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Articles 2551 - 2580 of 4777

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Modeling And Visualization On Scalar Fields Of Meteorological Data, Shuoben Bi, Yucheng Gong, Mingyue Lu, Zhou Hao, Yuanxiang Mao Jul 2020

Modeling And Visualization On Scalar Fields Of Meteorological Data, Shuoben Bi, Yucheng Gong, Mingyue Lu, Zhou Hao, Yuanxiang Mao

Journal of System Simulation

Abstract: There are still many deficiencies in efficiency, interactivity, and accuracy in the visualization of meteorological scalar fields. Aiming at these problems, a display method based on multi-level volume rendering technology is proposed, which processes the spatial field data to form a three-dimensional space grid. Through the dynamic mapping between the scalar values and the color values and transparency, the three-dimensional dynamic visualization effect of the meteorological scalar data is realized. Aiming at the interpolation method for the traditional MC (Marching Cubes) algorithm being not applicable to the meteorological data, and the connection method having ambiguity problem, the improvement method …

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Preloading Mechanism Of Large-Scale Web3d Scene Based On Dr Prediction, Huijuan Zhang, Xinqi Guo, Dongqing Wang, Jinyuan Jia Jul 2020

Preloading Mechanism Of Large-Scale Web3d Scene Based On Dr Prediction, Huijuan Zhang, Xinqi Guo, Dongqing Wang, Jinyuan Jia

Journal of System Simulation

Abstract: In order to improve the loading efficiency of large-scale Web3D scene, a mechanism based on DR prediction is proposed. It combines the DR track prediction algorithm and historical path-based interest path clustering algorithm to track the field. The medium path prediction and path clustering in the traffic domain are applied to the virtual scene loading field, and a preloading mechanism of the Web3D scene is proposed. Experiment results show that the preloading mechanism can significantly improve the data transmission efficiency, optimize the loading speed of large-scale Web3D scene, and effectively improve the roaming experience of users in Web3D scene. …

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Learning Expression Recognition Based On Image Sequence, Suqin Wang, Zhang Feng, Yudou Gao, Shi Min Jul 2020

Learning Expression Recognition Based On Image Sequence, Suqin Wang, Zhang Feng, Yudou Gao, Shi Min

Journal of System Simulation

Abstract: By recognizing the facial expressions, the emotional state of learner can be judged and their learning effect can be analyzed. Due to the persistence and timing of facial expressions, the sequence of facial images is adopted as the object of facial expression recognition. The Long Short Term Memory Network (LSTM) and VGGNet are combined into a VGGNET-LSTM model. On this basis, facial expression recognition is carried out, which significantly improves the accuracy of recognition. Based on the transfer learning method, VGGNet is transferred to the learning expression data set after being pre-trained through the basic expression data set CK+ …

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An Adaptable Vr Software Framework For Collaborative Multi-Modal Haptic And Immersive Visual Display, Guo Yuan, Qianqian Tong, Yukai Zheng, Ziqi Wang, Yuru Zhang, Dangxiao Wang Jul 2020

An Adaptable Vr Software Framework For Collaborative Multi-Modal Haptic And Immersive Visual Display, Guo Yuan, Qianqian Tong, Yukai Zheng, Ziqi Wang, Yuru Zhang, Dangxiao Wang

Journal of System Simulation

Abstract: The spatiotemporal consistency of multi-modal haptic and immersive visual feedback, as well as the integration of hardware devices in the existing VR software framework, restricts the rapid development of visuo-haptic fusion scenarios in different industries such as medical, business, and entertainment. In order to tackle this problem, an adaptable VR software framework combining multi-modal haptic and immersive visual display is proposed. To meet the different requirements of visual rendering, haptic rendering and hardware control, the double-layer and three-layer architectures are devised according to the different precision requirements of visuo-haptic fusion feedback. Experimental results show that the framework has the …

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A Survey On Graph Representation And Visualization Techniques, Chen Yi, Menglu Zhang, Yuchai Wan Jul 2020

A Survey On Graph Representation And Visualization Techniques, Chen Yi, Menglu Zhang, Yuchai Wan

Journal of System Simulation

Abstract: A graph consists of nodes and edges, and represents the relationship between two or more entities. Graph-based analysis can help understand the structure and nature of the entity relationships and reveal the implicit relationships in graphs. The representation and visualization methods of graphs play an important role in the graph analysis. In graph visualization research, the accuracy of knowledge transfer and people's mental map, etc. should be considered first, then the graphs beauty, the time requirement, and the computer performance. The graph representation methods, graph layout algorithms, visualization methods based on node-link-graphs, adjacency matrices, and graph embedding are reviewed, …

