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An artificial systems,computational experiments and parallel execution-based surface electromyogram-driven anti-disturbance zeroing neurodynamic strategy for upper limb human-robot interaction control

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CAAI Transactions on Intelligence technology 2024年第2期9卷 511-525页

作者： Yongbai Liu Keping Liu Gang Wang Jiliang Zhang Yao Chou Zhongbo Sun Department of Mechanical engineering Changchun University of TechnologyChangchunChina Department of Control engineering Changchun University of TechnologyChangchunChina School of electrical and information engineering Jilin Engineering Normal UniversityChangchunChina college of information Science and engineering Northeastern UniversityShenyangChina Department of electrical and Computer engineering Brigham Young UniversityProvoUtahUSA

In recent years,intelligent robots are extensively applied in the field of the industry and intelligent rehabilitation,wherein the human-robot interaction(HRI)control strategy is a momentous part that needs to be ***,the efficacy and robustness of the HRI control algorithm in the presence of unknown external disturbances deserve to be *** deal with these urgent issues,in this study,artificial systems,computational experiments and a parallel execution intelligent control framework are constructed for the HRI *** upper limb-robotic exoskeleton system is re-modelled as an artificial *** on surface electromyogram-based subject's active motion intention in the practical system,a non-convex function activated anti-disturbance zeroing neurodynamic(NC-ADZND)controller is devised in the artificial system for parallel interaction and HRI control with the practical ***,the linear activation function-based zeroing neurodynamic(LAF-ZND)controller and proportionalderivative(posterior deltoid(PD))controller are presented and *** results substantiate the global convergence and robustness of the proposed controller in the presence of different external *** addition,the simulation results verify that the NC-ADZND controller is better than the LAF-ZND and the PD controllers in respect of convergence order and anti-disturbance characteristics.

关键词： neural network pattern recognition robotics signal processing

Tunable hexagonal boron nitride topological optical delay line in the visible region

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Chinese Optics Letters 2024年第5期22卷 124-130页

作者：费宏明武敏林瀚杨毅彪肖连团 college of Physics Taiyuan University of TechnologyTaiyuan 030024China college of information engineering Shanxi Vocational University of Engineering Science and TechnologyJinzhong 030619China college of Science RMIT UniversityMelbourneVictoria 3000Australia college of Electronic information and Optical engineering Taiyuan University of TechnologyTaiyuan 030024China

Tunability,ultracompact design,high group index,low loss,and broad bandwidth are desired properties for integrated optical delay lines(ODLs).However,those properties are challenging to achieve simultaneously in the visible *** paper proposes a tunable hexagonal boron nitride topological optical delay line(ODL)in the visible region based on valley photonic *** topological edge state from the beard-type boundary allows the achievement of an ultralow group velocity close to zero,which results in a large group index of 629 at 645 ***,we demonstrate tuning of the slow-light wavelength and optical delay times with electrically tunable liquid crystals by applying external *** device has an ultracompact size of 5μm×2.7μm with an optical delay distance of 25a(a is the lattice constant)and a delay time of 12 *** design can provide a new possibility for designing ODLs working in the visible region for optical communication and quantum computing systems.

关键词： valley photonic crystal topological edge states optical delay lines

CBF-Based Distributed Model Predictive Control for Safe Formation of Autonomous Mobile Robots

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Journal of Shanghai Jiaotong university(Science) 2024年第4期29卷 678-688页

作者： MU Jianbin YANG Haili HE Defeng college of information engineering Zhejiang University of TechnologyHangzhou310023China

A distributed model predictive control(DMPC)method based on robust control barrier function(RCBF)is developed to achieve the safe formation target of multi-autonomous mobile robot systems in an uncertain disturbed *** first step is to analyze the safety requirements of the system during safe formation and categorize them into collision avoidance and distance connectivity *** constraints are designed based on collision avoidance and connectivity maintenance requirements,and security constraints are achieved through a ***,the specified safety constraints are integrated with the objective of forming a multi-autonomous mobile robot *** ensure safe control,the optimization problem is integrated with the DMPC ***,the RCBF-DMPC algorithm is proposed to ensure iterative feasibility and stability while meeting the constraints and expected *** experiments illustrate that the designed algorithm can achieve cooperative formation and ensure system security.

