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IET International Radar Conference 2023, IRC 2023

作者： Zhang, Lewen Rong, Yao Tang, Mengjiao Du, Xiaolin Li, Fan Yunnan Key Laboratory of Statistical Modeling and Data Analysis Yunnan University Kunming China School of Computer and Control Engineering Yantai University Yantai China CAAC Key Laboratory of Flight Techniques and Flight Safety Civil Aviation Flight University of China Guanghan China

ISBN: (纸本)9781839539954

This paper provides a novel estimation procedure for determining the number of high-dimensional complex-valued signals embedded in Gaussian white noise. Initially, this problem is formulated as a sequence of nested hypothesis tests. To enhance the decision performance, we introduce new test statistics based on the ratio of the fourth- and square second-order moments of the population covariance eigenvalues. This enables us to leverage higher-order moments information in the observed data, distinguishing it from conventional tests that rely solely on the first and second order moments. In the context of high-dimensional, complex-valued data and within a sub-sphericity testing framework, unbiased and consistent estimates are derived for these two higher-order moments. Subsequently, we conduct an asymptotic analysis to incoporate these estimates into the construction of the test statistics and the design of our proposed estimation scheme for determining the number of sources. Finally, numerical examples are presented to show its effectiveness and superiority over several classical estimation methods. © The Institution of engineering & Technology 2023.

关键词： White noise

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Possible shunt compensation strategies based on Conservative Power Theory

Possible shunt compensation strategies based on Conservative...

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International school on Nonsinusoidal Currents and Compensation (ISNCC)

作者： Fernando P. Marafão Danilo I. Brandão Helmo K. Morales Paredes Luiz C. P. da Silva Control and Automation Engineering Unesp University Estadual Paulista Sorocaba Brazil School of Electrical and Computer Engineering State University of Campinas-UNICAMP Campinas Brazil

ISBN: (纸本)9781424454365;9781424454358

Considering the Conservative Power Theory (CPT), this paper proposes some novel compensation strategies for shunt passive or active devices. The CPT current decompositions result in several current terms, which are associated with specific physical phenomena (average power consumption P, energy storage Q, load and source distortion D, unbalances N). These current components were used in this work for the definition of different current compensators, which can be selective in terms of minimizing particular disturbing effects. Compensation strategies for single and three-phase four-wire circuits have also been considered. Simulation results have been demonstrated in order to validate the possibilities and performance of the proposed strategies.

关键词： Active filters Power harmonic filters Circuits Voltage Shunt (electrical) Energy consumption Energy storage Power filters Reactive power control Power system harmonics

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Intelligent Analysis of Differences in Electricity Industry Standards Through Natural Language Processing 5

Intelligent Analysis of Differences in Electricity Industry ...

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5th International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2023

作者： Gao, Xiaoxin Liu, Yongqing Sun, Ming Guan, Wangning Beijing China-Power Information Technology Co. Ltd. Beijing China State Grid Information & Telecommunication Group Co. Ltd. Beijing China North China Electric Power University School of Control and Computer Engineering Beijing China

ISBN: (纸本)9781643684840

This paper presents an intelligent method for analyzing differences in the electricity industry standards by utilizing natural language processing. The main goal of this approach is to detect variations between standards and identify their distinguishing factors, aiming to enhance standardization, regulation, and consistency. Consequently, it will improve the safety and reliability of electricity equipment and systems while reducing production, operation, and management costs. To begin with, the paper constructs a dataset of electricity standard differences based on the open-world assumption theory. Then, it employs a noisy technique to fine-tune the SBERT model, enabling the identification of discrepancies in electricity standard clauses. Lastly, by optimizing the SimCSE model using a relaxed optimal transport distance, the interpretability of the model is enhanced, and a matrix representing text similarity is generated. This matrix facilitates the visualization of discrepancies in clause text. The proposed method achieves precision and recall rates of 81.26% and 82.90%, respectively, for identifying standard discrepancies. By employing this method, not only can the sustainability of the electricity industry be improved, but it also provides valuable data and decision-making references for electricity enterprises to effectively address issues related to standard management and implementation. © 2024 The Authors.

