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IEEE Annual Conference on Decision and control

作者： Tengfei Liu Zhengyan Qin Yiguang Hong Zhong-Ping Jiang State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China Laboratory of Systems and Control Chinese Academy of Sciences Beijing China Tandon School of Engineering New York University Brooklyn NY USA

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

This paper studies the distributed optimal output agreement problem for multi-agent systems described by uncertain nonlinear models. By using partial information of an objective function, the design aims to steer the outputs of the agents to an agreement on the optimal solution to the objective function. To solve this problem, this paper introduces distributed coordinators to calculate the ideal outputs, and designs reference-tracking controllers for the agents to follow the ideal outputs. To deal with the nonlinear uncertain dynamics, the closed-loop multi-agent system is considered as a dynamical network, and Sontag's input-to-state stability (ISS) properties are employed to characterize the interconnections. It is shown that output agreement in multi-agent nonlinear systems is achievable by means of distributed optimal coordinators via a small-gain approach. Numerical simulations are employed to show the effectiveness of the design.

关键词： Multi-agent systems Linear programming Optimization Robustness Nonlinear dynamical systems Stability analysis Convergence

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Exponential convergence for distributed smooth optimization under the restricted secant inequality condition

arXiv

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arXiv 2019年

作者： Yi, Xinlei Zhang, Shengjun Yang, Tao Johansson, Karl H. Chai, Tianyou Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm100 44 Sweden Department of Electrical Engineering University of North Texas DentonTX76203 United States State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China

This paper considers the distributed smooth optimization problem in which the objective is to minimize a global cost function formed by a sum of local smooth cost functions, by using local information exchange. The standard assumption for proving exponential/linear convergence of first-order methods is the strong convexity of the cost functions, which does not hold for many practical applications. In this paper, we first show that the continuous-time distributed primal-dual gradient algorithm converges to one global minimizer exponentially under the assumption that the global cost function satisfies the restricted secant inequality condition. This condition is weaker than the strong convexity condition since it does not require convexity and the global minimizers are not necessary to be unique. We then show that the discrete-time distributed primal-dual algorithm constructed by using the Euler's approximation method converges to one global minimizer linearly under the same condition. The theoretical results are illustrated by numerical simulations. Copyright © 2019, The Authors. All rights reserved.

关键词： Continuous time systems

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Der Weg zum Digital Twin im modularen Anlagenbau mittels MTP und DEXPI Standard

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Chemie Ingenieur Technik 2020年第9期92卷

作者： J. Rahm A. Klose L. Urbas M. Soemers M. Theißen C. Schäfer Technische Universität Dresden Chair of Process Control Systems and Process Systems Engineering Group Helmholtzstr. 18 01062 Dresden Deutschland AixCAPE e.V Peterstr. 2–4 52062 Aachen Deutschland Merck KGaA Site Management Engineering Services Frankfurter Str. 250 64293 Darmstadt Deutschland

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Detection of toluene at ppb levels using Au catalyst supported on Al-doped ZnO

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Journal of Environmental Chemical engineering 2025年第4期13卷

作者： Jiali Hong Keyu Chen Kaiping Yuan Mingyue Lin Qi Cao Jialong Lin XinLin Wang Xiaoqian Bai Tamao Ishida Toru Murayama Guangli Xiu State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process Shanghai Environmental Protection Key Laboratory on Environmental Standard and Risk Management of Chemical Pollutants School of Resources and Environmental Engineering East China University of Science and Technology Shanghai 200237 PR China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092 PR China Department of Chemistry Fudan University Shanghai 200433 China Frontier Institute of Chip and System State Key Laboratory of Integrated Chips and Systems Fudan University Shanghai 200433 China Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and Environment Southeast University Nanjing 210096 China Research Center for Artificial Photosynthesis (ReCAP) Osaka Metropolitan University 3-3-138 Sugimoto Sumiyoshi-ku Osaka 558-8585 Japan Institute for Catalysis Hokkaido University Kita21 Nishi10 Kita-ku Sapporo Hokkaido 001-0021 Japan