关键词： distributed model predictive control(DMPC) robust control barrier function(RCBF) autonomous mobile robot formation control collision avoidance

ContextAug:model-domain failing test augmentation with contextual information

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Frontiers of Computer Science 2024年第2期18卷 43-60页

作者： Zhuo ZHANG Jianxin XUE Deheng YANG Xiaoguang MAO School of information technology and engineering Guangzhou College of CommerceGuangzhou 511363China School of Computer and information engineering Institute for Artificial IntelligenceShanghai Polytechnic UniversityShanghai 201209China college of Computer National University of Defense TechnologyChangsha 410073China

In the process of software development,the ability to localize faults is crucial for improving the efficiency of *** speaking,detecting and repairing errant behavior at an early stage of the development cycle considerably reduces costs and development *** have tried to utilize various methods to locate the faulty ***,failing test cases usually account for a small portion of the test suite,which inevitably leads to the class-imbalance phenomenon and hampers the effectiveness of fault ***,in this work,we propose a new fault localization approach named *** obtaining dynamic execution through test cases,ContextAug traces these executions to build an information model;subsequently,it constructs a failure context with propagation dependencies to intersect with new model-domain failing test samples synthesized by the minimum variability of the minority feature *** contrast to traditional test generation directly from the input domain,ContextAug seeks a new perspective to synthesize failing test samples from the model domain,which is much easier to augment test *** conducting empirical research on real large-sized programs with 13 state-of-the-art fault localization approaches,ContextAug could significantly improve fault localization effectiveness with up to 54.53%.Thus,ContextAug is verified as able to improve fault localization effectiveness.

关键词： context fault localization test cases

An Optimization Model for Reliability Improvement and Cost Reduction Through EV Smart Charging

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Journal of Modern Power Systems and Clean Energy 2024年第2期12卷 608-620页

作者： Jinping Zhao Ali Arefi Alberto Borghetti Gerard Ledwich School of engineering and Energy Murdoch UniversityPerthAustralia Department of electrical Electronicand Information EngineeringUniversity of BolognaBologna40126Italy School of electrical engineering and Robotics Queensland University of TechnologyBrisbaneQLD 4000Australia

There is a general concern that the increasing penetration of electric vehicles(EVs)will result in higher aging failure probability of equipment and reduced network *** electricity costs may also increase,due to the exacerbation of peak load led by uncontrolled EV *** paper proposes a linear optimization model for the assessment of the benefits of EV smart charging on both network reliability improvement and electricity cost *** objective of the proposed model is the cost minimization,including the loss of load,repair costs due to aging failures,and EV charging *** proposed model incorporates a piecewise linear model representation for the failure probability distributions and utilizes a machine learning approach to represent the EV charging *** two different test systems(a 5-bus network and the IEEE 33-bus network),this paper compares aging failure probabilities,service unavailability,expected energy not supplied,and total costs in various scenarios with and without the implementation of EV smart charging.

关键词： Aging failure electric vehicle(EV) EV charging power system reliability expected energy not supplied distribution network.

Hybrid Optimization Algorithm for Handwritten Document Enhancement

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Computers, Materials & Continua 2024年第3期78卷 3763-3786页

作者： Shu-Chuan Chu Xiaomeng Yang Li Zhang Václav Snášel Jeng-Shyang Pan college of Computer Science and engineering Shandong University of Science and TechnologyQingdao266590China School of information and Control engineering Qingdao University of TechnologyQingdao266520China Faculty of electrical engineering and Computer Science VŠB-TU OstravaOstrava70080Czech Republic Department of information Management Chaoyang University of TechnologyTaichung41349Taiwan

The Gannet Optimization Algorithm (GOA) and the Whale Optimization Algorithm (WOA) demonstrate strong performance;however, there remains room for improvement in convergence and practical applications. This study introduces a hybrid optimization algorithm, named the adaptive inertia weight whale optimization algorithm and gannet optimization algorithm (AIWGOA), which addresses challenges in enhancing handwritten documents. The hybrid strategy integrates the strengths of both algorithms, significantly enhancing their capabilities, whereas the adaptive parameter strategy mitigates the need for manual parameter setting. By amalgamating the hybrid strategy and parameter-adaptive approach, the Gannet Optimization Algorithm was refined to yield the AIWGOA. Through a performance analysis of the CEC2013 benchmark, the AIWGOA demonstrates notable advantages across various metrics. Subsequently, an evaluation index was employed to assess the enhanced handwritten documents and images, affirming the superior practical application of the AIWGOA compared with other algorithms.

