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arXiv 2020年

作者： Lei, Jinlong Yi, Peng Chen, Jie Hong, Yiguang Department of Control Science and Engineering Tongji University Shanghai201804 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai201804 China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China

This paper considers a distributed stochastic strongly convex optimization, where agents over a network aim to cooperatively minimize the average of all agents' local cost functions. Due to the stochasticity of gradient estimation and distributedness of local objective, fast linearly convergent distributed algorithms have not been achieved yet. This work proposes a novel distributed stochastic gradient tracking algorithm with variance reduction, where the local gradients are estimated by an increasing batch-size of sampled gradients. With an undirected connected communication graph and a geometrically increasing batch-size, the iterates are shown to converge in mean to the optimal solution at a geometric rate (achieving linear convergence). The iteration, communication, and oracle complexity for obtaining an ǫ-optimal solution are established as well. Particulary, the communication complexity is O(ln(1/ǫ)) while the oracle complexity (number of sampled gradients) is O(1/ǫ2), which is of the same order as that of centralized approaches. Hence, the proposed scheme is communication-efficient without requiring extra sampled gradients. Numerical simulations are given to demonstrate the theoretic *** Codes 90Cxx Copyright © 2020, The Authors. All rights reserved.

关键词： Optimal systems

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Measurement based validation of an electro-pneumatic gearbox actuator

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Periodica Polytechnica Transportation Engineering 2020年第1期49卷 1-7页

作者： Szabó, Ádám Bécsi, Tamás Aradi, Szilárd Department of Control for Transportation and Vehicle Systems Faculty of Transportation Engineering and Vehicle Engineering Budapest University of Technology and Economics Stoczek u. 2 BudapestH-1111 Hungary

The objective of the research is to analyze the behavior of the developed electro-pneumatic actuator model and compare it to the behavior of the real system. The actuator achieves the requested gear changes by moving the two pistons inside the cylinder and it is operated by three-way two-position solenoid valves. Since not all model parameters are exactly known, such as contraction coefficients and friction parameters, they can be estimated based on literature then they can be further tuned to minimize the error of the simulation. The developed nonlinear model is capable of describing the dynamic behavior of the gearbox actuator, thus it can be used to analyze the effects of constructional modifications and it can serve as Model in the Loop (MIL) environment for controller testing. © 2020 Budapest University of technology and Economics. All rights reserved.

关键词： Nonlinear systems

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Asymptotic and tracking guarantees in interval observer design for systems with unmeasured polytopic nonlinearities ⁎

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IFAC-PapersOnLine 2020年第2期53卷 5010-5015页

作者： Hiroshi Ito Thach Ngoc Dinh Department of Intelligent and Control Systems Kyushu Institute of Technology Iizuka Fukuoka 820-8502 Japan CNAM Cedric-Lab 292 rue St-Martin 75141 Paris Cedex 03 France

For a class of nonlinear systems subject to disturbances, an observer is proposed to estimate time-varying intervals in which their state variables are guaranteed to stay all the time. The objective is to effectively deal with nonlinearities depending on unmeasured variables which have been usually treated as uncertainty in observer design. Focusing on nonlinearities in a polytopic form, this paper shows how an interval observer can replace nonlinearities in unmeasured variables by nonlinearities in estimated intervals. Theoretical guarantees and simulation comparisons are presented to demonstrate that the use of interval-dependent nonlinearities gives better estimates than the use of an overbounding observer.

关键词： Interval observers Polytopic systems State estimation Nonlinear systems

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Personalized and Demand-Based Education Concept: Practical Tools for control Engineers

arXiv

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arXiv 2025年

作者： Varga, Balint Fischer, Lars Kovacs, Levente Institute of Control Systems Karlsruhe Institute of Technology Karlsruhe76131 Germany FZI Research Center for Information Technology Karlsruhe76131 Germany Department of Biomatics and Artificial Intelligence John von Neumann Faculty of Informatics Physiological Controls Research Group University Research and Innovation System Obuda University Budapest1034 Hungary

This paper presents a personalized lecture concept using educational blocks and its demonstrative application in a new university lecture. Higher education faces daily challenges: deep and specialized knowledge is available from everywhere and accessible to almost everyone. University lecturers of specialized master courses confront the problem that their lectures are either too boring or too complex for the attending students. Additionally, curricula are changing more rapidly than they have in the past 10–30 years. The German education system comprises different educational forms, with universities providing less practical content. Consequently, many university students do not obtain the practical skills they should ideally gain through university lectures. Therefore, in this work, a new lecture concept is proposed based on the extension of the just-in-time teaching paradigm: Personalized and Demand-Based Education. This concept includes: 1) an initial assessment of students’ backgrounds, 2) selecting the appropriate educational blocks, and 3) collecting ongoing feedback during the semester. The feedback was gathered via Pingo, ensuring anonymity for the students. Our concept was exemplarily tested in the new lecture"Practical Tools for control Engineers" at the Karlsruhe Institute of technology. The initial results indicate that our proposed concept could be beneficial in addressing the current challenges in higher *** Codes 93C85 Copyright © 2025, The Authors. All rights reserved.

