Computer Sciences Commons^™

Finite-Time State Estimation For An Inverted Pendulum Under Input-Multiplicative Uncertainty, Sergey V. Drakunov, William Mackunis, Anu Kossery Jayaprakash, Krishna Bhavithavya Kidambi, Mahmut Reyhanoglu

Publications

A sliding mode observer is presented, which is rigorously proven to achieve finite-time state estimation of a dual-parallel underactuated (i.e., single-input multi-output) cart inverted pendulum system in the presence of parametric uncertainty. A salient feature of the proposed sliding mode observer design is that a rigorous analysis is provided, which proves finite-time estimation of the complete system state in the presence of input-multiplicative parametric uncertainty. The performance of the proposed observer design is demonstrated through numerical case studies using both sliding mode control (SMC)- and linear quadratic regulator (LQR)-based closed-loop control systems. The main contribution presented here is the rigorous …

Espade: An Efficient And Semantically Secure Shortest Path Discovery For Outsourced Location-Based Services, Bharath K. Samanthula, Divyadharshini Karthikeyan, Boxiang Dong, K. Anitha Kumari

Department of Computer Science Faculty Scholarship and Creative Works

With the rapid growth of smart devices and technological advancements in tracking geospatial data, the demand for Location-Based Services (LBS) is facing a constant rise in several domains, including military, healthcare and transportation. It is a natural step to migrate LBS to a cloud environment to achieve on-demand scalability and increased resiliency. Nonetheless, outsourcing sensitive location data to a third-party cloud provider raises a host of privacy concerns as the data owners have reduced visibility and control over the outsourced data. In this paper, we consider outsourced LBS where users want to retrieve map directions without disclosing their location information. …

A Partition Based Feature Selection Approach For Mixed Data Clustering, Ashish Dutt

Student Works (2020-2029)

Presently, educational institutions compile and store huge volumes of data, such as student enrolment and attendance records, as well as their examination results. Mining such data yields stimulating information that serves its handlers well. Rapid growth in educational data points to the fact that distilling massive amounts of data requires a more sophisticated set of algorithms. This issue led to the emergence of the field of Educational Data Mining (EDM). Traditional data mining algorithms cannot be directly applied to educational problems, as they may have a specific objective and function. This implies that a pre-processing algorithm has to be enforced …

Enhancing A Cluster-Based Tdma Mac Protocol For Vehicle-To-Vehicle Communications, Abubakar Bello Tambawal

Student Works (2020-2029)

Vehicular Ad hoc Network technology (VANET) is one of the emerging and promising wireless technology, providing support for vehicles to communicate and share resources, (such as safety messages) through vehicle-to-vehicle (V2V) communications. Sequel to that the Time Division Multiple Access (TDMA) MAC protocol using a cluster-based topology has been proposed by the research community. Most of the existing research works focused on the cluster head (CH) election with very few addressing other critical issues, including cluster formation, efficient time slot allocation, and cluster maintenance. These challenges result in an unstable cluster, which could affect the timely delivery of safety applications. …

Adaptive Data Migration In Load-Imbalanced Hpc Applications, Parsa Amini

LSU Doctoral Dissertations

Distributed parallel applications need to maximize and maintain computer resource utilization and be portable across different machines. Balanced execution of some applications requires more effort than others because their data distribution changes over time. Data re-distribution at runtime requires elaborate schemes that are expensive and may benefit particular applications.

This dissertation discusses a solution for HPX applications to monitor application execution with APEX and use AGAS migration to adaptively redistribute data and load balance applications at runtime to improve application performance and scaling behavior. This dissertation provides evidence for the practicality of using the Active Global Address Space as is …

Fall 2020

In The Loop

Studio CDM Documents Remote Initiatives; "Tom of Your Life" Film Release; Animation Jam Goes Virtual; DePaul Experimental Film Showcase 2020; Trackmania Soundtrack; Alumni Games at Pixel Pop; Alumnus Commemorates St. Vincent de Paul; Cybersecurity Champion Alina Kuzmenkova; Walking the Walk: Youth programs at CDM express DePaul’s Vincentian values; Fair Treatment: Three initiatives address racial inequity in health care; They've Got You Covered: A School of Design instructor leads a cottage industry of makers protecting essential workers from the novel coronavirus; Meet Would-Be Hot Topic Influencer Vera Drew; Data Detectives: CDM helps Chicago track the racial proportions of its COVID-19 cases