Toluene, a carcinogen widely used in industrial production, necessitates precise detection for environmental and human safety. The semiconductor gas sensor is an efficient and portable test instrument, but most semiconductor gas sensors face the challenge of high detection limit and low sensitivity when detecting trace levels of toluene. Herein, aluminum-doped zinc oxide supported gold nanoparticles (Au/ZnO-Al) material with a small Au nanoparticle size ( d  = 2.80 ± 0.70 nm) was prepared by the deposition precipitation method. Au/ZnO-Al sensor can detect ppb-level toluene with a low detection limit of 1.1 parts per billion (ppb). Additionally, Au/ZnO-Al sensor also shows high response value of 18.3 and excellent selectivity towards 5 parts per million (ppm) toluene at 275 ℃. Meanwhile, Au/ZnO-Al sensor exhibits excellent reproducibility with no significant change in the resistance over five consecutive cycles of the same concentration of 3 ppm and 500 ppb toluene. The developed Au/ZnO-Al sensor can improve the performance of toluene mainly ascribed to the perimeter interface between Au nanoparticles and ZnO as well as the formation of Schottky junction. Furthermore, the co-effect of Au deposition and Al doping significantly increases the amount of adsorbed oxygen, which is beneficial for enhancing the sensing response. Hence, the Au/ZnO-Al sensor has great potential in detecting trace toluene for human safety.

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Acoustic characterization of an averaged vocal tract model based on the MRI data of professional tenors 23

Acoustic characterization of an averaged vocal tract model b...

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23rd International Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019

作者： Probst, Judith Lodermeyer, Alexander Fattoum, Sahar Echternach, Matthias Becker, Stefan Kniesburges, Stefan Department of Process Machinery and Systems Engineering Friedrich-Alexander-University Erlangen-Nürnberg Cauerstrasse 4 Erlangen91058 Germany Division of Phoniatrics and Pediatric Audiology at Department of Otorhinolaryngology Head and Neck Surgery University Hospital Erlangen Medical School at Friedrich-Alexander-University Erlangen-Nürnberg Waldstraße 1 Erlangen91054 Germany Division of Phoniatrics and Pediatric Audiology Department of Otorhinolaryngology Head and Neck Surgery University of Munich Campus Grosshadern Marchioninistrasse 15 München81377 Germany

ISBN: (纸本)9783939296157

Human speech is created in the larynx and the vocal tract. For vowels, the basic sound is generated by the oscillating vocal folds and filtered by the vocal tract to produce the typical formants. In the present study, we investigate the influence of the vocal tract on phonation. Based on Magnet Resonance Imaging (MRI) data, the acoustic behavior of the vocal tract can be characterized using numerical and experimental models. However, previous studies only analyzed single vocal tracts that were directly obtained from individuals. To investigate the basic influence of the vocal tract on phonation, a vocal tract model is necessary that shows preferably little individual but the typical acoustic characteristics of the specific vowel. Hence, we computed an average vocal tract geometry based on six simplified individual vocal tracts that were extracted from MRI images of professional tenors. The resulting vocal tract model was evaluated in an experimental setup including artificial vocal folds. The comparison with the tenors' vocal recordings shows that the model reproduces the acoustic properties well. Hence, the average vocal tract model presented here is suitable for future investigations of the influence of the vocal tract on phonation. © 2019 Proceedings of the International Congress on Acoustics. All rights reserved.

关键词： Artificial vocal fold models Vocal tract acoustics Voice production modeling

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Corrigendum to: Integrated hybrid solar drying system and its drying kinetics of chamomile [Renewable Energy 121 (2018) – 539 - 547]

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Renewable Energy 2022年 182卷 1241-1241页

作者： Baher M.A. Amer Klaus Gottschalk M.A. Hossain Department of Agricultural Systems Engineering College of Agricultural & Food Sciences King Faisal University P.O.Box 420 Al-Hofuf Al-Ahsa 31982 Saudi Arabia Agricultural Engineering Department Faculty of Agriculture Cairo University Giza 12613 Egypt Leibniz-Institut für Agrartechnik Potsdam-Bornim Max Eyth-Allee 100 14469 Potsdam Germany Farm Machinery and Postharvest Process Eng. Division Bangladesh Agric. Research Institute Bangladesh

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An exploratory study of three-dimensional MP-PIC-based simulation of bubbling fluidized beds with and without baffles

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Particuology 2018年第4期16卷 68-77页

作者： Shuai Yang Hao Wu Weigang Lin Hongzhong Li Qingshan Zhua State Key Laboratory of Multi-phase Complex Systems Institute of Process Engineering Chinese Academy of Sdences P.O. Box 353 Beijing 100190 China State Key Laboratory of Safety and Control for Chemicals SINOPEC Research Institute of Safety Engineering Qingdao 266071 China Department of Chemical and Biochemical Engineering Technical University of Denmark DK-2800 Kongens Lyngby Denmark Sino-Danish College University of Chinese Academy of Sciences Beijing 100049 China

