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IEEE International Symposium on Circuits and systems (ISCAS)

作者： Yanmin Liu Xiaozhong Liao Zihao Wang Xi Chen Xiangdong Liu Zhen Li School of Automation and Key Laboratory for Intelligent Control & Decision on Complex Systems Beijing Institute of Technology Beijing 100081 China

ISBN: (数字)9781728133201

ISBN: (纸本)9781728133218

The unmanned aerial vehicles (UAVs) formation needs the frequent data-exchanging of individual's state between units for monitoring and instruction uploading from the ground station, which inevitably occupies huge communication bandwidth. This paper presents the extended Kalman filter (EKF) design based on the event-triggered strategy to get UAVs greatly relieved of the communication burden with guaranteed accuracy. The event-triggered strategy firstly selects only the state measurements containing innovational information for the purpose of filtering. Due to the nonlinearity of UAV system, the EKF is further applied to make full use of the information from the prior event-trigger strategy so as to enhance the performance of estimation. The proposed algorithm is verified on the physical UAVs regarding the estimation quality and communication rate, demonstrating the robust dynamic performance with effectively reduced communication rate.

关键词： Estimation Quaternions Unmanned aerial vehicles Monitoring Kalman filters Accelerometers Data models

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Distributed Leader-Following Impulsive Consensus of Nonlinear Multi-Agent systems with Partial Input Saturation

Distributed Leader-Following Impulsive Consensus of Nonlinea...

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Chinese Automation Congress (CAC)

作者： Jiejie Lan Xiaowei Jiang Xianhe Zhang Le You School of Automation China University of Geosciences Wuhan P. R. China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P. R. China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan P. R. China Key Laboratory of Industrial Internet of Things & Networked Control Ministry of Education Chongqing P. R. China School of Electrical Engineering and Automation Hubei Normal University Huangshi P. R. China

In this letter, leader-following consensus of a nonlinear MASs satisfying Lipschitz conditions with partial actuator saturation constraints is investigated First of all, an impulse control protocol which only requires local information of agents and their neighbors is proposed. Then, using Lyapunov stability theory, impulse control theory, and algebraic graph theory, sufficient conditions for the consensus of multi-agent systems are provided. Ultimately, numerical simulations are employed to show that the research findings are accurate.

关键词： Actuators Sufficient conditions Energy consumption Protocols Energy conservation Numerical simulation control systems

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Sequence impedance modeling of droop-controlled inverter 8

Sequence impedance modeling of droop-controlled inverter

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8th Renewable Power Generation Conference, RPG 2019

作者： Hu, You Wang, Jiajun Liu, Bin Li, Zhen Liu, Xiangdong School of Automation and Key Laboratory for Intelligent Control and Decision on Complex Systems Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781839531255

The grid-connected three-phase inverter is an indispensable part of the microgrid. The droop control is widely used in parallel inverters for high reliability and flexibility. The output impedance of droop controlled inverters plays an vital role in its stability. However, the sequence impedance model of grid-connected inverter is currently based on the grid side converter with a single current loop control exdluding the low-frequency dynamics similar in doubly fed induction generators. Both the droop control and voltage loop control greatly affect the stability of inverter, specifically in the low frequency response. This paper proposes a sequence impedance model of inverter, which considers the droop control and voltage and current dual closed-loop control using the harmonic linearization method in the frequency domain. The accuracy of the model is verified through comparing the measurement impedance value in simulation with the impedance value calculated in the sequence impedance model. The influence of control method on system impedance is verified by showing the difference between the single loop controlled inverter and droop control inverter. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Electric inverters

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The Multi-Blockchain Based Data Trading Markets with Novel Pricing Mechanisms

SSRN

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SSRN 2022年

作者： Li, Juanjuan Li, Junqing Wang, Xiao Qin, Rui Yuan, Yong Wang, Fei-Yue The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China College of Computer Science and Engineering Shandong University of Science and Technology Qingdao266590 China Qingdao Academy of Intelligent Industries Qingdao266109 China School of Mathematics Renmin University of China Beijing100872 China Macao Institute of Systems Engineering Macau University of Science and Technology 999078 China