关键词： Decision making

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A design consideration of output filters for dynamic voltage restorers

A design consideration of output filters for dynamic voltage...

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Annual IEEE Conference on Power Electronics Specialists (PESC)

作者： Hyosung Kim Jang-Hwan Kim Seung-Ki Sul Department of Control Engineering Cheonan National Technical College South Korea School of Electrical Engineering & Computer Science Seoul National University South Korea

ISBN: (纸本)0780383990

The cutoff frequency of a LC output filter for dynamic voltage restorers (DVR) limits the control bandwidth of a DVR system and the attenuation factor against the inverter switching ripples. For a selected cutoff frequency of a LC output filter, infinite number of L-C combinations is possible. Although different L-C combination has different filter characteristics, the filter design on L-C combination has been depended on field experiences without clear analysis. This paper proposes a design criterion and a design example for the L-C filter combination considering the control characteristics and the size of DVRs. An experimental DVR system based on the proposed LC output filter design methodology is built and tested.

关键词： Filters Cutoff frequency Voltage control control systems Bandwidth Attenuation Inverters Size control Design methodology System testing

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Power management by brain emotional learning algorithm

Power management by brain emotional learning algorithm

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International Conference on ASIC

作者： Mehrzad Samadi Ali Afzali-Kusha Caro Lucas Nanoelectronics Center of Exellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

Nowadays having the most energy efficiency is desirable in its own right from both economical and environmental points of view. Dynamic power management is a system level solution for reducing the consumed energy with putting off unused parts of the system and putting them on in an efficient time. The Emotional Learning Algorithm has been introduced to show the effect of emotions as well known stimuli in the quick and almost satisfying decision making in human. The remarkable properties of emotional learning, low computational complexity and fast training, and its simplicity in multi objective problems has made it a powerful methodology in real time control and decision systems, where the gradient based methods and evolutionary algorithms are hard to be used due to their high computational complexity. Recently the emotional approach has been successfully used to obtain multiple objectives in prediction problems of real world phenomena. At first we introduce methods of dynamic power management and then a new method based on BELBIC would be explained. The simulation results show that this method has a high efficiency in various systems.

关键词： Energy management Power system management Computational complexity Energy efficiency Power system economics Power generation economics Economic forecasting Environmental economics Decision making Humans

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An improved ant colony optimization for communication network routing problem

An improved ant colony optimization for communication networ...

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Dongming Zhao Liang Luo Kai Zhang School of Electronic Engineering and Computer Science Peking University Beijing China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

Ant colony optimization (ACO) is a population-based meta-heuristic for combinatorial optimization problems such as communication network routing problem (CNRP). This paper proposes an improved ant colony optimization (IACO), which adapts a new strategy to update the increased pheromone, called ant-weight strategy, and a mutation operation, to solve CNRP. The simulation result for a benchmark problem is reported and compared to the simple ant colony optimization (ACO).

关键词： Ant colony optimization Communication networks Routing DNA computing Encoding Sequences Algorithm design and analysis Concurrent computing Constraint optimization Design optimization

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Research on fault diagnosis of geothermal heat pump based on EEMD and kmeans++

Research on fault diagnosis of geothermal heat pump based on...

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IEEE Information Technology and Mechatronics engineering Conference (ITOEC)

作者： Ming Zhao Zhengjun Guo Yang Liu Hui Li He Li Yun Li School of Computer and Information Engineering Harbin University of Commence Harbin China Heilongjiang ZN Control Engineering Co. Ltd. Harbin China

With the development of technology and sustainable concept, ground source heat pump has gradually emerged in the heating industry, which is a new heating technology with the advantages of clean and high efficiency. However, with the continuous operation of the heat pump system, various faults may occur in the internal equipment of the system, such as evaporator fouling, compressor leakage, refrigerant line blockage, etc. It is of great practical significance to identify the fault types accurately and effectively. In this paper, the signal processing method adopts the ensemble empirical mode decomposition, which decomposes the collected ground source heat pump system signals, retains the relevant modal parameters and removes the residual terms, then evaluates each modal component using the approximate entropy as the feature evaluation index, and clusters the entropy values into feature vectors to determine the fault types. The experimental results show that the algorithm based on the combination of ensemble empirical mode decomposition and clustering can be applied to the fault diagnosis accuracy of ground source heat pump systems.