In this study, the flow characteristics of Geldart A particles in a bobbling fluidized bed with and without perforated plates were simulated by the multiphase particle-in-cell （MP-PlC）-based Eolerian-Lagrangian method. A modified structure-based drag model was developed based on our previous work. Other drag models including the Parker and Wen-Yo-Ergon drag models were also employed to investigate the effects of drag models on the simulation results. Although the modified structure-based drag model better predicts the gas-solid flow dynamics of a baffle-free bubbling fluidized bed in comparison with the experimental data, none of these drag models predict the gas-solid flow in a baffled bobbling floidized bed sufficiently well because of the treatment of baffles in the Barracuda software. To improve the simulation accuracy, future versions of Barracuda should address the challenges of incorporating the bed height and the baffles.

关键词： BaffleGeldart A particles Bubbling fluidized beds Simulation Multi-phase particle-in-cell Computational particle fluid dynamics

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Linear convergence of first- And zeroth-order primal-dual algorithms for distributed nonconvex optimization

arXiv

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arXiv 2019年

作者： Yi, Xinlei Zhang, Shengjun Yang, Tao Chai, Tianyou Johansson, Karl H. Division of Decision and Control Systems School of Electrical Engineering and Computer Science Kth Royal Institute of Technology Digital Futures Stockholm100 44 Sweden Department of Electrical Engineering University of North Texas DentonTX76203 United States State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China

This paper considers the distributed nonconvex optimization problem of minimizing a global cost function formed by a sum of local cost functions by using local information *** first propose a distributed first-order primal-dual algorithm. We show that it converges sublinearly to a stationary point if each local cost function is smooth and linearly to a global optimum under an additional condition that the global cost function satisfies the Polyak-Lojasiewicz condition. This condition is weaker than strong convexity, which is a standard condition for proving linear convergence of distributed optimization algorithms, and the global minimizer is not necessarily unique. Motivated by the situations where the gradients are unavailable, we then propose a distributed zeroth-order algorithm, derived from the proposed distributed first-order algorithm by using a deterministic gradient estimator, and show that it has the same convergence properties as the proposed first-order algorithm under the same conditions. The theoretical results are illustrated by numerical simulations. Copyright © 2019, The Authors. All rights reserved.

关键词： Cost functions

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Distributed bandit online convex optimization with time-varying coupled inequality constraints

arXiv

引用

arXiv 2019年

作者： Yi, Xinlei Li, Xiuxian Yang, Tao Xie, Lihua Johansson, Karl H. Chai, Tianyou Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm100 44 Sweden School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Avenue Singapore639798 Singapore State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China

This paper considers the problem of distributed bandit online convex optimization with time-varying coupled inequality constraints. This problem can be defined as a repeated game between a group of learners and an adversary. The learners attempt to minimize a sequence of global loss functions and at the same time satisfy a sequence of coupled constraint functions. The global loss and the coupled constraint functions are the sum of local convex loss and constraint functions, respectively, which are adaptively generated by the adversary. The local loss and constraint functions are revealed in a bandit manner, i.e., only the values of loss and constraint functions at sampled points are revealed to the learners, and the revealed function values are held privately by each learner. We consider two scenarios, one- and two-point bandit feedback, and propose two corresponding distributed bandit online algorithms used by the learners. We show that sublinear expected regret and constraint violation are achieved by these two algorithms, if the accumulated variation of the comparator sequence also grows sublinearly. In particular, we show that O(T θ1 ) expected static regret and O(T 7/4−θ1 ) constraint violation are achieved in the one-point bandit feedback setting, and O(T max{κ,1−κ}) expected static regret and O(T 1−κ/2) constraint violation in the two-point bandit feedback setting, where θ1 ∈ (3/4, 5/6] and κ ∈ (0, 1) are user-defined trade-off parameters. Finally, these theoretical results are illustrated by numerical simulations of a simple power grid example. Copyright © 2019, The Authors. All rights reserved.

关键词： Convex optimization

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Design optimization safety instrumented systems (SIS) 1

Design optimization safety instrumented systems (SIS)

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1st ISA Oman Automation Conference and Exhibition 2017

作者： Moorthy, B.G. Safety Systems and Standards Process Control Engineering Department Engineering Division Bahrain Petroleum Company Bahrain

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