Aiming to deal with the challenge of data security and data pricing in data trading markets, we propose the novel multi-blockchain-based framework and design the related pricing mechanisms. Specifically, data recording and trading are conducted separately in the Data Blockchain (DChain) and the Value Blockchain (VChain). Based on these blockchains, two-layer data trading markets are established to manage the initial data trading in the primary market and the data resale in the secondary market. Pricing mechanisms are proposed to protect the formulated data trading markets against strategic trading behaviors and balance the payoffs of both suppliers and users. In the regular data trading on VChain-S2D, two auction models are used to deal with users' strategic bidding in terms of the demand scale, where the incentive-compatible Vickrey-Clarke-Groves (VCG) model is dedicated to the low-demand trading scenario, while the nearly incentive-compatible Monopolistic Price (MP) model is for the high-demand trading scenario. In the temporary data trading on VChain-D2S, a reverse auction mechanism named Two-Stage Obscure Selection (TSOS) is designed to regulate both suppliers' quoting and users' valuation strategies. Moreover, experiments are carried out to validate our theoretical analysis. Our work is expected to enhance the data security and improve the trading efficiency. © 2022, The Authors. All rights reserved.

关键词： Blockchain

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Predictor-based disturbance rejection control design for low-order stable and integrating processes with time delay

Predictor-based disturbance rejection control design for low...

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Chinese control Conference (CCC)

作者： Rudong Zang Shoulin Hao Tao Liu Qing-Guo Wang Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China Institute for Intelligent Systems The University of Johannesburg Johannesburg South Africa

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

In this paper, a novel predictor-based disturbance rejection control scheme is proposed for industrial stable and integrating processes with time delay. Two realizable differentiators with finite gain are first introduced to estimate the derivatives of the delay-free output response given by a generalized predictor. Then, a predicted disturbance response is constructed for feedforward compensation by using the input signal along with the delay-free output response and its estimated derivatives. By specifying the desired closed-loop poles, the feedback controller is derived analytically. A prominent advantage of the proposed control scheme lies in that a trade-off between the control performance and its robustness against process uncertainties can be made by monotonically tuning the adjustable parameters in the prediction filter, differentiator and feedback controller, respectively. The necessary and sufficient condition for robust stability of the closed-loop system is established based on the small gain theorem. Two illustrative examples from the literature are adopted to demonstrate the effectiveness and superiority of the proposed control scheme.

关键词： Delay effects Process control Uncertainty Tuning Robust stability Steady-state Closed loop systems

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S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles

arXiv

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arXiv 2024年

作者： Wang, Xiao Tang, Ke Dai, Xingyuan Xu, Jintao Du, Quancheng Ai, Rui Wang, Yuxiao Gu, Weihao Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education Anhui University Hefei230031 China Haomo Technology Co. Ltd. Beijing100192 China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Qingdao Academy of Intelligent Industries Qingdao266114 China The School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China The School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China