Research On Optimal Configuration Design Method Of Stewart Platform, Xuwei Fan, Lili Yang, Cheng Yu, Xiaoning Zhou, Yexin Zhang

Journal of System Simulation

Abstract: Based on the structural singularity and configuration singularity of parallel mechanism, a safety mechanism design scheme of the Stewart platform is proposed to improve the workspace efficiency and engineering practicability. Taking the Stewart platform without any particularity as the research object, and considering the singular constraints of the structure, a dexterity index is proposed to achieve the optimization of the structural parameters. Analyzing and constructing the kinematics model of the Stewart platform, analyzing the singularities of the configuration bifurcations of 16 typical extreme poses, a secure workspace verification algorithm is proposed to make the whole workspace free of singularity. …

Research On Adaptive Routing Algorithm For Wireless Weak-Connection Network, Hua Xiang, Hongjuan Yao, Wang Hai, Wang Zhao, Jietao Zhang, Lili Shu

Journal of System Simulation

Abstract: The wireless weak-connected network has the characteristics of long delay, high dynamic topology, and unstable links. With the lack of continuity from the source end to the destination end of network connection, in order to solve the problem of communication difficulty, the intelligence and adaptability of Physarum polycephalum are introduced, and the adaptive wireless weak-connected network routing algorithm is proposed. A wireless weak-connected network model is build and the mathematical relationships of link capacity is deduced. The next-hop selection strategy and optimal routing strategy is designed to achieve the best-effort delivery of data in wireless weak-connected network environmrnt. Simulation …

Visual Feedback Fuzzy Control For A Robot Manipulator Based On Svr Learning, Xianxia Zhang, Jinqiang Zhang, Zhiyuan Li, Shiwei Ma, Banghua Yang

Journal of System Simulation

Abstract: A fuzzy controller based on SVR learning is proposed for uncalibrated robot visual servoing. In this paper, a fuzzy controller is used to directly construct the nonlinear mapping between image features and robot joint motion. The fuzzy basis function of the fuzzy controller is taken as the kernel function of an SVR and the equivalent relationship between the SVR and the fuzzy controller is established. The learned support vector from the SVR is used as the rule of the fuzzy controller. Since all rules are learned from the data, there is no need to manually design the rules. …

Gru-Based Car-Following Behavior Simulation Model, Fei Rong, Liu Fang, Xie Guo, Hei Xinhong, Shasha Li, Hu Bo

Journal of System Simulation

Abstract: The accuracy of acceleration prediction can be effectively improved by the driver's memory in car-following behavior. A new car-following model based on the General Motors (GM) and the gate control unit (GRU) is proposed. The car-following data between small vehicles with similar driving behavior are obtained by data preprocessing. The established model is calibrated by the car-following data, and the optimal parameters and structure of the model are determined. According to car-following characteristics, the effectiveness of model is verified by simulation. It is confirmed that the model has high robustness and improved simulation accuracy comparing with the traditional models.

Estimation Of Space-Time Of Urban Building Population Based On Mobile Phone Big Data, Hu Yang, Xiaoyong Zhang, Xiao Di

Journal of System Simulation

Abstract: With the acceleration of the urbanization process, mastering the population distribution on a fine scale is of great significance for urban disaster assessment, emergency response management and public resource allocation. The rapid development of the Internet and the popularity of smartphones have prompted mobile phones to become the sensors of human activity. A method of urban building population estimation based on mobile phone big data is proposed. The method analyzes the crowd activity law of buildings with different functions based on mobile phone positioning big data in typical areas, calculates the population capacity of different functional buildings, and …

Simulation Research On Optimization Of Agv Charging Strategy For Automated Terminal, Danlan Xie, Guo Di, Ji Yuan, Zhipeng Gao

Journal of System Simulation

Abstract: As the automated container terminal is the development trend of terminal, AGV (automated guided vehicle) becomes the most widely used horizontal transportation tool and it is important to make its reasonable charging strategy. Aiming at the shortcomings of the current AGV, a charging strategy of offline charging being primary and online charging being auxiliary is proposed. In order to solve the problem of location selection of online charging station, a quick method of selecting effective stations by using heat zone map is proposed. Through a large number of simulation experiments using this strategy, the fact that the number …

