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Full-Text Articles in Entire DC Network
Prediction Of Aircraft Cabin Energy Consumption Based On Improved Cooperative Pso Neural Network, Xiuyan Wang, Yanmin Liu, Gewen Zhang, Zongshuai Li, Jiaquan Lin
Prediction Of Aircraft Cabin Energy Consumption Based On Improved Cooperative Pso Neural Network, Xiuyan Wang, Yanmin Liu, Gewen Zhang, Zongshuai Li, Jiaquan Lin
Journal of System Simulation
Abstract: To correctly evaluate the energy needs of the aircraft cabin and to predict the energy consumption of the aircraft cabin with higher accuracy, an energy consumption prediction method based on improved particle swarm optimization (PSO) neural network algorithm parameters is proposed. The method combines the cooperative particle swarm optimization algorithm with chaotic particle swarm optimization algorithm. On the basis of cooperative particle swarm optimization algorithm chaos theory is introduced. Continuous search ability by using chaos optimization method to overcome the collaborative optimization algorithm is easy to fall into the local extremum problem. The parameters of the neural network can …
Design Of Third-Order Zero-Free Mracs Taking State Variables From Model, Qian Chao, Song Fei
Design Of Third-Order Zero-Free Mracs Taking State Variables From Model, Qian Chao, Song Fei
Journal of System Simulation
Abstract: Since the current design method of the relative order n*≥3 MRACS taking state variables from model introduces some linear positive feedback loops, so it is difficult to be used in practical systems. This paper took the third-order zero-free (n*=3) system as the study object and designed the controller for third-order zero-free MRACS taking state variables from model by using the zero state equivalence relation between two different control systems. The design method of the controller is based on the Popov hyperstability theory. The controller only used integrators except for a differentiator and avoided introducing linear …
Ultra-Short-Term Wind Power Forecasting Based On Ceemd And Chaos Theory, Lijie Wang, Zhang Li, Zhang Yan
Ultra-Short-Term Wind Power Forecasting Based On Ceemd And Chaos Theory, Lijie Wang, Zhang Li, Zhang Yan
Journal of System Simulation
Abstract: This paper studies the ultra-short-term prediction of wind power generating capacity by means of CEEMD and chaos theory. Wind power time series is decomposed by CEEMD to decrease the non-stationary of time series. CEEMD can overcome the modal aliasing problem of EMD. The phase space reconstruction method is used to extract characteristics of each sequence, which provides the basis for the selection of input dimension when building a model. The least squares support vector machine models are built for each sequence and the prediction are made separately. The predicted results are added to get the final prediction. Simulation is …
Comparative Study Of Photovoltaic Islanding Detection Based On Sms And Afd, Yunjun Yu, Guoying Zhong, Ruixiang Fan, Qingzhao Ji, Jianyong Zhu
Comparative Study Of Photovoltaic Islanding Detection Based On Sms And Afd, Yunjun Yu, Guoying Zhong, Ruixiang Fan, Qingzhao Ji, Jianyong Zhu
Journal of System Simulation
Abstract: There are many islanding detection methods, especially the active islanding detection method. It is difficult to choose the best method among so many active islanding detection methods in practice. In this paper, the non-detection zone (NDZ), detection speed and their effect to power quality of slide-mode frequency shift (SMS) method and active frequency drift (AFD) were researched. The results show that SMS is superior to AFD at the aspect of the effect on power quality when they have same NDZ. While the detection speed of SMS has big difference under different parameters. The Islanding detection model was built …
Sliding Backstepping Mode Control For Flight Simulator Servo Based On Disturbance Compensation And Differentiator, Huibo Liu, Shanglei Liu
Sliding Backstepping Mode Control For Flight Simulator Servo Based On Disturbance Compensation And Differentiator, Huibo Liu, Shanglei Liu
Journal of System Simulation
Abstract: Considering the uncertain factors in flight simulator servo system, such as friction torque and modeling error, a sliding backstepping mode control strategy based on the nonlinear extended state observer (NESO) and differentiator was put forward. The uncertain factors were defined as compound disturbances, and the NESO was used for observations in combination with real-time compensations that reduced impact on the system brought by disturbances. Differentiator was used to estimate the system state variables, hence preventing the noise amplifications caused by the difference method; law design came under the control of a sliding backstepping mode controller designed in accordance with …