关键词： Metaheuristic algorithm gannet optimization algorithm hybrid algorithm handwritten document enhancement

Novel Adaptive Memory Event-Triggered-Based Fuzzy Robust Control for Nonlinear Networked Systems via the Differential Evolution Algorithm

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1836-1848页

作者： Wei Qian Yanmin Wu Bo Shen School of electrical engineering and Automation Henan Polytechnic UniversityJiaozuo 454000China college of information Science and technology Donghua UniversityShanghai 201620China

This article mainly investigates the fuzzy optimization robust control issue for nonlinear networked systems characterized by the interval type-2(IT2)fuzzy technique under a differential evolution *** provide a more reasonable utilization of the constrained communication channel,a novel adaptive memory event-triggered(AMET)mechanism is developed,where two event-triggered thresholds can be dynamically adjusted in the light of the current system information and the transmitted historical *** conditions with less conservative design of the fuzzy imperfect premise matching(IPM)controller are presented by introducing the Wirtinger-based integral inequality,the information of membership functions(MFs)and slack ***,under the IPM policy,a new MFs intelligent optimization technique that takes advantage of the differential evolution algorithm is first provided for IT2 TakagiSugeno(T-S)fuzzy systems to update the fuzzy controller MFs in real-time and achieve a better system control ***,simulation results demonstrate that the proposed control scheme can obtain better system performance in the case of using fewer communication resources.

关键词： Adaptive memory event-triggered(AMET) differential evolution algorithm fuzzy optimization robust control interval type-2(IT2)fuzzy technique.

Parametric Optimization of Wheel Spoke Structure for Drag Reduction of an Ahmed Body

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Computer Modeling in engineering & Sciences 2024年第4期139卷 955-975页

作者： Huihui Zhai Dongqi Jiao Haichao Zhou Institute of electrical and information engineering Zhenjiang CollegeZhenjiang212028China School of Automotive and Traffic engineering Jiangsu UniversityZhenjiang212013China

The wheels have a considerable influence on the aerodynamic properties and can contribute up to 25%of the total drag on modern *** this study,the effect of the wheel spoke structure on the aerodynamic performance of the isolated wheel is ***,the 35°Ahmed body with an optimized spoke structure is used to analyze the flow behavior and the mechanism of drag *** Fluent software is employed for this investigation,with an inlet velocity of 40 m/*** accuracy of the numerical study is validated by comparing it with experimental results obtained from the classical Ahmed *** gain a clearer understanding of the effects of the wheel spoke parameters on the aerodynamics of both the wheel and Ahmedmodel,and five design variables are proposed:the fillet angleα,the inside arc radius R1,the outside radius R2,and the same length of the chord L1 and *** variables characterize the wheel spoke *** Optimal Latin Hypercube designmethod is utilized to conduct the experimental *** on the simulation results of various wheel spoke designs,the Kriging model and the adaptive simulated annealing algorithm is selected to optimize the design *** objective is to achieve the best combination for maximum drag *** is indicated that the optimized spoke structure resulted in amaximum drag reduction of 5.7%and 4.7%for the drag coefficient of the isolated wheel and Ahmed body,*** drag reduction is primarily attributed to changes in the flow state around the wheel,which suppressed separation ***,it influenced the boundary layer thickness around the car body and reduced the turbulent kinetic energy in the wake *** effects collectively contributed to the observed drag reduction.

关键词： Ahmed body wheel spoke design parameter optimization drag reduction numerical simulation

Predictor and ESO-based adaptive tracking control of heterogeneous vehicle platoon

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Science China(Technological Sciences) 2024年第9期67卷 2842-2852页

作者： SUN ZhiZe LIU Yang ZHANG LinChuang college of Control Science and engineering Bohai UniversityJinzhou 121013China college of Automation and Electronic engineering Qingdao University of Science and TechnologyQingdao 266061China college of information Science and technology Bohai UniversityJinzhou 121013China

This paper investigates the distributed adaptive platoon tracking problem of third-order heterogeneous vehicles subject to model uncertainties. The design process is divided into two steps. Firstly, an adaptive tracking controller is designed for the dynamic leading vehicle. And then, the distributed adaptive controllers are established for followers. Moreover, the predictor technique is used to improve the estimate performance of the adaptive law, and the total disturbance is approximated and compensated by the variable gain nonlinear extended state observers(NESOs) driven by the estimation error. By introducing the variable gain hyperbolic tangent tracking differentiator(HTTD), the “complexity explosion” problem is avoided. The feasibility and effectiveness of the proposed protocol are verified by simulation tests.

关键词： variable gain NESOs heterogeneous vehicles platoon tracking predictor