Global Optimization Method Based On Consensus Particle Swarm Optimization, Zhanwen Lu, Xingong Cheng, Yongfeng Zhang

Journal of System Simulation

Abstract: According to the characteristics of particle swarm optimization (PSO) and efficient global optimization algorithm (EGO), a global black box optimization algorithm based on consensus particle swarm optimization and local surrogate model (CPSO-LSM) is proposed. The algorithm fixes the period of the PSO algorithm to group the particles and stops after the particles reach a consensus. The high-quality sub-regions around each group of particles are used as the modeling area of the surrogate model, and the high-quality optimal solution or global optimal solution is obtained by comparing the optimal values of each region. It can not only avoid the complex …

Natural Computing Method Based On Lle Dimension Reduction, Luyao Zhang, Weidong Ji, Cheng Hao

Journal of System Simulation

Abstract: In the natural computing method, the appearance of high-dimensional problem can make some existing optimization algorithms avoid falling into local optimum, but it makes the performance of the algorithm worse and the running time longer. On the basis of traditional natural calculation method, a natural calculation method based on LLE(Local Linear Embedding) algorithm is proposed, which analyzes the value of neighbor particle k and dimension d, and makes the algorithm get better optimization effect after dimension reduction. In the process, a small bias s is added to the data after dimension reduction to increase the diversity of …

Research On Distribution Line Identification And Simulation Based On Sequence Impedance Method, Keyan Liu, Weijie Dong, Xueshun Ye, Muke Bai, Huaitian Zhang

Journal of System Simulation

Abstract: The field fault test of distribution network cannot be repeated frequently, a line parameter identification and fault waveform reproduction method based on sequence impedance method is proposed to build the line sequence resistance model, and the π type equivalent lines are constructed. Based on the data of each node obtained in the field test process, the positive sequence impedance and zero sequence impedance parameters of π type equivalent circuits of all line sections are obtained by using the principle of symmetrical sequence components, and the digital model of the real lines in the field is established. The simulation results …

Research On Fuzzy Flexible Job Shop Scheduling Problem Based On Hybrid Qpso, Junxuan Li, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: To solve the flexible job shop scheduling problem of uncertain processing time, triangular fuzzy numbers are used to characterize the relevant time parameters and a Hybrid Quantum Particle Swarm Optimization (HQPSO) is proposed. On the basis of making full use of the global search capability of Quantum Particle Swarm Optimization, the search efficiency is increased by designing a boundary repair strategy and a cooperative update strategy. Meanwhile, the cross-operator and path relinking technique are used to in the operation sequence mapped by the excellent particles, which makes up the disadvantages of the insufficient ability of deeply exploration of …

Adaptive Control Method Of High Proportion Distributed Generation Connected To Distribution Network, Weijie Dong, Keyan Liu, Yilong Wang, Xiaozhong Li, Yang Hao

Journal of System Simulation

Abstract: Focus on the instability of the reactive power output precision caused by the voltage drop and loss of DG lines being switched to grid and the low output frequency and voltage caused by power deficiency of DG islanding, an improved droop control strategy is proposed to ensure the running stability of Active Distribution Network during DG connecting to network. The DG model applies the feedback regulation of f-U droop output power and voltage drop compensator. The control system is applied to the quasi-synchronization grid-connected model, island mode and the modes switching process of an active distribution network's domain transient …

Optimization Of Shore Bridge Driver Scheduling Strategy Considering Influence Of Illumination, Tiexin Wang, Haihong Yu, Danlan Xie, Yibin Wang

Journal of System Simulation

Abstract: The luminous environment has an important effect on the efficiency of quay crane drivers' work. Aiming at the quay crane drivers' shift arrangement under the changing illumination intensity, the theoretical model of illumination influencing efficiency and the 3D simulation model of port operation are established. The influence of different lighting conditions on quay crane drivers' work is analyzed to find the optimal scheduling strategy. By comparing four different scheduling strategies, the optimal 6h interval scheduling is obtained, which increases the working efficiency by about 14% compared with the existing scheduling methods. It shows that when the total working …

