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Quantum Computing and engineering (QCE), IEEE International Conference on

作者： Salahuddin Abdul Rahman Özkan Karabacak Rafal Wisniewski Department of Electronic Systems Section of Automation and Control Aalborg University Aalborg Denmark Department of Mechatronics Engineering Kadir Has University Istanbul Turkey

ISBN: (数字)9798331541378

ISBN: (纸本)9798331541385

Drawing inspiration from the Lyapunov control technique for quantum systems, feedback-based quantum al-gorithms have been proposed for calculating the ground states of Hamiltonians. In this work, we consider extending these algorithms to tackle calculating excited states. Inspired by the weighted subspace-search variational quantum eigensolver al-gorithm, we propose a novel weighted feedback-based quantum algorithm for excited state calculation. We show that depending on how we design the weights and the feedback law, we can prepare the pth excited state or lowest energy states up to the pth excited state. Through an application in quantum chemistry, we show the effectiveness of the proposed algorithm, evaluating its efficacy via numerical simulations.

关键词： Quantum system Quantum algorithm Quantum chemistry Stationary state Numerical simulation Energy states

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Switching Multi-regulator control of Electro-Hydraulic Servo System

Switching Multi-regulator Control of Electro-Hydraulic Servo...

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Automatics and Informatics (ICAI), International Conference

作者： Georgi Mihalev Stanimir Yordanov Krasimir Ormandzhiev Department of Automation Information and Control Systems Technical University of Gabrovo Gabrovo Bulgaria Department of Power Engineering Technical University of Gabrovo Gabrovo Bulgaria

ISBN: (数字)9798350353907

ISBN: (纸本)9798350353914

The paper proposes a switching multi-regulator control for an electro-hydraulic servo system with throttle regulation. The architecture of the multi-regulator control, composed of three conventional regulators (PID 1 , PI 2 , PI 3 ) for different regions of the setpoint signal variation and switching logic, is discussed. The main issues arising from the use of such control are considered, and an analysis of the stability of the closed-loop system is conducted. Some mathematical formulas and descriptions are presented. Using a universal measurement and control module, graphical results for the quality of the designed control are obtained. The advantages of this type of control and the emergence of additional robust qualities of the system are experimentally proven.

关键词： Technical requirements System dynamics Stability criteria Switches Real-time systems Time factors Electrohydraulics Closed loop systems Servomotors Transient analysis

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A Novel Three-Phase Passive Auxiliary Resonant Pole Soft-Switching Inverter With Symmetrical Auxiliary Networks and Electric Energy Feedback Function

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International Journal of Circuit Theory and Applications 2025年第0期

作者： Wang, Shuyu Liu, Hongchen Gao, Fei Wheeler, Patrick School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China Department of Engineering Science Shanghai Jiao Tong University Shanghai China Power Electronics Machines and Control Research Institute University of Nottingham Santiago Chile

To solve the problems of high cost, large additional component size, large circulating loss, and complex control in existing auxiliary resonant soft-switching inverters, a three-phase passive auxiliary resonant pole inverter (ARPI) with symmetrical auxiliary networks and electric energy feedback function is proposed. On each phase bridge arm of the inverter, a set of passive auxiliary networks (PANs) without large electrolytic capacitors, transformers, and other devices is provided, which is capable of enhancing the power density of the inverter. Additionally, as the auxiliary commutation circuit does not employ auxiliary switches, it not only lowers the hardware cost but also simplifies the control complexity and enhances the reliability of the soft-switching inverter operation. The proposed topology is capable of enhancing the utilization ratio of DC voltage and reducing the harmonic content of the output waveform. According to the equivalent circuit diagrams in different operating modes, the soft-switching operating principle and realization conditions of soft-switching for the proposed ARPI are analyzed. The parameters of passive components are designed with the aim of minimizing the PAN loss. A 3-kW experimental prototype is constructed. The experimental results indicate that the switching tubes can realize the soft-switching action and suppress the rate of change of voltage and current. The efficiency of the prototype can reach 98.30% at the rated output power, which is a remarkable improvement compared with the same type of ARPIs. © 2025 John Wiley & Sons Ltd.

关键词： Poles

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Anomaly Detection Based on Principle of Justifiable Granularity and Probability Density Estimation

Anomaly Detection Based on Principle of Justifiable Granular...

