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CLFs-based optimization control for a class of constrained visual servoing systems

ISA TRANSACTIONS 2017年 67卷 507-514页

作者： Song, Xiulan Fu Miaomiao Zhejiang Univ Technol Coll Informat Engn Hangzhou 310023 Zhejiang Peoples R China Zhejiang Prov Key Lab Commun Networks & Applicat Hangzhou 310023 Zhejiang Peoples R China

In this paper, we use the control Lyapunov function (CLF) technique to present an optimized visual servo control method for constrained eye-in-hand robot visual servoing systems. With the knowledge of camera intrinsic parameters and depth of target changes, visual servo control laws (i.e. translation speed) with adjustable parameters are derived by image point features and some known CLF of the visual servoing system. The fibonacci method is employed to online compute the optimal value of those adjustable parameters, which yields an optimized control law to satisfy constraints of the visual servoing system. The Lyapunov's theorem and the properties of CLF are used to establish stability of the constrained visual servoing system in the closed-loop with the optimized control law. One merit of the presented method is that there is no requirement of online calculating the pseudo-inverse of the image Jacobian's matrix and the homography matrix. Simulation and experimental results illustrated the effectiveness of the method proposed here. (C) 2016 ISA. Published by Elsevier Ltd. All rights reserved.

关键词： Visual servo control Constrained control Optimization control Control Lyapunov functions fibonacci method

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Research on Accelerated Address Search method for Intelligent Distribution Network Equipment Identification and Lookup

Research on Accelerated Address Search Method for Intelligen...

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China International Conference on Electricity Distribution (CICED)

作者： Miao, Xin State Grid Econ & Technol Res Inst Co Ltd State Grid Off B41218 Bin He Da Dao Beijing 102209 Peoples R China

ISBN: (纸本)9781538667750

In order to improve the real-time performance of smart distribution network equipment address recognition search, solve the fast address search problem of distribution network intelligent equipment or device or unit, application fibonacci method for two segments division of the address segment, this paper proposes a quick address search method for identification and lookup of the distribution network equipment. Aiming at the problem of search and query in the MAC (Media Access Control) address, IPv4 (Internet Protocol version 4) address or IPv6 (Internet Protocol version 6) address space of the equipment / device / unit in the distribution network, the computer simulation results show that compared with the midpoint method, the address lookup speed of the method is faster. It can improve the real-time performance of the intelligent perception of the distribution network and speed up the network management response speed of the equipment / device / unit failure in the distribution network. The operation and maintenance performance of the distribution network are improved, and the security and intelligence level of the distribution network system are promoted.

关键词： Intelligent distribution network equipment device unit Identification and lookup location address search fibonacci method

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Application of BP Neural Network Model based on Particle Swarm Optimization in Enterprise Network Information Security

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INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS 2016年第3期10卷 173-182页

作者： Liu, Shumei Hengshui Univ Ctr Modern Educ Technol Hengshui 053000 Hebei Peoples R China

The development of network technology has brought convenience to people's life, but also provides the convenience for the virus, Trojan and other destructive programs to attack the network. Then, the computer network security is becoming more and more dangerous. Accurately and scientifically predict the risk of network, it can effectively prevent the risk, and reduce the loss caused by the problem of computer network security. Computer network security is an early warning problem of multi index system. So, the traditional linear forecasting method cannot accurately describe the impact of each index on the evaluation results, and the accuracy of the prediction results is low. In order to improve the prediction accuracy of computer network security, this paper presents a new forecasting method for computer network security. Firstly, the evaluation index of computer network security is selected by expert system, and the weight of evaluation index is determined by the expert scoring method. Secondly, we put the index weight into the BP neural network, and use the BP neural network to learn it. Then, the parameters of BP neural network are optimized by the improved particle swarm optimization algorithm. After that, this paper uses a method based on the fibonacci method principle to find the number of hidden layer node which has the best fitting ability. Finally, we use this algorithm to predict the network security of a certain enterprise in the next six months. The score is 0.67, 0.84, 0.72, 0.87, 0.86 and 0.91, which is close to the actual value of network security.

关键词： particle swarm optimization fibonacci method BP neural network Network information security

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Parasitic capacitance effect on the performance of two-phase switched-capacitor DC-DC converters

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IET POWER ELECTRONICS 2015年第7期8卷 1195-1208页

作者： Wong, Oi-Ying Wong, Hei Tam, Wing-Shan Kok, Chi-Wah City Univ Hong Kong Dept Elect Engn Kowloon Hong Kong Peoples R China Canaan Semicond Ltd Hong Kong Hong Kong Peoples R China

The effects of parasitic capacitances on the performances of three common switched-capacitor DC-DC converters operating in the complete charge transfer case were studied with matrix calculation. The study was conducted by describing the top- and bottom-plate parasitic capacitances of a capacitor network in matrix form;these resulted matrices were then employed in some existing solutions so that not only the steady-state performance, but also the dynamic-state performance of a two-phase switched-capacitor DC-DC converter could be evaluated. The proposed method was validated with SPICE simulation and was used to study the final output voltage, start-up time and start-up energy consumption of an exponential, a fibonacci and a linear converter under different parasitic capacitance effects.