Cascading Failure Analysis Of Equipment Support Network Based On Sirv Virus Propagation Theory, Zhang Qiang, Junhai Cao, Tailiang Song, Haidong Du, Chuang Zhang

Journal of System Simulation

Abstract: According to the complexity phenomenon of equipment support network being attacked by the enemy, the similarity between network cascading process and virus propagation process is compared and analyzed. On the basis of the existing load capacity cascading failure model, the process of virus immune propagation is integrated, four different states of support nodes are defined, and the cascade transmission model of equipment support network is constructed, which can better reproduce the real situation of our support organization being attacked by the enemy and public opinion. The simulation and comparison shows that when the defense resources are limited and the …

Research On Autonomous Berthing For Unmanned Ship Based On Berth Coordinates, Yupeng Jia, Yin Yong, Zhongxian Zhu

Journal of System Simulation

Abstract: Aiming at the problem that the neural network autonomous docking controllers can only complete the docking of a specific ports, but cannot extend to other ports without training data, a coordinate system (berth coordinates with the berth vertex as theorigin and the shoreline as the Y Axis) is proposed. The relative position is used to train the controller. In V.Dragon-5000 navigation simulator, the container ship “Yinhe” is selected. After docking training at Dalian port, the docking controller is successfully extended to Shenzhen Shekou port and Singapore Changi port without training data. The simulation verifies that the application …

Modeling Research On Assessment System For Army Maintenance Work Capacity, Haidong Du, Junhai Cao, Fusheng Liu

Journal of System Simulation

Abstract: A set of simulation model design scheme is proposed to meet the needs of maintenance simulation evaluation of combined army. After analyzing the principle of simulation evaluation of military maintenance capability, the requirements of the evaluation model is analyzed. The generation of maintenance tasks and the modeling scheme of maintenance support system are given; On the basis of the spare parts scheduling and the use process of support equipment, the maintenance support resource model is designed. The modeling basis for the evaluation of equipment maintenance capability of the combined army is provided, which supports the design and application case …

Nature Computation Of Self-Adaptive Dynamic Control Strategy Of Population Grouping, Wanlu Ni, Weidong Ji, Xiaoqing Sun

Journal of System Simulation

Abstract: Multi-population optimization method can solve the optimization difficulty caused by the increase of data volume, but the existing population grouping is carried out by means of random grouping or artificial setting, which doesn't take particle trajectories into full consideration. In view of the problem a self-adaptive dynamic control strategy of population grouping is proposed, which uses Gaussian fitting function as the reference curve of population grouping and divides sub populations according to the function's monotone interval. For particles with the trend of crossing the upper boundary of sub populations, the contrarian strategy is adopted to maintain the population diversity …

Research On Modeling And Process Parameters Optimization Of Glcn Fermentation Process, Wanli Yu, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: In view of the high price and low detection accuracy of biosensors, which makes it difficult to obtain accurate and real-time biological parameters in the process of GlcN fermentation, the Least Square Support Vector Machine (LSSVM) model is established to predict the cell concentration, product concentration and substrate concentration. In order to improve the accuracy of the prediction model, the improved multiverse optimization algorithm based on Levy flight is utilized to optimize several parameters of the LSSVM model. On the basis of the model aiming at the maximum product concentration at the time of fermentation completion, the fermentation process …

Chemical Cluster Cooperative Patrolling Strategy Based On Game Theory, Feiran Chen, Bin Chen, Zhengqiu Zhu, Xiaogang Qiu, Yiduo Wang, Zhao Yong

Journal of System Simulation

Abstract: Industrial production activities in the chemical cluster pose great threats to the surrounding atmospheric environment and human health. It is necessary for the management team to strictly supervise the chemical production processes and monitor the gas emissions to ensure the air quality. One of the effective means is to patrol chemical plants in the chemical cluster. The cooperative patrolling strategy of multiple patrol vehicles based on game theory is studied. A greedy deployment algorithm to determine the initial deployment of patrol vehicles is proposed. The static partition cooperation method is used to partition the chemical cluster into multiple small …