Improved Model Reference Adaptive And Its Application In Grinding Process, Zhou Ying, Chen Yang, Bin Yue
Improved Model Reference Adaptive And Its Application In Grinding Process, Zhou Ying, Chen Yang, Bin Yue
Journal of System Simulation
Abstract: Aiming at the characteristics between a ball mill and a grader during the grinding process such as multi variable, strong-coupling and parameter time variation, after decoupling the mathematical model, a model reference adaptive control (MRAC) method for online automatic gain adjustment by differential evolution algorithm is proposed. Due to return sand and water supply and other factors bringing uncertainty to the controlled object model, it needs to adjust constantly adaptation gain online through the differential evolution so as to overcome the effects of parameter variations in mine operation process and various kinds of interference to system. Simulation results show …
Scenario Computing For Analysis Of Deep Uncertainty Systems, Liu Yi, Gangqiao Wang, Zhipeng Wu, Zhenqiang Fan, Yongqiang Chen
Scenario Computing For Analysis Of Deep Uncertainty Systems, Liu Yi, Gangqiao Wang, Zhipeng Wu, Zhenqiang Fan, Yongqiang Chen
Journal of System Simulation
Abstract: A method of scenario computing is developed for modeling systems with deep uncertainty. The method consists three complementary parts: hybrid modelling, diverse computing, and interactive validation. Hybrid modelling is to dynamically develop models with merging historical knowledges and observed information. Diversity computation is to simulate multiple plausible scenarios about system future. Interactive validation helps scenario computing process being on the right way instead of deviating. Two cases are provided in this paper applying scenario computing, one is earthquake and the other is driving and transportation. The results show good performance of scenario computing method in modeling uncertainty systems.
Multi-Dimension Proportion-Differential Nonlinear Pilot Model And Simulation Application, Weian Jiang
Multi-Dimension Proportion-Differential Nonlinear Pilot Model And Simulation Application, Weian Jiang
Journal of System Simulation
Abstract: For better simulated study of pilot’s accident avoidance ability and pilot induced oscillation (PIO) characteristic of a man-aircraft close loop system, a method of “physiology-psychology-physiology” is presented to divide pilot models into three parts of input(signal), processing(decision making) and output(action), and a new multi-dimension proportion-differential nonlinear pilot model (MPDNLPM) is presented also. Simulated study is performed by simulated control of an aircraft pitch control model under backside tracking status for carrier landing. Conclusion: 1) The control performance of the man-aircraft system is slightly better than an ideal proportional control. 2) PIO is possible for well-trained pilot. 3) Proper anticipation, …
Research On Interaction Model Of Hand Tracking Based On Cognitive Theory, Shaobai Zhang, Zhang Teng
Research On Interaction Model Of Hand Tracking Based On Cognitive Theory, Shaobai Zhang, Zhang Teng
Journal of System Simulation
Abstract: This paper aims to solve the problems in a vector integration to endpoint (VITE) model of human reaching and grasping under perturbations of object size, distance and orientation. We discuss how to reduce the numbers of disturbances of three main kinds of components: hand/wrist transport, grip aperture and hand orientation. Based on the achievements of cognitive psychology, and a tracking and cognitive model for operational 3D gestures, this paper proposes a new divide-and-conquer model that is used for indicating current grasping status and to trigger three main kinds of methods of when to start or stop working. The model …
Lateral Force Measurement And Processing Of Planar Air-Bearing System For Microgravity Simulation, Xinfeng Li, Xiang Dong, Xinghua Tian, Wei Wei
Lateral Force Measurement And Processing Of Planar Air-Bearing System For Microgravity Simulation, Xinfeng Li, Xiang Dong, Xinghua Tian, Wei Wei
Journal of System Simulation
Abstract: An approach of direct force measurement is proposed to estimate the lateral force of a planar air cushion system. Lateral force gauges are arranged around the planar air bearing platform with preloading force exerted before afloat. Lateral force and its torque with respect to the geometric center can be obtained from the gauge variations while the afloat system reaches balance. Friction coefficient in every touch-spot can be evaluated with least square state estimation, which changes to a generic minimum problem with constraints since its solution matrix has a rank deficit. The analysis based on the test of a specified …
