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State Estimation of Discrete-Time Markov Jump Linear Systems in the Environment of Arbitrarily Correlated Noises

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A Feature Selection Method Based on Hybrid Dung Beetle Optimization Algorithm and Slap Swarm Algorithm

第三十届中国控制会议

作者： liu wei school of electrical engineering and automation,henan polytechnic {2.,jiaozuo 454000,p.r.china

＜正＞In this paper,the state estimation problem of discrete-time Markov jump linear systems is considered where the noises influencing the systems are arbitrarily *** this,two algorithms of state estimate for the considered systems based on the estimation criterion of linear minimum mean-square error estimate are *** first algorithm is an optimal algorithm which can exactly calculate the linear minimum mean-square error estimate of system *** second algorithm is a suboptimal algorithm which is proposed to reduce the computation and storage load of the proposed optimal algorithm. Computer simulations are carried out to evaluate the performance of the proposed suboptimal algorithm.

关键词： State Estimation Discrete-Time Markov Jump Arbitrarily Correlated Noises

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Computers, Materials & Continua 2024年第8期80卷 2979-3000页

作者： wei liu Tengteng ren school of Information Science and engineering Shenyang Ligong UniversityShenyang110158China

Feature Selection(FS)is a key pre-processing step in pattern recognition and data mining tasks,which can effectively avoid the impact of irrelevant and redundant features on the performance of classification *** recent years,meta-heuristic algorithms have been widely used in FS problems,so a Hybrid Binary Chaotic Salp Swarm Dung Beetle Optimization(HBCSSDBO)algorithm is proposed in this paper to improve the effect of *** this hybrid algorithm,the original continuous optimization algorithm is converted into binary form by the S-type transfer function and applied to the FS *** combining the K nearest neighbor(KNN)classifier,the comparative experiments for FS are carried out between the proposed method and four advanced meta-heuristic algorithms on 16 UCI(university of California,Irvine)*** evaluation metrics such as average adaptation,average prediction accuracy,and average running time are chosen to judge and compare the *** selected dataset is also discussed by categorizing it into three dimensions:high,medium,and low *** results show that the HBCSSDBO feature selection method has the ability to obtain a good subset of features while maintaining high classification accuracy,shows better optimization *** addition,the results of statistical tests confirm the significant validity of the method.

关键词： Feature selection dung beetle optimization KNN transfer function HBCSSDBO

A novel evolving model for power grids

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Science china(Technological Sciences) 2010年第10期53卷 2862-2866页

作者： liu Xuan, liu TianQi & LI XingYuan {2. of electrical engineering and automation, Sichuan university, Chengdu 610065, china school of electrical {2. and automation Sichuan University Chengdu China

In this paper,a novel power grid evolving model,which can well describe the evolving property of power grids,is presented. Based on the BA model,motivated by the fact that in real power grids,connectivity of node not only depends on its degree,but also is influenced by many uncertain factors,so we introduce the subconnection factor K for each node. Using the mean-field theory,we get the analytical expression of power-law degree distribution with the exponent γ∈ (3,∞ ). Finally,simulation results show that the new model can provide a satisfactory description for empirical characteristics of power network,and power network falls somewhere in between scale-free network and uncertain network.

关键词： power grid evolving model scale-free

State Estimation of Discrete-Time Markov Jump Linear Systems in the Environment of Arbitrarily Correlated Gaussian Noises

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State Estimation of Discrete-Time Markov Jump Linear Systems...

research on concrete structure defect repair based on three-dimensional printing

2.11 Chinese Control and Decision Conference（CCDC）

作者： wei liu is with {2. of electrical engineering and automation,henan polytechnic university,jiaozuo 454000,china

This paper is concerned with the state estimation problem of discrete-time Markov jump linear systems where the noises infiuencing the systems are assumed to be arbitrarily correlated Gaussian *** a result,two algorithms are *** first algorithm is an optimal algorithm of state estimate in the sense of minimum mean-square error estimate,which can exactly compute the minimum mean-square error estimate of systems state given an observation *** second algorithm is a suboptimal algorithm which is proposed to reduce the computation and storage load of the proposed optimal algorithm.A numerical example is given to evaluate the performance of the proposed suboptimal algorithm.

关键词： State estimation Discrete-time Markov jump Arbitrarily correlated Gaussian noises

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Frontiers of Structural and Civil engineering 2024年第5期18卷 731-742页

作者： Yang GU wei LI Xupeng YAO Guangjun liu school of Mechanical engineering Tongji UniversityShanghai 201804China College of Civil engineering Tongji UniversityShanghai 200092China Shanghai engineering research Center for Safety Intelligent Control of Building Machinery Shanghai 200032China

Quality assurance and maintenance play a crucial role in engineering construction,as they have a significant impact on project *** common issue in concrete structures is the presence of *** enhance the automation level of concrete defect repairs,this study proposes a computer vision-based robotic system,which is based on three-dimensional(3D)printing technology to repair *** system integrates multiple sensors such as light detection and ranging(LiDAr)and *** is utilized to model concrete pipelines and obtain geometric parameters regarding their ***,a convolutional neural network(CNN)is employed with a depth camera to locate defects in concrete ***,a method for coordinate transformation is presented to convert the obtained coordinates into executable ones for a robotic ***,the feasibility of this concrete defect repair method is validated through simulation and experiments.