Research On Network Attack And Defense Situation Based On Game Theory Model And Netlogo Simulation, Xiaohu Liu, Hengwei Zhang, Yuchen Zhang, Ma Zhuang, Wenlei Lü

Journal of System Simulation

Abstract: Aiming at the problem that the existing modeling methods lack of the analysis on the behavior and trend of attack and defense game, the characteristics of network attack and defense game from the perspective of confrontation are analyzed Based on the static game theory of non- cooperative incomplete information, the network attack and defense game model is established, and the revenue quantification, game equilibrium calculation and decision-making of strategic confrontation result are given. The multi-agent simulation model of network attack and defense game is constructed. The simulation experiments under different strategy combinations and different initial numbers of players are …

Chaos Control Of Permanent Magnet Synchronous Motor Based On Finite Time Lasalle Invariant Set, Zhang Yun, Wang Cong, Hongli Zhang, Ma Ping

Journal of System Simulation

Abstract: In order to effectively restrain the chaotic behavior of permanent magnet synchronous motor, an adaptive controller is designed based on finite time theory and LaSalle invariant set theorem. The chaotic dynamics characteristics of the permanent magnet synchronous motor system are analyzed, and the parameter fields of the system in different motion states are determined. It is proved theoretically that the controller can stabilize to the equilibrium point in finite time and can automatically track the equilibrium point of the system. Simulation results show that the control scheme is concise, faster and more stable. The research results are of great …

Simulation On Spatial-Temporal Dynamic Change Of Ocean Environment In Marine Simulators, Qianfeng Jing, Helong Shen, Zhengli Gao, Yin Yong

Journal of System Simulation

Abstract: Marine structures are subject to environmental interference all the time, and the simulation of the ocean environment significantly affects the realism of the marine simulators. The ocean environmental fields are generated by the numerical wave model, and the real ocean databases are developed based on SQLite. The actual wind, current, and wave information are obtained from the databases to keep consistency with the actual sea. The environmental disturbances are modeled and both the spatiotemporal-varying features and the coupling effects are brought into the simulation. The real voyage cases are reproduced by the proposed simulation method. The measured data …

Prediction Of N-Acetylglucosamine Content Based On Rf-Ga-Bp Neural Network, Wenfeng Yang, Wang Yan, Zhichen Ji

Journal of System Simulation

Abstract: In order to solve the problem that the content of N-acetylglucosamine (GlcNAc) in the process of preparing glucocosamine (GlcN) by microbial fermentation is difficult to measure online, an improved prediction algorithm based on stochastic forest algorithm, genetic algorithm and neural network algorithm is proposed. The algorithm utilizes the feature of decreasing average impurity in random forest algorithm to analyze the relevance of the input characteristics. The initial weights and thresholds of the neural networks are optimized by the genetic algorithm. A prediction model based on the RF-GA-BP algorithm is established based on the data from the fermentation process of …

A Photovoltaic Power Forecasting Method Based On Da-Rkelm Algorithm, Mingqi Wei, Tianrui Zhang, Xiuxiu Gao, Shumei Wang

Journal of System Simulation

Abstract: Aiming at the power grid safety problems caused by the fluctuation and randomness of photo-voltaic power generation, a method for predicting photo-voltaic power generation of a regular nuclear limit learning machine based on the optimization of a dragonfly algorithm was proposed. Through correlation analysis, the key factors affecting the photo-voltaic power generation are determined, and the photo-voltaic power prediction model is constructed. Dragonfly algorithm is used to obtain the optimal weight and threshold value of the network, and regularization function and kernel function are introduced based on the standard limit learning machine to avoid the over …

Research On Simulation Optimization Of Intelligent Storage Robot Configuration Under Multiple Constraints, Guo Di, Danlan Xie, Ji Yuan

Journal of System Simulation

Abstract: Aiming at the intelligent warehouse storage robot configuration, a discrete event simulation model based on queuing theory is constructed. Considering the influence of faults and the reliability and service intensity of the system, aiming at minimizing the total cost of distance cost, time cost, idle cost and purchase cost, a based on FlexSim simulation model is proposed. Discrete event simulation optimization method of the platform. By analyzing the system average team length, order average stay time and other indicators, the intuitionistic bottleneck of the system is combined with the actual operation data, and the configuration strategy of minimum system …