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19th International Workshop on Robotics in Alpe-Adria-Danube Region, RAAD 2010

作者： Kusić, Dragan Čas, Jure Faculty of Electrical Engineering and Computer Science Institute of Automation University of Maribor Slovenia Faculty of Electrical Engineering and Computer Science Institute of Robotics University of Maribor Slovenia

ISBN: (纸本)9781424468867

This paper describes a position control of 2 degrees of freedom (DOF) XY Piezo Actuator Stage (XY PAS) with Feedforward Neural Network (FNN) and additional Particle Swarm Optimization (PSO) approach, which is used as an improved learning method for optimizing the weights of FNN rather than just the standard technique of back-propagation of errors. XY PAS is fabricated by a photo structuring process from micro-structured photosensitive glass and two piezo actuators (PEAs), which are built-on to meet the request for its precise movement on the working plane with approximate dimensions 60 by 60 micrometres. It is evident from the simulation model of XY PAS, that accurate positional control is an exact piece of work. The FNN is used as adaptive feedforward controller describing the estimated inverse function of XY PAS for each reference position of XY PAS's tip. Due to the optimal control performance of FNN, the PSO is introduced in order to improve the learning method of FNN. A simulation model of the XY PAS and the proposed FNN control algorithm with PSO have been developed in Matlab/Simulink. The obtained results show quick convergence capability and a satisfactory global search. © 2010 IEEE.

关键词： Position control

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Horse Optimization Algorithm: A Novel Bio-Inspired Algorithm for Solving Global Optimization Problems 1

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9th computer science On-line Conference, CSOC 2020

作者： Moldovan, Dorin Faculty of Automation and Computer Science Technical University of Cluj-Napoca Cluj-Napoca Romania

ISBN: (数字)9783030519711

ISBN: (纸本)9783030519704

We introduce a novel bio-inspired algorithm named Horse Optimization Algorithm (HOA) which has as primary source of inspiration the hierarchical organization of the horse herds. The article presents the main principles of the proposed algorithm, the pseudo-code version of the algorithm and a modified version named Discrete Binary Horse Optimization Algorithm (DBHOA). HOA is evaluated and validated using six objective functions and is compared with Chicken Swarm Optimization (CSO) and Cat Swarm Optimization Algorithm (CSOA). Finally, the article presents the application of DBHOA in features selection for data generated in a smart grid for the classification of the stability of the system and it considers as experimental support the Electrical Grid Stability Simulated Dataset. © 2020, Springer Nature Switzerland AG.

关键词： Smart power grids

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Fast convergent on-board Li-ion battery state of charge estimation via back-forth moving horizon estimation

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IEEE Transactions on Power Electronics 2025年

作者： Liu, Zhihao Xiao, Yu Yuan, Yuan Xu, Xiaodong Luo, Biao Huang, Tingwen Ministry of Education School of Automation and Key Laboratory of Industrial Intelligence and Systems Central South University Changsha 410083 China Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen China

Accurate state of charge (SOC) estimation is crucial for the safe operation of lithium-ion batteries (LIBs), yet existing methods are limited by sensitivity to initial SOC guess or high computational complexity. To address these challenges, this study proposes an onboard back-forth moving horizon estimation (BFMHE) framework for SOC estimation, achieving high precision, robustness, and computational efficiency compatible with microcontroller implementation. An efficient linear equivalent circuit model (ECM) is established, where the open-circuit voltage-SOC relationship is approximated by piecewise linear functions. The proposed framework employs two MHE estimators that iteratively operate in opposite directions over a finite time horizon, which enables rapid convergence. Moreover, this study provides a rigorous proof of the stability of the BFMHE method for the battery system with current input. The proposed approach is validated experimentally under various operating conditions and with different initial SOC guesses. Experimental results show that the proposed onboard BFMHE method achieves a maximum estimation error of less than 1% and quickly converges to the true SOC value, demonstrating strong robustness to initial estimation errors. © 1986-2012 IEEE.