关键词： Students

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Robust Hemodynamic control Under General Anesthesia Conditions ⁎

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IFAC-PapersOnLine 2020年第2期53卷 16179-16184页

作者： Dana Copot Cristina Muresan Isabela Birs Levente Kovacs Ghent University Research group on Dynamical Systems and Control Tech Lane Science Park 125 Ghent Belgium and with EEDT-Decision and Control core lab in Flanders Make consortium Tech Lane Science Park 131 Ghent Belgium Department of Automatic Control at Technical University of Cluj-Napoca Memorandumului street 28 Cluj Romania Ghent University Research lab on Dynamical Systems and Control Tech Lane Science Park 125 Ghent Belgium Physiological Controls Research Center Research Innovation and Service Center of Obuda University Obuda University Becsi ut 96/b H1034 Budapest Hungary

All drug regulatory paradigms are dependent on the hemodynamic system as it serves to distribute and clear the drug in/from the body. In this work, stabilization of hemodynamic variables within the context of maintaining general anesthesia conditions is presented. Several methods for robust control are employed, all based on the emerging fractional order control algorithm with inherent robustness to gain and phase margin variations. These are important due to the inter- and intra- patient variability at hand. The results indicate the great suitability of fractional order control as a substantially robust algorithm which can be used in combination with regulatory schemes for better closed loop performance. The challenges of the hemodynamic system under analysis here is the high coupling (multivariable system) with delay-dominant dynamics. Additionally, disturbance from the anesthesia-regulatory system and realistic surgical stimulation profiles are incorporated to complete the analysis. The results support the claims.

关键词： hemodynamic regulation anesthesia regulation delay dominant dynamics multivariable control fractional order control

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Economic Dispatch Cost Reduction in Box-based Robust Unit Commitment ⁎

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IFAC-PapersOnLine 2020年第2期53卷 13248-13253页

作者： Youngchae Cho Takayuki Ishizaki Nacim Ramdani Jun-ichi Imura Department of Systems and Control Engineering School of Engineering Tokyo Institute of Technology Tokyo Japan Univ. Oreans INSA-CVL PRISME EA 4229 F45072 Orleans France

This paper proposes a box expanding method to reduce the economic dispatch (ED) cost in the box-based robust unit commitment model (BUC). As a non-anticipative robust unit commitment model for a power system under demand uncertainty, BUC co-optimizes the commitment schedule and the feasible set of the ED problem to minimize the total operating cost for the worst-case realization in a set of possible demand scenarios; the feasible set of the ED problem is modeled as a box to enable the non-anticipative real-time dispatch. Meanwhile, as BUC considers the worst-case total operating cost, the actual total operating cost may be unnecessarily high. In this paper, the box feasible set of the ED problem in BUC is expanded to a larger one via multi-objective optimization with a no-preference method. The expanded box forms a new feasible set of the ED problem, which increases the chance of reducing the actual ED cost and thus the actual total operating cost. Simulation results using 5-, 14-, and 30-bus test systems demonstrate the effectiveness and generality of the proposed method.

关键词： optimization problems power systems stochastic programming uncertainty unit commitment problem

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Adaptation of engineering wake models using Gaussian process regression and high-fidelity simulation data

arXiv

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arXiv 2020年

作者： Andersson, Leif Erik Doekemeijer, Bart van der Hoek, Daan van Wingerden, Jan-Willem Imsland, Lars Department of Engineering Cybernetics Norwegian University of Science and Technology Trondheim7491 Norway Delft University of Technology Delft Center for Systems and Control Delft2628 CD Netherlands

This article investigates the optimization of yaw control inputs of a nine-turbine wind farm. The wind farm is simulated using the high-fidelity simulator SOWFA. The optimization is performed with a modifier adaptation scheme based on Gaussian processes. Modifier adaptation corrects for the mismatch between plant and model and helps to converge to the actual plan optimum. In the case study the modifier adaptation approach is compared with the Bayesian optimization approach. Moreover, the use of two different covariance functions in the Gaussian process regression is discussed. Practical recommendations concerning the data preparation and application of the approach are given. It is shown that both the modifier adaptation and the Bayesian optimization approach can improve the power production with overall smaller yaw misalignments in comparison to the Gaussian wake model. Copyright © 2020, The Authors. All rights reserved.

关键词： Electric utilities

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Some results on linear nabla Riemann-Liouville fractional difference equations

Some results on linear nabla Riemann-Liouville fractional di...