In public roads, autonomous vehicles (AVs) face the challenge of frequent interactions with human-driven vehicles (HDVs), which render uncertain driving behavior due to varying social characteristics among humans. To effectively assess the risks prevailing in the vicinity of AVs in social interactive traffic scenarios and achieve safe autonomous driving, this article proposes a social-suitable and safety-sensitive trajectory planning (S4TP) framework. Specifically, S4TP integrates the Social-Aware Trajectory Prediction (SATP) and Social-Aware Driving Risk Field (SADRF) modules. SATP utilizes Transformers to effectively encode the driving scene and incorporates an AV’s planned trajectory during the prediction decoding process. SADRF assesses the expected surrounding risk degrees during AVs-HDVs interactions, each with different social characteristics, visualized as two-dimensional heat maps centered on the AV. SADRF models the driving intentions of the surrounding HDVs and predicts trajectories based on the representation of vehicular interactions. S4TP employs an optimization-based approach for motion planning, utilizing the predicted HDVs’ trajectories as input. With the integration of SADRF, S4TP executes real-time online optimization of the planned trajectory of AV within low-risk regions, thus improving the safety and the interpretability of the planned trajectory. We have conducted comprehensive tests of the proposed method using the SMARTS simulator. Experimental results in complex social scenarios, such as unprotected left-turn intersections, merging, cruising, and overtaking, validate the superiority of our proposed S4TP in terms of safety and rationality. S4TP achieves a pass rate of 100% across all scenarios, surpassing the current state-of-the-art methods Fanta of 98.25% and Predictive-Decision of 94.75%. Copyright © 2024, The Authors. All rights reserved.

关键词： Autonomous vehicles

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Retraction notice to "Optimal design and transient simulation next to environmental consideration of net-zero energy buildings with green hydrogen production and energy storage system" [Fuel 336 (2023) 127126] (Fuel (2023) 336, (S0016236122039503), (10.1016/***.2022.127126))

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Fuel 2025年 393卷

作者： Hai, Tao Ali, Masood Ashraf Dhahad, Hayder A. Alizadeh, As'ad Sharma, Aman Almojil, Sattam Fahad Almohana, Abdulaziz Ibrahim Alali, Abdulrhman Fahmi Wang, Dan School of Computer and Information Qiannan Normal University for Nationalities Guizhou Duyun558000 China Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Guizhou Duyun558000 China Universiti Teknologi MARA Selangor Shah Alam40450 Malaysia Department of Industrial Engineering College of Engineering Prince Sattam bin Abdulaziz University Alkharj16273 Saudi Arabia Mechanical Engineering Department University of Technology Baghdad Iraq Department of Civil Engineering College of Engineering Cihan University-Erbil Erbil Iraq Institute of Engineering and Technology GLA University UP Mathura281406 India Department of Civil Engineering College of Engineering King Saud University P.O. Box 800 Riyadh11421 Saudi Arabia School of Mathematics and Statistics Qiannan Normal University for Nationalities Guizhou Duyun558000 China Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province Guizhou Duyun558000 China Key Laboratory of Complex Systems and Intelligent Optimization of Qiannan Guizhou Duyun558000 China

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://***/about/policies/article-withdrawal). This article has been retracted at the request of the Editor in Chief. The decision to retract this article is due to several issues that have arisen in relation to referencing and authorship on this paper. A post on PubPeer raised concerns that there are problems with a number of references on this paper – including the subject, context, relevance, validity, and veracity of references. See here for more details of the issues on Pubpeer: https://***/publications/466490A11516B66D633FBAC5AB6B36. The Editor agreed this could amount to potential citation stuffing to the benefit of certain researchers. In addition, a large number of references (35) were added after the original submission, at revision, without being highlighted to reviewers/editors. There were also serious authorship changes to the paper made during revision, without validation or authorisation. Two authors were removed at the first revision. One author was added at the paper's first revision (As'ad Alizadeh). The Corresponding Author was changed during the production stage without exceptional approval of the Editor (from Dan Wang to Tao Hai, As'ad Alizadeh and Sattam Fahad Almojil). Additionally, the name of an author was changed at the proofing stage, again, without exceptional approval of the Editor (Kamal Sharma to Aman Sharma). This breached the journal's policy on authorship. The Corresponding (and other) Authors responded to requests for clarification on the question of authorship and referencing, but those explanations did not satisfactorily address the concerns. As such and due to the nature of the irregularities uncovered, the Editor has lost confidence in the validity/integrity and findings of the article and decided to retract the article. The scientific community takes a very strong view on this matter and apologies are offered to readers. ©

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Data-Driven Modeling and Random Search optimization Method for the Polysilicon Cvd Reactor