关键词： Back-forth moving horizon estimation Convergence analysis Lithium-ion battery State of charge estimation

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Study on optimization of multi-UAV nucleic acid sample delivery paths in large cities under the influence of epidemic environment

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Journal of Ambient Intelligence and Humanized Computing 2023年第6期14卷 7593-7620页

作者： Han, Yuhang Xiang, Hongyu Cao, Jianing Yang, Xiaohua Pan, Nan Huang, Linhai Mechanical Engineering Faculty of Civil Aviation and Aeronautics Kunming University of Science and Technology Yunnan China Computer Science and Technology Metrology Center Yunnan Power Grid Co. Ltd. Yunnan China Computer Science and Technology Faculty of Information Engineering and Automation Kunming University of Science and Technology Yunnan China

In the context of global novel coronavirus infection, we studied the distribution problem of nucleic acid samples, which are medical supplies with high urgency. A multi-UAV delivery model of nucleic acid samples with time windows and a UAV (Unmanned Aerial Vehicle) dynamics model for multiple distribution centers is established by considering UAVs’ impact cost and trajectory cost. The Golden Eagle optimization algorithm (SGDCV-GEO) based on gradient optimization and Corsi variation is proposed to solve the model by introducing gradient optimization and Corsi variation strategy in the Golden Eagle optimization algorithm. Performance evaluation by optimizing test functions, Friedman and Nemenyi test compared with Golden Jackal Optimization (GJO), Hunter-Prey Optimization (HPO), Pelican Optimization Algorithm (POA), Reptile Search Algorithm (RSA) and Golden Eagle Optimization (GEO), the convergence performance of SGDCV-GEO algorithm was demonstrated. Further, the improved RRT (Rapidly-exploring Random Trees) algorithm is used in the UAV path planning, and the pruning process and logistic chaotic mapping strategy are introduced in the path generation method. Finally, simulation experiments are conducted based on 8 hospitals and 50 randomly selected communities in the Pudong district of Shanghai, southern China. The experimental results show that the developed algorithm can effectively reduce the delivery cost and total delivery time compared with simulated annealing algorithm (SA), crow search algorithm (CSA), particle swarm algorithm (PSO), and taboo search algorithm (TS), and the developed algorithm has good uniformity, robustness, and high convergence accuracy, which can be effectively applied to the multi-UAV nucleic acid sample delivery path optimization in large cities under the influence of an epidemic environment. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： COVID-19

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Temperature control of electric furnace based on fuzzy PID

Temperature control of electric furnace based on fuzzy PID

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International Conference on Electronics and Optoelectronics

作者： Yu, Han Jia, Jinling Chen, Guangjian Chen, Xizhen Faculty of Automation and Information Sichuan University of Science and Engineering Zigong China Faculty of Computer Science Sichuan University of Science and Engineering Zigong China

ISBN: (纸本)9781612842738

To electric furnace's characters as non-linear and time-varying, we designed a fuzzy PID controller, and made some simulation through MATLAB, at the same time we used a traditional PID controller and simulated, then compared the result of traditional PID controller with fuzzy PID controller's result and analyzed the property. The result of simulation shows that the speediness, stability and anti-interference ability of fuzzy PID control are superior to those of traditional PID control. © 2011 IEEE.

关键词： MATLAB

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Design of automatic washing machine based on Verilog HDL language

Design of automatic washing machine based on Verilog HDL lan...

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International Conference on Electronics and Optoelectronics

作者： Chen, Xizhen Chen, Guangjian Jia, Jinling Yu, Han Zhou, Tianpeng Faculty of Automation and Information Sichuan University of Science and Engineering Zigong China Faculty of Computer Science Sichuan University of Science and Engineering Zigong China

ISBN: (纸本)9781612842738

As described by digital system the language Verilog HDL is widely used in the circuit design, its own advantages to be able to use software language describe hardware features that makes it has good readability, portability, etc. Its advantages not only reduce the hardware development cycle but also greatly reduce development costs. This article describes the characteristics and application of Verilog HDL and take the automatic washing machine as examples to illustrate the practicality of HDL. The result of simulation shows this method is feasibility and effectiveness. © 2011 IEEE.

关键词： computer hardware description languages

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Personalized therapy selection by using multi-objective optimization

Personalized therapy selection by using multi-objective opti...