关键词： concrete defect detection 3D printing deep learning point cloud data

Exploring the Effect of plasticity on the phase Imaging of TM-AFM Through Molecular Dynamics Simulations

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Acta Mechanica Solida Sinica 2024年第2期37卷 297-304页

作者： Guolin liu Yu Zeng Yaxin Chen Zheng wei school of Mechanical and electrical {2. Beijing University of Chemical TechnologyBeijing100029China

In the tapping-mode atomic force microscope(TM-AFM),the probe tip continuously taps the sample surface,which may cause plastic deformation of the sample and result in energy *** energy dissipation of the probe is closely related to the scanned phase *** quantify the energy dissipation due to plastic indentations of the sample,this study utilized a combination of molecular dynamics(MD)simulations and experiments on single-crystal copper samples,including multiple nano-indentation *** energy dissipation of the probe due to the plastic deformation of the sample was calculated by integrating the hysteresis curve of the indentation depth versus the force applied to the *** simulation results are in good agreement with the experimental *** sets of results have demonstrated that the plastic energy dissipation decreases as the number of indentations increases,and eventually the energy of the probe tends to *** equilibrium energy dissipation is associated with other dissipation ***,it was observed that,after hundreds of taps,the dissipated energy of plastic deformation could be ignored,implying that the scanned image may not reflect the plasticity information of the sample after multiple taps of the probe on the sample surface for scanning.

关键词： Atomic force microscopy Force-distance curves Nano-indentations plasticity Molecular dynamics

Transient Stability Analysis and Design of VSGs with Different DC-Link Voltage Controllers

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CSEE Journal of power and Energy Systems 2024年第2期10卷 593-604页

作者： Chao Shen wei Gu Wanxing Sheng Keyan liu school of electrical {2. Southeast UniversityNanjingChina power Distribution research Department China Electric Power Research InstituteBeijing 100192China

Virtual synchronous control has been widely studied for the advantages of emulating inertia for voltage source converters (VSCs). A constant dc-link voltage is usually assumed in existing literature to estimate transient stability of virtual synchronous generators (VSGs). However, actual power supply in the dc-side of VSGs is limited and different dc-link voltage controllers are needed to achieve power balance between DC side and AC side. Addition of dc-link voltage controller has great influence on transient behavior of VSGs, which has not been investigated by previous research. To fill this gap, this paper gives insights into the effect of dc-link voltage dynamics on transient stability of VSGs. First, two typical kinds of VSGs with dc-link voltage controllers are introduced. Then, mathematical models considering dc-link dynamics are established and the effect of dc-link voltage controllers on transient synchronization stability of VSGs is revealed through equal area criterion (EAC). It is found that dc-link voltage controller would reduce stability margin of VSGs and design-oriented transient stability analysis is carried out quantitively using critical clearing time (CCT). Finally, simulation results are given to validate correctness of theoretical analysis.

关键词： DC-link voltage dynamics equal area criterion(eac) transient synchronization stability virtual synchronous generator(VSG)

Impacts of multi-foulings on salinity gradient energy conversion process in negatively charged conical nanochannels

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Science china(Technological Sciences) 2024年第6期67卷 1714-1726页

作者： MAO ruiJie CHEN Xi ZHOU ruHong LONG rui liu ZhiChun liu {2. school of Energy and power engineering Huazhong University of Science and TechnologyWuhan430074China china-EU Institute for Clean and renewable Energy Huazhong University of Science and TechnologyWuhan430074China school of Mechanical Science and engineering Huazhong University of Science and TechnologyWuhan430074China

Membrane fouling inevitably occurs during nanofluidic reverse ***,the impact of multi-fouling on the energy conversion performance of negatively charged conical nanochannels under asymmetrical configurations is systematically *** results reveal that in Configuration I,where a high-concentration solution is applied at the tip side,at small concentration ratios,multiple foulings reduce the electric *** Configuration II,where a low-concentration solution is applied at the tip side,multiple foulings near the base side contribute to the electric *** fouling that formed near the lowconcentration entrance diminished the electric power and energy conversion ***-fouling lowered the electrical power consumption by 69.2.%and 99.94%in Configurations I and II,*** Configuration I,the electric power first increased with increasing fouling surface charge density,reached its maximum value,and thereafter *** Configuration II,the electric power first decreased with increasing fouling surface charge density,reached its minimum value,and thereafter *** negative or positive charge densities of fouling contribute to the electric power and energy conversion efficiency.

关键词： conical nanochannel fouling nanofluidic reverse electrodialysis salinity gradient energy

Adaptive rBF neural network control of robot with actuator nonlinearities

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控制理论与应用（英文版） 2010年第2期8卷 249-256页

作者： Jinkun liu, Yu LU (school of {2. Science and electrical engineering, Beijing university of Aeronautics and Astronautics, Beijing 100191, china) school of automation Science and {2. engineering Beijing University of Aeronautics and Astronautics Beijing China

In this paper, an adaptive neural network control scheme for robot manipulators with actuator nonlinearities is presented. The control scheme consists of an adaptive neural network controller and an actuator nonlinearities compensator. Since the actuator nonlinearities are usually included in the robot driving motor, a compensator using radial basis function (rBF) network is proposed to estimate the actuator nonlinearities and eliminate their effects. Subsequently, an adaptive neural network controller that neither requires the evaluation of inverse dynamical model nor the time-consuming training process is given. In addition, GL matrix and its product operator are introduced to help prove the stability of the closed control system. Considering the adaptive neural network controller and the rBF network compensator as the whole control scheme, the closed-loop system is proved to be uniformly ultimately bounded (UUB). The whole scheme provides a general procedure to control the robot manipulators with actuator nonlinearities. Simulation results verify the effectiveness of the designed scheme and the theoretical discussion.

关键词： Adaptive control rBF neural network Actuator nonlinearity robot manipulator Deadzone