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Modeling Of Monitoring Systems Of Solar Power Stations For Telecommunication Facilities Based On Wireless Nets, Ilkhomjon Xakimovich Siddikov, Khalimjon Ergashevich Khujamatov, Doston Turayevich Khasanov, Ernazar Nurjamiyevich Reypnazarov Jul 2020

Modeling Of Monitoring Systems Of Solar Power Stations For Telecommunication Facilities Based On Wireless Nets, Ilkhomjon Xakimovich Siddikov, Khalimjon Ergashevich Khujamatov, Doston Turayevich Khasanov, Ernazar Nurjamiyevich Reypnazarov

Chemical Technology, Control and Management

In this paper described of modelling processes of the real-time remote monitoring system of solar power sources, modelled and investigated by wireless sensor nets of telecommunications devices. As a modelling environment was obtained Proteus software. In processes of modelling of the system, structure and a block diagram of the system were developed, each of elements is deleted to parts of the system and separately described. Specially created software for the research system. The structure of the system developed and software tested by modelling processes. The results of modelling of monitoring system presented in a virtual terminal, an oscillography, and a …

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Study On Flywheel Automotive-Brake Energy Recovery System, Juhua Huang, Fuzhong Wang, Junping Yang Jul 2020

Study On Flywheel Automotive-Brake Energy Recovery System, Juhua Huang, Fuzhong Wang, Junping Yang

Journal of System Simulation

Abstract: The generator automotive-braking energy recovery system can only be applied to the new energy vehicles. In order to improve the situation, a kind of flywheel automotive-braking energy recovery system (FAERS) was proposed that could be applied to the traditional vehicles. The structure of the FAERS was designed and its working principle was explained in detail. The working principle of the FAERS and the main structural parameters—the maximum torque of the electromagnetic clutch, the transmission ratio of the energy storage flywheel and the rotational inertia of the energy storage flywheel were simulated in the environment of Matlab-Simulink, which …

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Improved Cuckoo Search Algorithm Applied To Multi-Objective Optimization Of Crowd Evacuation, Chongjie Dong, Liu Yi, Peng Yong Jul 2020

Improved Cuckoo Search Algorithm Applied To Multi-Objective Optimization Of Crowd Evacuation, Chongjie Dong, Liu Yi, Peng Yong

Journal of System Simulation

Abstract: The crowd evacuation problem is a multi-objective optimization problem in large public places under the emergency, but because of the conflict between multiple objectives in multi-objective optimization problem, it is difficult to make the multiple targets achieve the optimal at the same time. The most popular solution is an evolution multi objective optimization algorithm for the characteristics of heuristic search of population and the partial order relation. Cuckoo search algorithm is a new search algorithm which was found in the behavior of cuckoo nest spawning lies, the basic cuckoo search algorithm is lack of vitality, and search is slow. …

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Sliding Weighted Least Square Model For Short-Term Wind Power Prediction, Yanfeng Ge, Liang Peng, Liqun Gao, Junchang Zhai Jul 2020

Sliding Weighted Least Square Model For Short-Term Wind Power Prediction, Yanfeng Ge, Liang Peng, Liqun Gao, Junchang Zhai

Journal of System Simulation

Abstract: A new approach for wind power forecasting was proposed based on sliding window weighted recursive least squares for the defect of wind power short-term prediction in the traditional prediction methods. The historical data was weighted and the perturbation caused by the historical data was ruled out in this method, which focused on the current data on the result of prediction. This made the model have the adaptability to the change of the environment data. The harmony search algorithm was used to optimize the orders and the parameters of the predict model, which could improve the precision and accuracy of …

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Modeling Computation Entity Of Cps Based On Dynamic Behavior, Ye Feng, Xia Yang, Zhaoxiang Shen, Yunchao Zhu Jul 2020

Modeling Computation Entity Of Cps Based On Dynamic Behavior, Ye Feng, Xia Yang, Zhaoxiang Shen, Yunchao Zhu

Journal of System Simulation

Abstract: The Cyber-Physical System (CPS) has been highly concerned since it was proposed. However, the key of creating a good CPS system critically depends on the prophase design of the system model. Currently, it has become the focus and difficulty of research at home and abroad that models a CPS system with comprehensive, robustness, security. According to the previous studies, the CPS system was divided into computing entity, physical entity and control entity. A modeling method of computation entity of CPS was provided, which is DBM-UML (Dynamic behavior modeling-UML). With this method, an analysis of the entire system's structure …