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IEEE 16th International Conference on Intelligent Engineering Systems, INES 2012

作者： Karpics, Ivars Institute of Computer Control Automation and Computer Engineering Faculty of Computer Science and Information Technology Riga Technical University Riga Latvia

ISBN: (纸本)9781467326957

In the article a therapy selection method by using topological modelling and multi- objective optimization is presented. In a medicine practice a doctor by taking into the count patients' health state and laboratory results, tries to suggest a treatment strategy, which mostly is a drug therapy. To solve this task a decision support system has been developed and proposed. The system includes a mathematical model of three self connected diseases. Therapies are evaluated by five efficiency objectives. To find the optimal therapy, seven multi- objective methods are selected and used. Optimization methods form decision support module which is implemented in the medical computer system. To evaluate a performance of the system, test examples are analysed. Conclusion includes the summary and proposals of further research. © 2012 IEEE.

关键词： Multiobjective optimization

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Composition of united multiple diseases evolution topological model

Composition of united multiple diseases evolution topologica...

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9th International Symposium on Intelligent Systems and Informatics, SISY 2011

作者： Karpičs, I. Markovičs, Z. Markoviča, I. Institute of Computer Control Automation and Computer Engineering Faculty of Computer Science and Information Technology Riga Technical University Riga Latvia

ISBN: (纸本)9781457719745

Mathematical models are constructed and used as a methodology of various functioning systems structure investigation and performance analysis. The main goal of mathematical model usage is to perform wholesome diagnostics and correct work resumption of investigated system. In the article topological modeling method has been investigated by giving fundamental basics and application spheres by examples. Authors propose model construction method with an example from medicine by creating multiple diseases (arterial hypertension, atherosclerosis and diabetes mellitus) evolution topological model with formal aspects. Developed modeling method and united diseases model can be used to prognosticate evolution of diseases, perform inspection of used therapies and provide information for optimal therapy complex selection. © 2011 IEEE.

关键词： Topology

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Research on the approach of task decomposition in soccer robot system

Research on the approach of task decomposition in soccer rob...

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International Conference on Digital Manufacturing and automation

作者： Chen, Jianping Yang, Yimin Wei, Liang Faculty of Automation Guangdong University of Technology Guangzhou China Faculty of Computer Science Zhaoqing University Zhaoqing China

ISBN: (纸本)9780769542867

Task decomposition is an important research topic of mission planning in multi-robot system, which directly influences on the task allocation effect. Aiming at the task decomposition problem of soccer robot system, this paper proposed an approach of task decomposition based on court division and soccer gravitational field. Firstly, we deeply analyzed the production mechanism of total mission and the characteristic of subtask in soccer robot system;and then, after giving the formalized definition of subtask, we presented the methods to determine subtasks' target point and direction angle as well as the dynamic adjustment strategy of task decomposition scheme. The results of simulation experiment demonstrate that the task decomposition algorithm addressed in this paper has less dependence on environment information of soccer match. It reduces the complexity of task allocation and improves the whole efficiency of mission planning as well. © 2010 IEEE.

关键词： Multipurpose robots

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Sunspot Umbral Oscillation Analysis Using Wavelet Transform 29

Sunspot Umbral Oscillation Analysis Using Wavelet Transform

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第29届中国控制与决策会议

作者： Zeyuan Du Song Feng Yunnan Key Laboratory of Computer Technology Application/Faculty of Information Engineering and Automation Kunming University of Science and Technology

ISBN: (纸本)9781509046584

Umbral oscillation is one kind of basic phenomena appearing in *** measurement the oscillation period is quiet important for understanding the structure and evolution of sunspot.A long line of work indicates that there are two kinds of typical oscillations in sunspot umbral area:3-minute oscillations and 5-minute *** high quality observational sunspot data set obtained with the HINODE/Solar Optical Telescope in the Ca II H line on 20 August 2013 was employed to study the oscillation period of the chromosphere above a *** this paper,we used two kinds of wavelet transform methods to analyze sunspot umbral *** method based on continuous wavelet transform(CWT) was applied to analyze umbral oscillation period and frequency changing over *** other method based on cross wavelet transform(XWT) was used to analyze phase relationship between the two time *** outcomes demonstrate the viability and efficiency of the wavelet transform as a analyzing tool by accurately calculating period and studying phase difference.

关键词： Sunspot Umbral oscillation period Phase relationship Continuous wavelet transform Cross wavelet transform

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