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31st IASTED International Conference on Modelling, Identification, and control, MIC 2011

作者： Werner-Stark, Agnes Gerzson, Miklós Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Egyetemstr. 10 Veszprém Hungary Process Control Research Group Computer and Automation Research Institute HAS Budapest Hungary

ISBN: (纸本)9780889868632

A novel structure identification procedure for discrete event systems described by Petri nets are proposed in this paper for model-based diagnostic purposes that utilize the notions and tools of process mining. The identification of the structurally different discrete event system models describing a system in its normal and/or faulty modes was used for model-based isolation of the considered faulty modes. From the available process mining techniques that allow for the automatic construction of process models in Petri net form based on event logs, the genetic algorithm-based structure identification procedure has been found to be most capable of identifying the characteristic structural elements of the faulty models. The proposed procedures are illustrated on a simple example of an operated parking gate automaton with two faulty modes.

关键词： Discrete event simulation

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Model structure validation of cell signaling pathways using colored petri nets

Model structure validation of cell signaling pathways using ...

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8th International Symposium on Advanced control of Chemical Processes, ADCHEM 2012

作者： Csercsik, Dvid Hangos, Katalin M. Process Control Research Group Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary

ISBN: (纸本)9783902823052

In this paper we propose a novel colored timed Petri net modelling approach for model structure validation of cell signaling pathways. The aim is to distinguish between models of different structures based on typically qualitative, roughly detailed measurement data. In this approach, tokens are present all the time at all of the places, and their color corresponds to the actual quantized activation state of the signaling component. The activation states are updated according to the progression of the signal through the signaling network. We demonstrate the results on a signaling network, which describes the interaction of fast (G protein coupled) and slow (β-arrestin coupled) transmission. © 2012 IFAC.

关键词： Cell signaling

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Identifiability of a Hodgkin-Huxley type ion channel under voltage step measurement conditions

Identifiability of a Hodgkin-Huxley type ion channel under v...

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9th International Symposium on Dynamics and control of Process Systems, DYCOPS 2010

作者： Csercsik, D. Szederkényi, Gábor Hangos, Katalin M. Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary

ISBN: (纸本)9783902661692

In this paper, we analyze the identifiability properties of a Hodgkin-Huxley (HH) type voltage dependent ion channel model under voltage clamp circumstances. The elimination of the differential variables is performed, and the identifiability of various parameters is analyzed using the differential algebra approach and the algorithm based on the Taylor series expansion of the output. It is shown that the model is structurally non-identifiable using certain commonly applied parametrizations, and hidden dependences between physical parameters are unravelled. Using the results of the identifiability analysis, physically meaningful examples are shown when the model parameters are different but the system outputs are identical. © 2009 IFAC.

关键词： control applications in biological processes Modeling and identification

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A hyperbolic view on robust control 19

A hyperbolic view on robust control

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Szabó, Z. Bokor, J. Vamos, T. Institute for Computer Science and Control Hungarian Academy of Sciences Hungary Institute for Computer Science and Control Hungarian Academy of Sciences MTA-BME Control Engineering Research Group Hungary

ISBN: (纸本)9783902823625

The intention of the paper is to demonstrate the beauty of geometric interpretations in robust control. We emphasize Klein's approach, i.e., the view in which geometry should be defined as the study of transformations and of the objects that transformations leave unchanged, or invariant. We demonstrate through the examples of the basic control tasks that a natural framework to formulate different control problems is the world that contains as points the equivalence classes determined by the stabilizable plants and whose natural motions are the Möbius transforms. Transformations of certain hyperbolic spaces put light into the relations of the different approaches, provide a common background of robust control design techniques and suggest a unified strategy for problem solutions. Besides the educative value a merit of the presentation for control engineers might be a unified view on the robust control problems that reveals the main structure of the problem at hand and give a skeleton for the algorithmic development. © IFAC.