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Method For Network Security Reinforcement Based On Gscpn Model, Gao Xiang, Liu Yang, Xiaoyuan He Jul 2020

Method For Network Security Reinforcement Based On Gscpn Model, Gao Xiang, Liu Yang, Xiaoyuan He

Journal of System Simulation

Abstract: In order to improve the security of networks in whole, a method of making strategies for the network security reinforcement based on Generalized Stochastic Colored Petri Net was proposed. The concepts of host node utilization index and host node key degree were introduced, which enabled the vulnerable nodes that needed repairing sorted by the value of host node key degree. On this basis, security level of the target network was increased by the reinforcement according to the principle of maximum node key degree first. The network instance further validates that the proposed method for network security reinforcement is …

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Object Tracking Method Based On Superpixel And Local Sparse Representation, Huixian Yang, Liu Zhao, Liu Yang, Liu Fan, Dilong He Jul 2020

Object Tracking Method Based On Superpixel And Local Sparse Representation, Huixian Yang, Liu Zhao, Liu Yang, Liu Fan, Dilong He

Journal of System Simulation

Abstract: Due to the appearance changing of target object in object tracking, a tracking algorithm was proposed based on superpixel and local sparse representation (SPS). In training process, a discriminative appearance model was constructed by clustering the segmented train images; sparsity-based histogram of target object was calculated to construct generative appearance model. In tracking, superpixel-based confidence map was obtained, and the confidence values of candidates was sampled and calculated; the similarity between sparsity-based histogram of candidates and target template was computed by using local patches. Then motion model and observation model of candidates according to the confidence values and …

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Face Recognition Method Based On Cost-Sensitive Supervised Manifold Learning, Yeqin Cui, Jianguo Gao Jul 2020

Face Recognition Method Based On Cost-Sensitive Supervised Manifold Learning, Yeqin Cui, Jianguo Gao

Journal of System Simulation

Abstract: Existing subspace learning-based face recognition methods assume the same loss from all misclassifications. In the real-world face recognition applications, however, different misclassifications can lead to different losses. Motivated by this concern, a cost-sensitive supervised manifold learning approach for face recognition was proposed. The proposed approach incorporated a cost matrix to specify the different costs associated with misclassifications of subjects, into locality preserving projection algorithm, which devised the corresponding cost-sensitive methods, namely, cost-sensitive locality preserving projections (Cos-Sen LPP), to achieve a minimal overall loss. Three face databases were put into the experiments and experimental results show that Cos-Sen LPP method …

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Research Of Under-Determined Blind Source Separation Anti-Collision Algorithm Based On Rfid Frame-Slot, Xiaohong Zhang, Yungang Jin Jul 2020

Research Of Under-Determined Blind Source Separation Anti-Collision Algorithm Based On Rfid Frame-Slot, Xiaohong Zhang, Yungang Jin

Journal of System Simulation

Abstract: For the algorithm of under-determined blind separation’s result becomes worse as the increasing number of tags, causes the decline of the overall system performance or other issues, a novel parallelizable identification anti-collision algorithm based on NMF and framed-slot was proposed. The number of tags in each slot can be controlled within the optimum range by selecting the reasonable number of slots, remained the best condition of the RFID system. Compared with the Blind Separation and Dynamic Bit-Slot Group (BSDBG) algorithm using the same multi-antenna technology, the simulation results show that the tag identification rate improves from 180% to 389% …

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Chimera Grid Methods Applied In Astronautics Aerodynamic Problems, Yuan Wu Jul 2020

Chimera Grid Methods Applied In Astronautics Aerodynamic Problems, Yuan Wu

Journal of System Simulation

Abstract: Structured chimera grid method has been considered as the most applicable technology to solve aerodynamic problems of multi-component configuration aircraft at current stage. Therefore, by using structured chimera technology and CFD method, two typical aerodynamic problems of conventional tactics missile configuration with rudder deflection were thoroughly investigated: i) a simple and practical linear modification model for micro unsymmetry configuration was proposed which could effectively reduce the range of error and eliminate its skewness properties caused by asymmetric separation vortex, while the traditional method introduced lateral aerodynamic error in data transformation; ii) 3-tunnel linear adding model was investigated and the …