SSRN

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SSRN 2022年

作者： Xi, Bangwen Xiong, Gang Shen, Zhen Tamir, Tariku Sinshaw He, Chang Song, Yonggang Liu, Xiong State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing100190 China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan523808 China Intelligent Manufacturing Center Qingdao Academy of Intelligent Industries Qingdao266109 China Xinte Energy Co. Ltd Urumqi830000 China

Polysilicon is mainly obtained by chemical vapor deposition(CVD) reaction, in which hydrogen gas and trichlorosilane(TCS) are fed into the CVD reactor to produce polysilicon. However, the feeding parameters are mainly adjusted in a step-by-step manner according to the actual deposition results, which is inefficient to optimize and prone to resource wastage. In this paper, based on the existing mechanistic model of the CVD reactor, we combine the history data with the specific parameters to construct a simulator. A random search algorithm is used to determine the optimal feeding parameters. With the simulator, the polysilicon productivity can be increased by 704 kg, and the power consumption reduced by 3.8 kWh/kg. © 2022, The Authors. All rights reserved.

关键词： Simulators

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Implementing prescribed-time convergent control: sampling and robustness

arXiv

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arXiv 2022年

作者： Haimovich, Hernan Aldana-Lopez, Rodrigo Seeber, Richard Gomez-Gutierrez, David CONICET-UNR Ocampo y Esmeralda Rosario2000 Argentina Zaragoza Spain Graz University of Technology Institute of Automation and Control Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems Graz Austria Intel Tecnología de México Intel Labs Intelligent Systems Research Lab Jalisco Mexico Tecnológico Nacional de México Instituto Tecnológico José Mario Molina Pasquel y Henríquez Unidad Académica Zapopan Jalisco Mexico

According to recent results, convergence in a prespecified or prescribed finite time can be achieved under extreme model uncertainty if control is applied continuously over time. This paper shows that this extreme amount of uncertainty cannot be tolerated under sampling, not even if sampling could become infinitely frequent as the deadline is approached, unless the sampling strategy were designed according to the growth of the control action. Robustness under model uncertainty is analyzed and the amount of uncertainty that can be tolerated under sampling is quantified in order to formulate the least restrictive prescribed-time control problem that is practically implementable. Some solutions to this problem are given for a scalar system. Moreover, either under a-priori knowledge of bounds for initial conditions, or if the strategy can be selected after the first measurement becomes available, it is shown that the real, practically achievable objectives can also be reached with linear time-invariant control and uniform sampling. These derivations serve to yield insight into the real advantages that implementation of prescribed-time controllers may have. Copyright © 2022, The Authors. All rights reserved.

关键词： Linear control systems

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On inherent limitations in robustness and performance for a class of prescribed-time algorithms

arXiv

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arXiv 2022年

作者： Aldana-López, Rodrigo Seeber, Richard Haimovich, Hernan Gómez-Gutiérrez, David Zaragoza Spain Graz University of Technology Institute of Automation and Control Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems Graz Austria CONICET-UNR Rosario2000 Argentina Intel Tecnología de México Intel Labs Intelligent Systems Research Lab Jalisco Mexico Tecnológico Nacional de México Instituto Tecnológico José Mario Molina Pasquel y Henríquez Unidad Académica Zapopan Jalisco Mexico

Prescribed-time algorithms based on time-varying gains may have remarkable properties, such as regulation in a user-prescribed finite time that is the same for every nonzero initial condition and that holds even under matched disturbances. However, at the same time, such algorithms are known to lack robustness to measurement noise. This note shows that the lack of robustness of a class of prescribed-time algorithms is of an extreme form. Specifically, we show the existence of arbitrarily small measurement noises causing considerable deviations, divergence, and other detrimental consequences. We also discuss some drawbacks and trade-offs of existing workarounds as motivation for further analysis. © 2022, CC BY-NC-ND.

关键词： Economic and social effects

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