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Convergence Analysis of Gaussian Belief Propagation for Distributed State Estimation

Convergence Analysis of Gaussian Belief Propagation for Dist...

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IEEE Annual Conference on Decision and control

作者： Tianju Sui Damian E. Marelli Minyue Fu Department of Control Science and Engineering Zhejiang University Hangzhou 310013 China School of Electrical Engineering and Computer Science University of Newcastle NSW 2308 Australia

ISBN: (纸本)9781479978878

Belief propagation (BP) is a well-celebrated iterative optimization algorithm in statistical learning over network graphs with vast applications in many scientific and engineering fields. This paper studies a fundamental property of this algorithm, namely, its convergence behaviour. Our study is conducted through the problem of distributed state estimation for a networked linear system with additive Gaussian noises, using the weighted least-squares criterion. The corresponding BP algorithm is known as Gaussian BP. Our main contribution is to show that Gaussian BP is guaranteed to converge, under a mild regularity condition. Our result significantly generalizes previous known results on BP's convergence properties, as our study allows general network graphs with cycles and network nodes with random vectors. This result is expected to inspire further investigation of BP and wider applications of BP in distributed estimation and control.

关键词： State estimation Belief propagation Converge Gauss Gaussian noise Statistical learning Distribute Optimization algorithms

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Exponential Synchronization for Mobile Robotic Formation: A Hybrid Dynamic Event-Triggered Intermittent control Method

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-10页

作者： Chang, Zhenyu Guo, Ying Zong, Guangdeng Qi, Wenhai Zhao, Xudong School of Control Science and Engineering Tiangong University Tianjin China School of Computer Science Beijing University of Posts and Telecommunications Beijing China School of Engineering Qufu Normal University Rizhao China Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian China

To address the formation tracking issue of mobile robotic systems, this paper constructs a novel hybrid dynamic event-triggered intermittent control strategy, which can achieve the exponential synchronization of the systems. Considering the limited control resources, the intermittent control method is introduced into the distributed control strategy to save resources, and the existing intermittent control model is reconstructed to describe the system model better. A hybrid dynamic event-triggered mechanism is developed by combining the dynamic event-triggered method with the time sampling strategy, eliminating the Zeno phenomenon. The control time sequences in the developed intermittent control strategy are automatically selected by the hybrid dynamic event-triggered sequences, rather than artificially designed in advance, which reduces a certain degree of design complexity. The developed control strategy effectively saves control resources while alleviating the burden of network communication. Sufficient conditions for achieving exponential synchronization formation tracking are provided, and the exponential convergence of the formation error is demonstrated through the proposed lemma. Finally, a control task of multi-mobile robots formation is presented to verify the effectiveness of the theoretical analysis. IEEE

关键词： Synchronization

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Solving the 0–1 multi-objective knapsack problem using self-assembly of DNA tiles

Solving the 0–1 multi-objective knapsack problem using self...

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Uzhen Cheng Yufang Huang Zhihua Chen Xuncai Zhang Jin Xu Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China School of Electronics Engineering and Computer Science Peking University Beijing China

Recently, many researchers have demonstrated that computation by DNA tile self-assembly may be scalable and it is considered as a promising technique in nanotechnology. In this paper, we show how the tile self-assembly process can be used for solving the 0-1 multi-objective knapsack problem by mainly constructing four small systems which are nondeterministic guess system, multiplication system, addition system and comparing system, by which we can probabilistically get the feasible solution of the problem. Our model can successfully perform the 0-1 multi-objective knapsack problem in polynomial time with optimal Theta(1) distinct tile types, parallely and at very low cost.

关键词： Self-assembly Tiles DNA computing Concurrent computing Crystals Assembly Nanotechnology NP-complete problem Nanostructures Cryptography

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