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Co-Design Between Robust H∞ Guaranteed Cost Fault-Tolerant And Communication For Nncs Based On Event-Triggered, Li Wei, Kun Yan, Yajie Li Jul 2020

Co-Design Between Robust H∞ Guaranteed Cost Fault-Tolerant And Communication For Nncs Based On Event-Triggered, Li Wei, Kun Yan, Yajie Li

Journal of System Simulation

Abstract: Based on the discrete event-triggered communication scheme (DETCS), the co-design between robust H∞ guaranteed cost fault-tolerant control and communication was studied for uncertain nonlinear networked control system (NNCS) with actuator failures. Firstly, a new closed-loop failure model was established by introducing the DETCS and adopting state feedback control strategy. Then, based on the Lyapunov stability theory and less-conservative technology, the sufficient condition of NNCS with robust H∞ guaranteed cost was derived, which was the time-delay/event-dependent approach, moreover, some optimal co-design methods between the fault tolerant controller and event-triggered weight matrix were given. Furthermore, the co-design problems of …

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Lie Group Modeling And Optimal Control Of Underwater Vehicle, Bai Long, Zhifeng Dong, Xinsheng Ge Jul 2020

Lie Group Modeling And Optimal Control Of Underwater Vehicle, Bai Long, Zhifeng Dong, Xinsheng Ge

Journal of System Simulation

Abstract: The Lie group modeling method and gauss pseudo-spectral energy optimal control of the underwater vehicle are in research. Simplifying the underwater vehicle to be a free rigid body, in view of the possible large attitude angle maneuvering of the underwater vehicle, importing the concept of lie group and lie algebra, combining with the variation method and Lagrange method, the dynamics equation of the rigid body was derived, translating the tradition expression of the hydrodynamic force to obtain the dynamics equation of the underwater vehicle base on the lie group. With the Gauss pseudo-spectral method, the continue space optimal …

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Analysis Of Lateral Force And Deviation Of Permanent Magnetic Levitation Belt Conveyor, Kun Hu, Wang Shuang, Yongcun Guo, Deyong Li Jul 2020

Analysis Of Lateral Force And Deviation Of Permanent Magnetic Levitation Belt Conveyor, Kun Hu, Wang Shuang, Yongcun Guo, Deyong Li

Journal of System Simulation

Abstract: On the basis of reasonable assumptions, lateral force mathematical model of permanent magnetic levitation belt conveyor maglev support system was simulated. The simulation results showed that conveyor lateral force and offset could have a monotonically increasing relationship. If the belt shifted, it would cause an increase in lateral force, which could cause conveyor belt further deviation. The traditional physical anti-deviation measures couldn’t apply to non-contact suspension support. In order to effectively solve the permanent magnetic levitation belt conveyor deviation problem, an automatic offset device was designed and the corresponding control strategy was proposed. The value of the lateral …

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Research On Influence Factors Of Head And Face’S Heat Accumulation In Anti-Riot Helmet Based On Simulation, Hongwei Zhuang, Dehai Xiang, Fadong Zhao, Weiwei Zhuang Jul 2020

Research On Influence Factors Of Head And Face’S Heat Accumulation In Anti-Riot Helmet Based On Simulation, Hongwei Zhuang, Dehai Xiang, Fadong Zhao, Weiwei Zhuang

Journal of System Simulation

Abstract: Aiming at the serious heat accumulation problem to soldiers’ head and face while wearing anti-riot helmets in high temperatures, a 3D model of human head and an anti-riot helmet were established based on CT image data and GA294-2012 Standard of Anti-riot Helmet. The Pennes bio-heat transfer equation was chosen as the control equation, then a "head-helmet" heat transfer model was built. On the platform of ANSYS-Fluent software, the three-dimensional thermal process of "head-helmet" system were numerically simulated. And on the basis the influence brought from anti-riot helmet shell material, buffer layer material and vent hole to head facial …

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3d Dynamic Simulation Of Dual Wedge Scanning Imaging System, Ma Jie, Yu Wei, Zhiwei Zhou, Wenxiu Yang, Xuegang Wu Jul 2020

3d Dynamic Simulation Of Dual Wedge Scanning Imaging System, Ma Jie, Yu Wei, Zhiwei Zhou, Wenxiu Yang, Xuegang Wu