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作者： The Anh, Pham Babiarz, Artur Czornik, Adam Niezabitowski, Michal Siegmund, Stefan Department of Mathematics Le Quy Don Technical University 236 Hoang Quoc Viet Hanoi Viet Nam Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice44-100 Poland Faculty of Mathematics Center for Dynamics Technische Universität Dresden Zellescher Weg 12-14 Dresden01069 Germany

In this paper, we establish some criteria for boundedness, stability properties, and separation of solutions of autonomous nonlinear nabla Riemann-Liouville scalar fractional difference equations. To derive these results, we prove the variation of constants formula for nabla Riemann-Liouville fractional difference equations. © 2020 John Wiley & Sons, Ltd.

关键词： Difference equations

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Multi-Objective Squirrel Search Algorithm for EEG Feature Selection

SSRN

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SSRN 2022年

作者： Wang, Chao Li, Songjie Shi, Miao Zhao, Jie Acharya, U. Rajendra Xie, Neng-Gang Cheong, Kang Hao College of Civil Engineering and Architecture Anhui Polytechnic University Anhui Wuhu241000 China Anhui Province Key Laboratory of Multidisciplinary Management and Control of Complex Systems Anhui Ma’anshan 243002 China Department of Management science and Engineering Anhui University of Technology Anhui Maanshan243002 China 8 Somapah Road Singapore487372 Singapore Department of Mechanical Engineering Anhui University of Technology Maanshan243002 China Department of Electronics and Computer Engineering Ngee Ann Polytechnic S599489 Singapore Department of Biomedical Engineering School of Science and Technology SUSS University Singapore Department of Biomedical Informatics and Medical Engineering Asia University Taichung Taiwan

Feature selection plays a critical role in the application of Brain Computer Interface (BCI) systems. Many methods have been used to solve the feature selection problem, but they model it as a single-objective problem, considering only classification accuracy or number of features. To close this critical gap, we improve the squirrel search algorithm by combining it with the grid method, and propose a Multi-Objective Squirrel Search Algorithm (MOSSA) to solve the feature selection problem in BCI. We conduct experiments on three publicly available motion imagery datasets, and the experimental results reveal the best classification results of the method on dataset 1. The average classification accuracy of dataset 2 is 96.71%, with the number of selected features reduced to 18 on average. The highest classification accuracy of dataset 3 is 83.57% on the training set and 82.86% on the test set. In addition, we compare MOSSA with other algorithms and the results show the superiority of our proposed method in solving the feature selection problem. Finally, we combine MOSSA with an online application of BCI, where subjects visualise controlling the robot to perform the corresponding actions by the left and right hand movements. The average recognition rate of the three subjects is approximately 70%. In summary, the MOSSA is an effective method for solving the feature selection problem and is useful for the development of online © 2022, The Authors. All rights reserved.

关键词： Brain computer interface

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How much is global business sectors contributing to sustainable development goals?

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Sustainable Horizons 2022年 1卷

作者： Song, Lan Zhan, Xiaojiao Zhang, Huahan Xu, Ming Liu, Jianguo Zheng, Chunmiao Shenzhen Institute of Sustainable Development Southern University of Science and Technology Shenzhen518055 China State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control Southern University of Science and Technology Shenzhen518055 China School for Environment and Sustainability University of Michigan Ann ArborMI48109 United States Department of Civil and Environmental Engineering University of Michigan Ann ArborMI48109 United States Center for Systems Integration and Sustainability Michigan State University East LansingMI48823 United States

While the 17 United Nations Sustainable Development Goals (SDGs) have explicitly called on businesses to contribute, little is known to what extent have the business sectors engaged with the SDGs. Here we benchmarked the engagement of the Fortune Global Top 500 corporations with the SDGs based on publicly available information screened between November 1, 2019, and February 15, 2020. The results revealed that 304 of the 500 corporations had presented relevant content on their websites. However, 32.6% of the corporations tend to match their usual business practices with relevant SDGs instead of implementing new initiatives. Only 22.8% of the corporations developed specific actions or strategies for specific SDGs, and only 0.2% developed methods and tools to evaluate progress. European-headquartered corporations are leading the way to engage with the SDGs, whereas U.S.- and China-headquartered ones fall short. The SDG 8 (Decent Work and Economic Growth) and SDG 13 (Climate Action) are the most popular SDGs among these corporations. At the same time, SDG 2 (Zero Hunger) and SDG 14 (Life below Water) received the slightest interest. The level of engagement is uneven across various business sectors, with the corporations in the Information & technology sector have largely engaged with the SDGs. In contrast, the Health Care sector has shown the slightest interest in the SDGs. Our results call for leading corporations in these sectors for continuous and enhanced efforts to help accelerate the global process towards the SDGs. Governments could provocatively encourage and regulate business sectors to engage with the SDGs and disclose uniform data to benchmark the progress towards a sustainable future. © 2022

关键词： Sustainable development

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