关键词： Robust control

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PDP: Parallel Dynamic Programming

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IEEE/CAA Journal of Automatica Sinica 2017年第1期4卷 1-5页

作者： Fei-Yue Wang Jie Zhang Qinglai Wei Xinhu Zheng Li Li IEEE State Key Laboratory of Management and Control for Complex Systems(SKL-MCCS) Institute of AutomationChinese Academy of Sciences(CASIA) School of Computer and Control Engineering University of Chinese Academy of Sciences Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences(SKL-MCCSCASIA) Qingdao Academy of Intelligent Industries Department of Computer Science and Engineering University of Minnesota Department of Automation Tsinghua University

Deep reinforcement learning is a focus research area in artificial intelligence. The principle of optimality in dynamic programming is a key to the success of reinforcement learning methods. The principle of adaptive dynamic programming ADP is first presented instead of direct dynamic programming DP , and the inherent relationship between ADP and deep reinforcement learning is developed. Next, analytics intelligence, as the necessary requirement, for the real reinforcement learning, is discussed. Finally, the principle of the parallel dynamic programming, which integrates dynamic programming and analytics intelligence, is presented as the future computational intelligence. © 2014 Chinese Association of automation.

关键词： Artificial intelligence Neural networks Reinforcement learning

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Innovative dust detection and efficient cleaning of PV Panels: A CNN‑RF approach using I–V curve data transformed into RGB mosaics

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Energy Conversion and Management: X 2025年

作者： Safia Babikir Bashir Mena Maurice Farag Abdul-Kadir Hamid Ali A. Adam Ramesh C. Bansal Nsilulu T Mbungu A. Elnady Ahmed G. Abo-Khalil Mousa Hussein Smart Grid Research Group Sustainable Energy and Power Systems Research Center Research Institute of Sciences and Engineering (RISE) Department of Electrical Engineering University of Sharjah Sharjah 27272 United Arab Emirates Smart Automation and Communication Technologies Research Center (SACT) University of Sharjah 27272 Sharjah United Arab Emirates Department of Electrical Electronic and Computer Engineering University of Pretoria Pretoria South Africa Department of Electrical and Communication Engineering United Arab Emirates University Al Ain United Arab Emirates

Photovoltaic (PV) panels are vital for renewable energy generation, yet their efficiency is critically hindered by environmental challenges such as dust accumulation, especially in arid regions like the UAE. Dust buildup can reduce efficiency by up to 30% within a month, threatening the sustainability of solar power, which is projected to supply 10% of global energy by 2030. Existing cleaning methods are unsustainable, consuming an estimated 10 billion gallons of water annually, enough to meet the drinking needs of 2 million people, necessitating the development of a cost-effective, resource-efficient alternative. This research presents a novel machine learning-based system to automate dust detection and optimize cleaning, significantly reducing water consumption while improving power generation efficiency. The methodology transforms I-V curve electrical parameters into RGB mosaic images, enabling precise classification of operational states such as normal operation, dust accumulation, shading, and faults without relying on external imaging devices. The system is built on a hybrid model combining Convolutional Neural Networks (CNN) and Random Forest (RF) classifiers (CNN-RF), where the CNN extracts high-level features from RGB mosaic images, and the RF classifier accurately categorizes operational states. Upon detecting dust accumulation, a secondary CNN-RF model classifies the severity into low, moderate, or heavy, guiding an optimized cleaning process that minimizes water usage while maintaining cleaning effectiveness. The primary CNN-RF model achieved 100% accuracy in classifying operational states using RGB mosaic images, surpassing the 97% accuracy achieved by I–V curve-based methods. Furthermore, the secondary CNN-RF model for dust severity classification attained an accuracy of 98% using RGB mosaic images, compared to only 68% when using traditional I–V curves, highlighting the superior performance of RGB mosaic images in detecting fine-grained dust levels. T

关键词： Automated Cleaning Convolutional Neural Networks Dust Detection Machine Learning Photovoltaics

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Reducing the Modeling Error by Observer Based PID Regulators for a Class of Factorable Nonlinear Plants

Reducing the Modeling Error by Observer Based PID Regulators...