Journal of System Simulation

Abstract: Dual wedge scanning is a broad prospect method of next generation Laser imaging system. Due to the unique scanning mode and imaging characteristics, data of dual wedge Laser imaging system is sensitive to parameters and environment, and it is significant in both theory and application to research its feature of time and space. Based on the imaging principle of dual wedge scanning, the dynamic imaging process was modeled and a simulation system in three-dimensional environment was designed. Based on the imaging principle of dual wedge scanning, the dynamic imaging process was modeled and a simulation system in three-dimensional environment …

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Traveling Wave Detection Fault Location Method Based On Src And Lcd, Yanfeng Gao, Yongli Zhu, Hongyan Yan, Yuanyuan Zhang Jul 2020

Traveling Wave Detection Fault Location Method Based On Src And Lcd, Yanfeng Gao, Yongli Zhu, Hongyan Yan, Yuanyuan Zhang

Journal of System Simulation

Abstract: The accuracy of fault detection by traveling wave is a key for distance measurement on transmission lines. A new traveling wave detection method was proposed based on SRC (Sampling Rate Conversion) and LCD (Local Characteristic scale Decomposition), which considered quantization error reduction and the signal decomposition. The sampling rate of the current line mode components with fixed sampling rate was converted to realize resampling of reconstructed signal. The local characteristic scale of resampling signal was decomposed and the instantaneous frequency of the first intrinsic scale component was calculated by using Teager energy operator, which identified the moment …

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Dynamic Design For Vibratory Compaction System Basing On Chaos Identification, Peihui Shen, Shuwen Lin Jul 2020

Dynamic Design For Vibratory Compaction System Basing On Chaos Identification, Peihui Shen, Shuwen Lin

Journal of System Simulation

Abstract: According to the shortage of traditional design method and the fact that the effects of nonlinear chaotic vibration on human health were ignored in the research of compaction system, a dynamic design method basing on chaos identification was proposed. A two degree of freedom dynamic model was established and the bifurcation diagrams were described for vibratory compaction system. The dynamic responses of the system were analyzed in the cases of three different soil parameters representing the early, medium and later stage of compacted material. Research shows that, selecting the ratio of the frame quality and the vibration wheel quality …

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Design On Parallel Simulation System For Radar/Ir Dual Mode Compound Guidance, Shiming Zhao, Zhiyue Sun Jul 2020

Design On Parallel Simulation System For Radar/Ir Dual Mode Compound Guidance, Shiming Zhao, Zhiyue Sun

Journal of System Simulation

Abstract: Aiming at simulation test requirement for Radar/IR dual mode compound guidance seeker, the HWIL simulation system for dual mode compound guidance based on parallel simulation was designed in detail, the key technology design was studied mainly, which consists of control mode and control relation, compound guidance information fusion and decision-making design, and parallel simulation Space and Time Consistency. The simulation model of parallel simulation system, missile attitude motion error model and target space error model were built for the Space and Time Consistency analysis. The simulation results show that simulation test and evaluation application requirement is satiable, and …

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Research On Flame Radical Imaging And Extreme Learning Machine To Prediction Of Nox Emissions, Xinli Li, Li Nan, Yujia Sun, Lu Gang, Yan Yong, Liu Shi Jul 2020

Research On Flame Radical Imaging And Extreme Learning Machine To Prediction Of Nox Emissions, Xinli Li, Li Nan, Yujia Sun, Lu Gang, Yan Yong, Liu Shi

Journal of System Simulation

Abstract: Flame radicals are crucial for an in-depth understanding of the combustion mechanisms. The spectral characteristics of flame radicals were studied based on digital imaging and feature extraction techniques. The information obtained was used to establish the extreme learning machine (ELM) model which can be used to predict the NOx emissions based on the experimental data and digital simulation from a biomass-gas-air combustion process. The digital images of four flame radicals, i.e., OH*, CN*, CH* and C2*, were collected using an EMCCD (Electron Multiplying Charge Coupled Device) camera. The image segmentation was performed using the fuzzy C-means (FCM) …

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Method For Modulation Recognition Of Radar Signals In Complex Environment, Jiang Li, Guoqing Zhao, Li Lin Jul 2020

Method For Modulation Recognition Of Radar Signals In Complex Environment, Jiang Li, Guoqing Zhao, Li Lin

Journal of System Simulation

Abstract: As the increasing application of intra-pulse modulations, modulation recognition of radar signals becomes difficult in radar reconnaissance systems. Usually, there are multipath interferences along with the intercepted signal. The conventional methods become slowdown because of the multipath interferences. Aiming at radar signals in multipath channel, a feature extraction method was proposed based on higher order ambiguity function (AF) and singular vector decomposition, adopting the linear support vector machine (SVM) classifier to determine the types of the intercepted radar signals. Theoretical analysis and simulation results show that the proposed method has good ability to suppress the influence of multipath interferences …