Mechanism Of Biofouling Control On Micro-Structured Surface, Chunxi Li, Quanxi Xue, Zhang Shuo, Xuemin Ye
Mechanism Of Biofouling Control On Micro-Structured Surface, Chunxi Li, Quanxi Xue, Zhang Shuo, Xuemin Ye
Journal of System Simulation
Abstract: Changing the wall microstructure geometry can improve the performance of surface antifouling and selfcleaning. A 3D numerical simulation of microfluidic in the near-wall region attached with microorganisms is performed with Fluent, and the kinetic and dynamic characteristics of fluid in the near- wall region are examined. The inherent mechanism of antifouling on microwell surfaces is discussed. Results reveal that streamwise vortices are formed in the microwells, thus the distinctly periodic fluctuations of velocity, strain rate and wall shear stress on microwell surfaces are exhibited, resulting in the interference on microorganisms migration and the harder adhesion of microorganisms to …
Study On Design And Simulation Of Pyramidal Horn Antenna, Denghua Li, Fangfang Ji, Hao Cui, Wenbai Chen
Study On Design And Simulation Of Pyramidal Horn Antenna, Denghua Li, Fangfang Ji, Hao Cui, Wenbai Chen
Journal of System Simulation
Abstract: In order to study the low-profile panel antenna that works in Ku band (12.25’12.75GHz), a high-gain Pyramidal horn antenna is designed as the unit of low-profile panel antenna. To meet dual polarization, it was taken into account that the radiation aperture of antenna unit has symmetric structure. Thus the feed waveguide is designed into a square waveguide. The proposed antenna is designed, simulated and optimized for antenna gain with HFSS (High Frequency Structure Simulator) software. Simulated results show that: in the Ku band, the reflection coefficient is less than -21dB; and the VSWR …
Event Triggered Optimization Method For Dynamic Task Decomposition Mode In Cloud Fusion, Wang Yan, Lijun Cheng
Event Triggered Optimization Method For Dynamic Task Decomposition Mode In Cloud Fusion, Wang Yan, Lijun Cheng
Journal of System Simulation
Abstract: Aiming at the characteristics of randomness, dynamics, diversity and uncertainty of arrival time in the cloud fusion mode, two triggered tasks of the new tasks randomly reaching the cloud platform and the non-executable sub-tasks are considered. To improve the sub-tasks correlation degree and the workload balance of each group, the coupling degree of the sub-tasks is decreased, and an event-triggered mechanism (ETM) based optimization method for dynamic task decomposition mode is proposed. On the basis of the unified tasks description, the optimal flow of dynamic task decomposition is designed to determine the sub-tasks information flow. A multi-objective …
Abnormal Event Driven Rescheduling Decision Making In Discrete Manufacturing Workshop, Weixi Ji, Youyong Cai, Chaoyang Zhang, Peng Wei
Abnormal Event Driven Rescheduling Decision Making In Discrete Manufacturing Workshop, Weixi Ji, Youyong Cai, Chaoyang Zhang, Peng Wei
Journal of System Simulation
Abstract: To solve the problem of rescheduling of workshop production process, combined with the present situation of transparent manufacturing process in discrete workshop, a decision method of rescheduling and an event processing in discrete workshop driven by the abnormal events are proposed. In the IOT driven discrete manufacturing workshop environment, the complex event processing technology is applied to analyze and deal with the real-time information on manufacturing processes. On this basis, by defining the driven mechanism, the decision scheme and the performance evaluation index of rescheduling, the decision method of rescheduling in discrete workshop facing the costing is put forward; …
Overview Of Multi-Agents Modeling And Simulation For Underwater Unmanned Combat Systems, Hongtao Liang, Fengju Kang, Yanfang Fu
Overview Of Multi-Agents Modeling And Simulation For Underwater Unmanned Combat Systems, Hongtao Liang, Fengju Kang, Yanfang Fu
Journal of System Simulation
Abstract: Military UUV is developing toward the direction of intellectualization and coordination of multi-UUV system. It is composed of complex underwater unmanned system (UUS) with changeable underwater environment and complex combat mission. Multi-agents (MAS) modeling technology has become the mainstream method to study this kind of complex system. The development and characteristics of UUS are briefly and comprehensively reviewed. The latest developments of MAS theory are systematically summarized, and MAS modeling and simulation technology for multi-UUV cooperative combat system (MUCCS) are analyzed. A novel MAS theory method, that is immune agent interactive network (IAIN), is proposed, which combines the modeling …
