Engineering North China Electric Power University Beijing China China Electric Power Research Institute Beijing China

Electrification represents a critical pathway to decarbonize the ammonia and methanol industries by reducing fossil fuel reliance. However, a greater understanding is needed of how the spatio-temporal mismatch between renewable generation and chemical load patterns may impact on power system emissions and security. Here we assess different electrification pathways across 22 Chinese provinces from 2020 to 2050. Using 2020 data, we show that reliance on grid electricity offsets CO2reductions by increasing power system emissions, raising national emissions by 1%. Integrating co-located renewables without self-balancing flexibility exacerbates power system security risks, potentially increasing balancing requirements by 9%. To address this challenge, we propose the ‘Green Flexible Chemical Electrification’ pathway, transitioning from requirements for stringent co-located renewables to rigid temporal self flexibility. By 2030, Green Flexible Chemical Electrification demonstrates cost competitiveness nationwide, with green ammonia potentially generating 2 billion RMB in profit. Additionally, redesigning electricity pricing to incentivize chemical-side demand management further enhances power–chemical synergies.

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Application of a Smith Predictor based nonlinear predictive controller to a Solar Power Plant

Application of a Smith Predictor based nonlinear predictive ...

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作者： Gálvez-Carrillo, Manuel De Keyser, Robin Ionescu, Clara Department of Control Engineering and System Analysis Université Libre de Bruxelles Av. F.D. Roosevelt 50-CP165/55 B1050 Brussels Belgium Department of Electrical Energy Systems and Automation Ghent University Technologiepark 913 B9052 Gent Belgium

ISBN: (纸本)9783902661289

Renewable energies are gaining space in the energy generation panorama, thanks to technological advances and policy support. To take profit of these energies in an optimal and sustained way, research of new control strategies becomes imperative. This work presents the study and application of a nonlinear control strategy, where a Smith Predictor is added to the Nonlinear Extended Prediction Self-Adaptive control (NEPSAC), for the control of a Solar Power Plant. Different simulations are performed to study the effect of the design parameters in the dynamic behavior of the system. Copyright © 2007 IFAC.

关键词： Solar energy

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