关键词： DC-DC power convertors switched capacitor networks matrix algebra two-phase switched-capacitor DC-DC converters charge transfer matrix calculation bottom-plate parasitic capacitances top-plate parasitic capacitances capacitor network dynamic-state performance SPICE simulation linear converter fibonacci method

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A Neural Network Algorithm for Solving Quadratic Programming Based on fibonacci method

A Neural Network Algorithm for Solving Quadratic Programming...

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7th International Symposium on Neural Networks

作者： Yang, Jingli Du, Tingsong China Three Gorges Univ Inst Nonlinear & Complex Syst Yichang 443002 Hubei Peoples R China

ISBN: (纸本)9783642132773

In this paper. a novel neural network algorithm is proposed, which solve the quadratic programming problem with linear constraints based on fibonacci method. Compared with the existing models for solving the quadratic programming problem with linear constraints, it is more universal, since the objective function of the quadratic programming not only can be convex function but also can be quasi convex function. Finally, example is provided to show the applicability of the proposed neural network algorithm.

关键词： Quadratic programming fibonacci method Neural network Learning algorithm

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Calculating extreme value of unimodal function using bisection method

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Journal of Chemical and Pharmaceutical Research 2013年第12期5卷 648-653页

作者： Shi, Hao-Ran Liu, Xiaoqing Yang, Yao Li, Zhiqin School of Energy and Environment Xihua University Chengdu China

Based on the features of unimodal fun ction, select a practical value of an independent variable within the entire value range of the unimodal function;then, evaluate the function and conduct a reverse calculation of the function value;if there is a unique solution, make a new value range using the solution;carry on this calculation until we obtain the extreme value of the function. Compared with the fibonacci method and the 0.618 method, bisection method is simpler and more effective.

关键词： 0.618 method fibonacci method One-dimensional search Unimodal function bisection method

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A monosegmented flow titration for the spectrophotometric determination of total acidity in vinegar

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ANALYTICAL SCIENCES 1999年第7期15卷 665-668页

作者： Honorato, RS Araújo, MCU Veras, G Zagatto, EAG Lapa, RAS Lima, JLFC Univ Fed Paraiba Dept Quim BR-58051970 Joao Pessoa Paraiba Brazil Univ Sao Paulo Ctr Energia Nucl Agr Piracicaba SP Brazil Univ Porto Fac Farm P-4100 Oporto Portugal

A monosegmented flow system involving sample and titrant sequential injections and the establishment of a tandem plug between two air bubbles is proposed for automated titrations. The end point is found after successive variations of the sample and titrant volumes, determined by an algorithm based on the one-dimensional optimization method of fibonacci. The set up includes a multi-port solenoid valve with four inlets and one outlet. The feasibility of the system was demonstrated in the spectrophotometric determination of the total acidity in vinegar with NaOH and phenolphthalein used as the titrant and indicator, respectively. The sample throughput was ta. 30 h(-1) and consumption of the sample and titrant was about 0.7 ml. The results were in agreement with the expected values, with relative errors lower than +/-0.4%. After 12 successive analyses of typical samples with a 47.1 - 53.4 total acidity, expressed as g l(-1) acetic acid, the relative standard deviations of the results were estimated within the 1.2 - 2.1% range.

关键词： monosegmented flow fibonacci method flow titration vinegar acidity tandem injection

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A flow-batch titrator exploiting a one-dimensional optimisation algorithm for end point search

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ANALYTICA CHIMICA ACTA 1999年第1期396卷 91-97页

作者： Honorato, RS Araújo, MCU Lima, RAC Zagatto, EAG Lapa, RAS Lima, JLFC Univ Fed Pernambuco Dept Quim Fundamental Recife PE Brazil Univ Fed Paraiba Dept Quim BR-58051970 Joao Pessoa Paraiba Brazil Univ Sao Paulo Ctr Energia Nucl Agr Piracicaba SP Brazil Univ Porto Fac Farm P-4100 Oporto Portugal

A flow-batch hybrid system is proposed as a novel approach to automated titration. Sampling and signal processing are done as in usual flow systems, whereas chemical reactions take place in a reaction chamber similar to those found in batch systems. End point is found by means of the fibonacci method, adapted to act as a one-dimensional optimisation algorithm for fast titration. A model system involving the spectrophotometric NaOH/HCl titration was initially studied, and the feasibility of the approach was further demonstrated in the titration of white wines with NaOH using m-cresol purple as indicator. About 20 samples are run per hour and ca. 0.6 ml of sample and titrant are consumed per determination. Within the 5.2-7.3 g l(-1) acidity (expressed as tartaric acid) range, relative standard deviations of results were estimated as about 0.7% after six-fold processing of typical wine samples, and results are in agreement with those obtained by a classical potentiometric titration, with relative errors <0.8%. (C) 1999 Elsevier Science B.V. All rights reserved.

关键词： flow-batch titrator fibonacci method wines flow analysis spectrophotometry

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