Modeling And Simulation Of Travelers’ Route Choice Behavior Based On Disequilibrium Theory, Zhongxiang Huang, Jianhui Wu, Aiwu Kuang, Zhang Sheng, Xu Yan
Modeling And Simulation Of Travelers’ Route Choice Behavior Based On Disequilibrium Theory, Zhongxiang Huang, Jianhui Wu, Aiwu Kuang, Zhang Sheng, Xu Yan
Journal of System Simulation
Abstract: Considering the influence of heterogeneous travel on traffic flow distribution, the travelers’ route choice behaviors are classified into three types: price regulation, quantity regulation and price-quantity regulation. Three day-to-day dynamical stochastic assignment models based on the disequilibrium theory are established, and the existence, uniqueness, and stability of the solutions to these models are proved. Through model simulation, it proved that each path flow in these three models can converge to a steady state after a finite travel adjustment, and the day-to-day dynamical stochastic assignment model under price-quantity regulation can simulate the influence of heterogeneous travel behaviors on the distribution …
Neural Coding Model For Fast And Significant Perceptual In The Pigeon Optic Tectum, Songwei Wang, Shuman Huang, Shi Li, Mengke Wang
Neural Coding Model For Fast And Significant Perceptual In The Pigeon Optic Tectum, Songwei Wang, Shuman Huang, Shi Li, Mengke Wang
Journal of System Simulation
Abstract: In the classical target recognition theory, many neurons in the mammalian retina and LGN perform DoG operations. Their functions are generally considered to be whitening, eliminating redundancy, and enhancing edges. Where is the redundant information? In this paper, the electrophysiological study of the ON-OFF neurons of the dove optic roof was performed. It was found that the FSL was used to carry out the rough and fast transfer of the whole scene information, and then the salient features in the scene were successively transmitted using the issue rate. For this reason, by analyzing the response pattern of neurons, this …
Traffic Flow Prediction Based On Deep Learning, Mingyu Liu, Jianping Wu, Yubo Wang, He Lei
Traffic Flow Prediction Based On Deep Learning, Mingyu Liu, Jianping Wu, Yubo Wang, He Lei
Journal of System Simulation
Abstract: Traffic flow prediction is an important component of urban intelligent transportation system. With the development of machine learning and artificial intelligence, deep learning has been applied in traffic engineering area. Gated recurrent unit (GRU) neural network is selected to predict urban traffic flow. Cross-validation method is used to explore the optimal number of gated recurrent units. The GRU model is compared with other three predictors such as support vector regression and evaluated in different performance measurements. The results show that GRU model has better performance in traffic flow prediction than the other three models.
Modelling Of Evs Energy Consumption From Perspective Of Field Test Data And Driving Style Questionnaires, Kezhen Hu, Jianping Wu, Mingyu Liu
Modelling Of Evs Energy Consumption From Perspective Of Field Test Data And Driving Style Questionnaires, Kezhen Hu, Jianping Wu, Mingyu Liu
Journal of System Simulation
Abstract: With the electric vehicles (EVs) gaining popularity in megacities, the energy consumption of EVs has subsequently caught researchers’ attention. The exploration of energy consumption of EVs has largely focused on people’s revealed driving behavior and rarely touched on their self-perception of driving styles. Aiming to investigate how the energy efficiency of EVs is shaped by the driving behavior and driving style in the urban scenario from field test data and driving style questionnaires (DSQs), a human-centric approach is adopted. The results of a correlation analysis demonstrate the dynamic interaction between drivers’ revealed behavior and stated driving style under different …
Research On Evaluation Framework Of Coa Based On Wargaming, Haiyang Liu, Yubo Tang, Xiaofeng Hu, Guangpeng Qiao
Research On Evaluation Framework Of Coa Based On Wargaming, Haiyang Liu, Yubo Tang, Xiaofeng Hu, Guangpeng Qiao
Journal of System Simulation
Abstract: Aiming at the evaluation problem of COA (course of action) level indicators in joint operation, an evaluation framework of COA based on wargaming was proposed. By multidimensional analysis of wargaming data, an evaluation feature space was constructed from basic features generated by data cube models and SoS (system of systems) features based on complex network. Wargaming experiments were used to generate small batch metrics results of COA level indicators, and the corresponding result labels of evaluation feature space data were generated by data fitting method. Two-phase correlation analysis was used for dimensionality reduction of high dimensional evaluation features. …