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2023 China automation Congress, CAC 2023

作者： Du, Sheng Ma, Xian Li, Xiang Wu, Min Cao, Weihua Pedrycz, Witold School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Istinye University Faculty of Engineering and Natural Sciences Department of Computer Engineering Istanbul Sariyer Turkey

ISBN: (纸本)9798350303759

Anomaly detection is essential to ensure the safety of industrial processes. This paper presents an anomaly detection approach based on the probability density estimation and principle of justifiable granularity. First, time series data are transformed into a two-dimensional information granule by the principle of justifiable granularity. Then, the test statistic is constructed, and the probability density and cumulative distribution functions of the test statistic are calculated. Next, the confidence level determines the test threshold. Finally, the time series data of a key parameter in the sintering process is used as a case study. The experimental result demonstrates that the proposed approach can detect abnormal time series data effectively, providing an accurate and effective solution for detecting time series anomalies in industrial processes. © 2023 IEEE.

关键词： Time series

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A Low-Carbon Planning Strategy for Integrated Energy System and Hydrogen Refueling Stations with the Retirement of Oil Stations

SSRN

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SSRN 2023年

作者： Zhang, Xian Yin, Yue Wu, Ting Qiu, Jing Wang, Guibin Department of Mechanical Engineering and Automation Harbin Institute of Technology China Department of Electrical and Information Engineering The University of Sydney Australia College of Mechatronics and Control Engineering Shenzhen University China

Hydrogen vehicles (HVs) are believed to be an effective alternative to fossil fuel vehicles for carbon emission reduction. However, the advantage of HVs highly depends on the carbon emissions in the process of hydrogen production. In this paper, a novel two-milestone collaborative planning model is proposed to achieve carbon reduction by integrated energy network transformation. Firstly, in milestone Ⅰ, a low-carbon power system is established by dynamically retiring coal-fired power plants and promoting renewable energy. In milestone Ⅱ, with the help of the carbon emission flow model, hydrogen production stations are innovatively constructed at the nodes with extremely low carbon emission intensity in the power system. Different methods of hydrogen production are adopted, and the coupling of the power and hydrogen networks are effectively employed. Additionally, oil stations are constantly withdrawing under the construction of hydrogen refueling stations for further emission reduction, where the dilemma of cost and environmental concerns is addressed by minimizing the average cost of carbon emission reduction. Finally, the simulation results of a coupled 24-bus power system, 7-point natural gas system, and 9-node hydrogen system verify the effectiveness of the proposed model in establishing an eco-friendly energy system. © 2023, The Authors. All rights reserved.

关键词： Hydrogen production

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Streaming-Data-Driven Distributionally Robust Joint Operation of Multi-Microgrids and Off-Site Hydrogen Refueling Stations under Uncertainties 11

Streaming-Data-Driven Distributionally Robust Joint Operatio...

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11th International Conference on Innovative Smart Grid Technologies - Asia, ISGT-Asia 2022

作者： Li, Longyan Ning, Chao Qiu, Haifeng Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Department of Automation Shanghai China School of Electrical & Electronic Engineering Nanyang Technological University Singapore Singapore

ISBN: (纸本)9798350399660

This paper proposes a novel online-learning-enabled hierarchical distributionally robust energy management framework for multi-microgrids (MMGs) with off-site hydrogen refueling stations (HRSs). The proposed framework integrates day-ahead scheduling, intra-day rescheduling and real-time control. The day-ahead scheduling is implemented via a central energy management system for optimal joint scheduling of the MMG systems and off-site HRSs, then the intra-day rescheduling is carried out to optimize the real-time operation and to generate the reference for local controllers. To adequately characterize the statistical properties of renewable and load uncertainties from data streams, we leverage a Dirichlet process mixture model to construct an online-update ambiguity set, which encodes multimodality and local moment information. Based upon this ambiguity set, an online-learning distributionally robust model predictive control (OL-DRMPC) is developed to enhance the tracking performance of energy storage references and to reduce conservatism while guaranteeing probabilistic operational constraints. Its effectiveness is verified in a case study. © 2022 IEEE.

关键词： Real time control

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Data-Driven Robust Optimization for Energy Chemical Processes under Uncertainties: A Review and Tutorial 4

Data-Driven Robust Optimization for Energy Chemical Processe...