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Semi-Naive Bayesian Forecasts Rainfall On Cloud Platform, Shengjun Xue, Peiyun Zhang, Jingyi Chen Jul 2020

Semi-Naive Bayesian Forecasts Rainfall On Cloud Platform, Shengjun Xue, Peiyun Zhang, Jingyi Chen

Journal of System Simulation

Abstract: Rainfall forecast has played an increasingly important role of meteorological services. As cloud platform can improve the efficiency and accuracy of rainfall forecast, it has been applied to forecast rainfall. The recent forecast methods require the independence between all the attributes, but most of the meteorological factors are interdependent, which reduces the accuracy of the prediction. Consequently, a semi-naive Bayesian classification was proposed combined with fuzzy set theory realizing it on cloud platform. At the same time, to improve the accuracy and the efficiency of rainfall forecast, a forecast model was established, which used the historical weather data …

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Joint Optimization Control Of Energy Storage System Management And Demand Response, Xueying Gao, Tang Hao, Gangzhong Miao, Zhaowu Ping Jul 2020

Joint Optimization Control Of Energy Storage System Management And Demand Response, Xueying Gao, Tang Hao, Gangzhong Miao, Zhaowu Ping

Journal of System Simulation

Abstract: The joint optimization problem of energy management and demand response were studied in order to reduce the long-run cost of electricity users equipped with energy storage unit and smart applications, and to increase their benefits meanwhile. The goals were achieved by controlling both the energy storage unit (charging, discharging, or idle) and the load service (access or delay). Based on the random nature of solar photovoltaic, load demand electricity and electricity price, the joint optimization problem was modeled as infinite-horizon Markov decision process model, and Q-learning algorithm was proposed to find the optimal solution. Simulation results show that the …

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Grid Side Power Factor Control Strategy For Matrix Converter, Guo Hai, Quan Yue, Sun Wen, Zhiping Fan Jul 2020

Grid Side Power Factor Control Strategy For Matrix Converter, Guo Hai, Quan Yue, Sun Wen, Zhiping Fan

Journal of System Simulation

Abstract: Since input filter is usually ignored in the modulation strategy for matrix converter, only the input current of converter is controlled in the same phase with grid voltage. Phase advance of grid current will come about as a result of current of capacitor and the power factor of grid side will be reduced. To solve this problem, the mathematical model of matrix converter was analyzed and the relationship between the real power factor and parameters of the system was studied. A grid current closed-loop control strategy was proposed. As the control objective of the strategy, the grid current was …

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Fluid Network Modeling Method Based On Theory Of Signal Flow Graph, Zhang Yue, Han Pu Jul 2020

Fluid Network Modeling Method Based On Theory Of Signal Flow Graph, Zhang Yue, Han Pu

Journal of System Simulation

Abstract: The concept of signal flow graph was introduced into the mechanism modeling process to describe the fluid network. Various structures in the fluid network were classified as node and branch, and establish the algorithm relationship between node pressure and bransh resistance. Aiming at the characteristics of nonlinear and strong coupling of fluid network, the node pressure was expressed by Taylor series near the quiescent operation point using the linear model to describe the nonlinear network. A method was proposed which used the directed graph to improve the computational efficiency of the admittance matrix at the working point. Based on …

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Harmony Gravitational Search Algorithm For Solving The Problem Of Parameter Estimation For Fractional-Order Chaotic Systems, Huang Yu, Jiarong Wang, Weiping Liang Jul 2020

Harmony Gravitational Search Algorithm For Solving The Problem Of Parameter Estimation For Fractional-Order Chaotic Systems, Huang Yu, Jiarong Wang, Weiping Liang

Journal of System Simulation

Abstract: Aiming at parameter estimation for fractional-order chaotic systems, a harmony gravitational search algorithm was proposed. The particles, which were updated by gravitational search algorithm, were recreated and searched through memory selections and probability search in harmony search algorithm. At the same times, in order to solve the problem that the speed changed too fast when the particles closed to the optimal solution, the partial adjustment probability was set to non-linearly decrease with the adsorption capacity increasing. Standard test functions were used to test the algorithm, and the test results show that the algorithm has good stability and global search …

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