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作者： Keviczky, L. Bányász, Cs. Institute of Computer Science and Automation MTA-BME Control Engineering Research Group Hungarian Academy of Sciences H-1111 Budapest Kende u 13-17 Hungary

A PID regulator tuning method is introduced for HAMMERSTEIN and WIENER type block-oriented cascade factorable nonlinear models. Then the YOULA-parameterization approach is discussed which allows to develop an observer... 详细信息

关键词： Proportional control systems

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Steady-state Voltage Security-constrained Optimal Frequency control for Weak HVDC Sending-end AC Power Systems

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Journal of Modern Power Systems and Clean Energy 2024年第2期12卷 658-669页

作者： Qiangqiang Wang Liangzhong Yao Jian Xu Yuping Zheng Wei Li Wei Wang School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network(Wuhan University) Wuhan 430072China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation(State Grid Electric Power Research Institute)Nanjing 211106China

Due to the fact that a high share of renewable energy sources(RESs)are connected to high-voltage direct current(HVDC)sending-end AC power systems,the voltage and frequency regulation capabilities of HVDC sending-end AC power systems have *** has resulted in potential system operating problems such as overvoltage and overfrequency,which occur simultaneously when block faults exist in the HVDC *** this study,a steady-state voltage security-constrained optimal frequency control method for weak HVDC sending-end AC power systems is *** integrated virtual inertia control of RESs is employed for system frequency *** dynamic reactive power compensation devices are utilized to control the voltage of all nodes meet voltage security ***,an optimization model that simultaneously considers the frequency and steady-state voltage security constraints for weak HVDC sending-end AC power systems is *** optimal control scheme with the minimum total cost of generation tripping and additional dynamic reactive power compensation required is obtained through the optimization *** are conducted on a modified IEEE 9-bus test system and practical Qing-Yu line commutated converter based HVDC(LCC-HVDC)sending-end AC power system to verify the effectiveness of the proposed method.

关键词： Renewable energy source(RES) high-voltage direct current(HVDC) AC power system optimal frequency control steady-state voltage security dynamic reactive power compensation

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Knowledge-based diagnosis of process systems using procedure HAZID information

Knowledge-based diagnosis of process systems using procedure...

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Lecture Notes in computer Science

作者： Werner-Stark, Ágnes Németh, Erzsébet Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary School of Chemical Engineering University of Queensland Brisbane QLD Australia Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Budapest Hungary

ISBN: (纸本)9783642238536

Earlier investigations show that the results of hazard identification (HAZID) and analysis (e.g. HAZOP or FMEA) can effectively be used for knowledge-based diagnosis of complex process systems in their steady-state operation. In order to extend this approach for transient operating conditions controlled by operating procedures, the notion of nominal input-output event sequences of qualitative signals has been introduced, and the deviations used in the procedure HAZID analysis have been defined therefrom. The diagnosis can then be performed algorithmically by matching the deviation sequences of the observed input-output event sequences and the nominal ones generated by qualitative dynamic models. The concepts and methods are illustrated using a simple case study consisting of a simple tank, controlled by an operating procedure. © 2011 Springer-Verlag.

关键词： Hazards

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An algorithm for recognizing palm polygons

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The Visual computer 1994年第8期10卷 443-451页

作者： Ghosh, Subir Kumar Maheshwari, Anil Pal, Sudebkumar Prasant Madhavan, C.E.Veni Computer Science Group Tata Institute of Fundamental Research Bombay 400005 India Computer Systems and Communications Group Tata Institute of Fundamental Research Bombay 400005 India Department of Computer Science and Engineering Indian Institute of Technology Kharagpur 721302 India Department of Computer Science and Automation Indian Institute of Science Bangalore 560012 India

A polygon P is said to be a palm polygon if there exists a point x∈P such that the Euclidean shortest path from x to any point y∈P makes only left turns or only right turns. The set of all such points x is called the palm kernel. In this paper we propose an O(E) time algorithm for recognizing a palm polygon P, where E is the size of the visibility graph of P. The algorithm recognizes the given polygon P as a palm polygon by computing the palm kernel of P. If the palm kernel is not empty, P is a palm polygon. © 1994 Springer-Verlag.

关键词： Computational geometry Kernel Palm polygon Visibility graph Weak visibility polygon

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