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4th International Conference on Industrial Artificial Intelligence, IAI 2022

作者： Ning, Chao Li, Longyan Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Shanghai200240 China

ISBN: (数字)9781665451208

ISBN: (纸本)9781665451208

In recent years, data-driven robust optimization (DDRO) is becoming a popular and effective paradigm to address the challenging issue of uncertainty in energy chemical processes. This paper provides an overview of recent advances in the field of DDRO, with a primary focus on its methods and applications in process industries. Firstly, a brief introduction to various robust optimization model formulations and solution algorithms is presented. Secondly, research achievements of machine-learning enabled uncertainty sets, the corresponding DDRO, and variant techniques are summarized and analyzed in a systematic manner. Additionally, tutorial-like numerical examples are used to illustrate merits of DDRO compared with conventional robust optimization. Finally, fruitful applications of DDRO in energy chemical processes are encapsulated and categorized from domain perspectives. © 2022 IEEE.

关键词： Optimization

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Application of a Modified Multiparametric PID controller for control of an Electrohydraulic Servo System

Application of a Modified Multiparametric PID Controller for...

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Automatics and Informatics (ICAI), International Conference

作者： Stanimir Yordanov Georgi Mihalev Krasimir Ormandzhiev Stefan Ivanov Department of Automation Information and Control Systems Technical University of Gabrovo Gabrovo Bulgaria Department of Power Engineering Technical University of Gabrovo Gabrovo Bulgaria

ISBN: (数字)9798350353907

ISBN: (纸本)9798350353914

The paper proposes a switching multiparametric control for an electrohydraulic servo system with throttle regulation. The architecture of a MISO (Multiple Input Single Output) control is considered, consisting of a conventional PID controller operating in the deviation control channel and a fuzzy PID controller operating in the disturbance channel. The main issues arising from the use of this type of control are discussed, and an analysis of the stability of the closed-loop system is conducted. Graphic results for the control quality of the designed system are obtained using a universal measurement and control module. The advantages of this type of control and the manifestation of additional robust qualities of the system are experimentally demonstrated.

关键词： Process control Switches Stability analysis Regulation Real-time systems Electrohydraulics Servomotors Transient analysis Tuning Thermal stability

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Weighted Feedback-Based Quantum Algorithm for Excited States Calculation

arXiv

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arXiv 2024年

作者： Rahman, Salahuddin Abdul Karabacak, Özkan Wisniewski, Rafal Section of Automation and Control Department of Electronic Systems Aalborg University Aalborg Denmark Department of Mechatronics Engineering Kadir Has University Istanbul Turkey

Drawing inspiration from the Lyapunov control technique for quantum systems, feedback-based quantum algorithms have been proposed for calculating the ground states of Hamiltonians. In this work, we consider extending these algorithms to tackle calculating excited states. Inspired by the weighted subspace-search variational quantum eigensolver algorithm, we propose a novel weighted feedback-based quantum algorithm for excited state calculation. We show that depending on how we design the weights and the feedback law, we can prepare the pth excited state or lowest energy states up to the pth excited state. Through an application in quantum chemistry, we show the effectiveness of the proposed algorithm, evaluating its efficacy via numerical simulations. © 2024, CC BY.

关键词： Hamiltonians

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Distributed Coordinated Optimal control for Synchronous Operation of Virtually Coupled Train Set 27

Distributed Coordinated Optimal Control for Synchronous Oper...

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27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024

作者： Luo, Xiaolin Wang, Dongming Wang, Wei Ji, Yindong Liu, Hongjie Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation Beijing100044 China University of California Department of Electrical and Computer Engineering RiversideCA92521 United States Traffic Control Technology Co. Ltd Beijing100070 China Tsinghua University Department of Automation Beijing100084 China School of Automation and Intelligence Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9798331505929

Virtual coupling technologies have been widely studied in recent years, due to their merits of flexibility and efficiency. However, to operate a virtually coupled train set (VCTS) as a single train, the synchronous operation is still a critical problem to be addressed, especially in arriving. To this end, we propose a distributed coordinated optimal control (DCOC) approach integrated with distributed optimization and model predictive control. First, we formulate a globally coordinated optimal control problem for VCTS, where the states of units in VCTS are coupled in the cost and constraints. Then, we design a distributed algorithm to solve the global problem, where local problems are decoupled into ones with fewer dimensions. Next, we employ distributed model predictive control to guarantee the satisfaction of safety constraints before the convergence of the distributed algorithm. Finally, experimental results demonstrate that our approach can achieve stable and synchronous operation for VCTS and save by 90% computation time than existing centralized approaches. © 2024 IEEE.

关键词： Predictive control systems

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