Improved Hybrid Devs-Based Equipment Modeling Method, Jianchun Zhang, Yanyang Zeng, Wenpeng Xu, Fengju Kang
Improved Hybrid Devs-Based Equipment Modeling Method, Jianchun Zhang, Yanyang Zeng, Wenpeng Xu, Fengju Kang
Journal of System Simulation
Abstract: Aiming at the shortcoming of model reuse and extensibility in the existing underwater warfare simulations, a hybrid modeling method based on improved hybrid DEVS (IHDEVS) is proposed. By analyzing the characteristics of combat in the underwater warfare, the event driven engagement process is constructed. From the two dimensions of entity function and behavior abstraction, a model classification strategy based on separation of concerns is designed, and a universal entity model framework is built based on the IHDEVS modeling theory, including layers of the interaction architecture, the coupling model and the atomic model. A typical example shows that this …
Target Decision In Collaborative Air Combats Using Multi-Agent Particle Swarm Optimization, Yuewen Fu, Yuancheng Wang, Chen Zhen, Wenlan Fan
Target Decision In Collaborative Air Combats Using Multi-Agent Particle Swarm Optimization, Yuewen Fu, Yuancheng Wang, Chen Zhen, Wenlan Fan
Journal of System Simulation
Abstract: Under the research background of collaborative multi-aircraft and multi-target air combats, combined with the actual combat constraint conditions and the threat assessment functions on both sides, a collaborative air combat target decision simulation model is established for complex and changeable battlefield situations, which can reflect the priority of fire attack. To solve the decision scheme quickly and accurately, an improved multi-agent particle swarm optimization algorithm is proposed by introducing the interaction mechanism of the multi-agent theory into particle swarm optimization algorithm; and the neighborhood cooperation operator, mutation operator and self-learning operator for the agent are designed respectively. …
Intelligent Technology Of Command And Control System In The Rts Perspective, Wenfeng Wu, Zhang Yu, Rong Ming
Intelligent Technology Of Command And Control System In The Rts Perspective, Wenfeng Wu, Zhang Yu, Rong Ming
Journal of System Simulation
Abstract: Real-Time Strategy (RTS) games have important reference value for studying the intelligent technology of command and control systems. The similarities between RTS games and the strategic battle level command and control systems are described according to the decision process. The challenges brought by the problems of planning, learning, uncertainty and space-time reasoning in the intelligent technology of RTS games are analyzed. The key technologies and latest research progress of action sequence planning, plan recognition, state assessment, multi-agent collaboration and multi-scale AI are studied. The trend of intelligent technology development of strategic and operational level command and control systems is …
Modeling And Research Of Global Allocation Policy In Cascading Failures, Chongjie Dong
Modeling And Research Of Global Allocation Policy In Cascading Failures, Chongjie Dong
Journal of System Simulation
Abstract: In reality, the global loads of network usually alter when the structure and function of network change by a list of attacks. Based on this, the paper defines extra loads of the normal node inversely proportional to the distance of failure node and presents a new indicator named "diffusion step" to failure diffusion process, which uses the global allocation policy instead of neighbor or local feature of node. By simulating scale-free network, small-world network and random network, the average results of network show that the scale-free network has strong ability to resist failures. When the influence of global allocation …
Human Motion Simulation Based On Speech Recognition Control, Zhiwen Wang, Zihao Zhang, Yuxiang Jia, Wei Yi, Yanfei Shen
Human Motion Simulation Based On Speech Recognition Control, Zhiwen Wang, Zihao Zhang, Yuxiang Jia, Wei Yi, Yanfei Shen
Journal of System Simulation
Abstract: Human body motion simulation refers to real time rendering of human body and its motion in a computer. It is a computational model to simulate the natural and physical movement of human body under given constraints. Rendering a good human body movement can improve people's sense of immersion and substitution when watching. It is an inevitable premise of interaction between the viewer and the system. Based on the above theory, under the premise of using the rendering engine to ensure the quality of human motion rendering, it is further proposed to use the speech recognition engine to identify the …
High Performance Fault-Tolerant Scheduling Method And Simulation For Heterogeneous Multicore, Shigan Yu, Zhimin Tang, Xiaochun Ye, Zhimin Zhang
High Performance Fault-Tolerant Scheduling Method And Simulation For Heterogeneous Multicore, Shigan Yu, Zhimin Tang, Xiaochun Ye, Zhimin Zhang
Journal of System Simulation
Abstract: To deal with the problem of low performance and high power consumption when solving the transient fault of the processor with three mode redundancy (TMR), a task execution algorithm for heterogeneous multicore considering fault tolerant (TEAHFT) is proposed. The tasks to be executed are divided into sensitive tasks and fault-tolerant tasks. The sensitive tasks are executed in a TMR mode, and the fault-tolerant tasks are executed in a competitive scheduling mode. The task will be rerun in TMR method if the results of the fault-tolerant tasks do not meet the reliability threshold. The simulation experimental results show that TEAHFT …
Simulation Of Earthquake Disaster Affecting Field Direction Based On Mobile Phone Positioning Data, Xiaoyong Zhang, Xiao Di, Su Zhong, Jianghao Wang
Simulation Of Earthquake Disaster Affecting Field Direction Based On Mobile Phone Positioning Data, Xiaoyong Zhang, Xiao Di, Su Zhong, Jianghao Wang
Journal of System Simulation
Abstract: The direction of the earthquake disaster affected field determines the spatial distribution of the earthquake disaster scope, and further influences the post-disaster emergency command and decision. The 7.0 magnitude earthquake occurred at 2017-08-08T21:19:00 is taken as an example; the location data of the internet mobile phone before and after the earthquake area are used. The spatial distribution characteristics of the disappearing mobile phone location data and the orientation direction of the distributed discrete point sets are obtained by using the standard deviation ellipse model in the spatial econometric analysis. The direction of the earthquake disaster affected field is …
Forward Algorithm Of Lwd Azimuthal Gamma, Qifeng Sun, Youxiang Duan, Yanan Yan, Hongqiang Li
Forward Algorithm Of Lwd Azimuthal Gamma, Qifeng Sun, Youxiang Duan, Yanan Yan, Hongqiang Li
Journal of System Simulation
Abstract: The study of the LWD (Logging While Drilling) azimuthal gamma imaging mode under different geological structures can provide bases for fast and accurate identification of drilled formation. The detection model of LWD azimuthal gamma is set up, and physical models of several positions of the formation and gamma detector is established, combining the descartes coordinate with the spherical coordinate, an azimuthal gamma log response algorithm under different position models is derived. Comparing the simulated results with the measured results of the azimuthal gamma ray logging tool, it is proved that the algorithm can effectively simulate the response characteristics of …
Visual Object Tracking Algorithm Based On Deep Denoising Autoencoder Over Rgb-D Data, Mingxin Jiang, Zhigeng Pan, Lanfang Wang, Taoxin Hu
Visual Object Tracking Algorithm Based On Deep Denoising Autoencoder Over Rgb-D Data, Mingxin Jiang, Zhigeng Pan, Lanfang Wang, Taoxin Hu
Journal of System Simulation
Abstract: A visual object tracking algorithm based on cross-modality features deep learning over RGB-D data is proposed. A sparse denoising autoencoder deep learning network is constructed, which can extract cross-modal features of the samples in RGB-D video data. The cross-modal features of the samples are input to the logistic regression classifier, the observation likelihood model is established according to the confidence score of the classifier, and the reasonable state transition model is established. The object tracking results over RGB-D data are obtained using particle filtering algorithm. Experimental results show that the proposed method has strong robustness to abnormal changes. …
Permanent Magnet Synchronous Motor Multi-Parameter Identification Based On Improved Salp Swarm Algorithm, Mengqiu Wang, Wang Yan, Zhicheng Ji
Permanent Magnet Synchronous Motor Multi-Parameter Identification Based On Improved Salp Swarm Algorithm, Mengqiu Wang, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: Since the multi-parameter identification of permanent magnet synchronous motor (PMSM) has slow speed and low accuracy, a parameter identification method based on the improved salp swarm algorithm was proposed in this paper. The algorithm firstly adopted the self-adaptive evaluation-move strategy and neighborhood optimum guide strategy based Von Neumann topology to update the position of followers twice, which strengthened information cooperation in the population and accelerated the convergence rate of parameter identification. Secondly, the algorithm used the opposition-based learning strategy to perturb the population position with a certain mutation probability, that avoided local optimum and misconvergence of the parameters. The …