Mechatron. Syst. Control.最新文献

Automated Multi-domain Engineering Design through Linear Graph and Genetic Programming 基于线性图和遗传规划的自动化多领域工程设计

Mechatron. Syst. Control. Pub Date : 2021-09-25 DOI: 10.2316/j.2022.201-0295

Eric McCormick, H. Lang, Clarence W. de Silva

{"title":"Automated Multi-domain Engineering Design through Linear Graph and Genetic Programming","authors":"Eric McCormick, H. Lang, Clarence W. de Silva","doi":"10.2316/j.2022.201-0295","DOIUrl":"https://doi.org/10.2316/j.2022.201-0295","url":null,"abstract":"AUMATED MULTI-DOMAIN ENGINEERING DESIGN THOUGH LINEAR GRAPS AND GENETIC PROGRAMMING Eric McCormick*, Haoxiang Lang* and Clarence W. de Silva** *GRASP Laboratory, Department of Automotive and Mechatronics, Ontario Tech University, Oshawa, ON, Canada. Emails: eric.mccormick@ontariotechu.net, haoxiang.lang@ontariotechu.ca **Industrial Automation Laboratory, Department of Mechanical Engineering, The University of British Columbia, Vancouver, BC, Canada. Email: desilva@mech.ubc.ca Abstract This paper proposes a methodology of integrating the Linear Graph (LG) approach with Genetic Programming (GP) for generating an automated multi-domain engineering design approach by using the in-house developed LG MATLAB toolbox and the GP toolbox in MATLAB. The necessary background for the development are presented, and the methodology used in this work to facilitate the construction and evaluation of filter circuits, using LG models, is described. Designing electronic filter circuits through an evolution from electronic components to the completed circuits is demonstrated. The topology and component values of three types of filter circuits: low pass, high pass, and band pass, are designed through this evolutionary approach, for various cut-off frequencies. Furthermore, the paper demonstrates through examples of these evolved filter circuits, the combined GP and LG approach is successful in constructing high order filter circuits that are capable of attenuating undesired frequencies while maintaining desirable ones. The work presented in the paper is a key step towards the integration of LG modeling, through the use of the LGtheory MATLAB Toolbox, with machine learning techniques for the automated design of dynamic multi-domain mechatronic systems.","PeriodicalId":412281,"journal":{"name":"Mechatron. Syst. Control.","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115095687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Quantum Teleportation for Control of Dynamic Systems and Autonomy 动态系统控制与自治的量子隐形传态

Mechatron. Syst. Control. Pub Date : 2020-07-30 DOI: 10.2316/J.2021.201-0164

Farbod Khoshnoud, L. Lamata, C. D. Silva, M. Quadrelli

{"title":"Quantum Teleportation for Control of Dynamic Systems and Autonomy","authors":"Farbod Khoshnoud, L. Lamata, C. D. Silva, M. Quadrelli","doi":"10.2316/J.2021.201-0164","DOIUrl":"https://doi.org/10.2316/J.2021.201-0164","url":null,"abstract":"The application of Quantum Teleportation for control of classical dynamic systems and autonomy is proposed in this paper. Quantum teleportation is an intrinsically quantum phenomenon, and was first introduced by teleporting an unknown quantum state via dual classical and Einstein-Podolsky-Rosen channels in 1993. In this paper, we consider the possibility of applying this quantum technique to autonomous mobile classical platforms for control and autonomy purposes for the first time in this research. First, a review of how Quantum Entanglement and Quantum Cryptography can be integrated into macroscopic mechanical systems for controls and autonomy applications is presented, as well as how quantum teleportation concepts may be applied to the classical domain. In quantum teleportation, an entangled pair of photons which are correlated in their polarizations are generated and sent to two autonomous platforms, which we call the Alice Robot and the Bob Robot. Alice has been given a quantum system, i.e. a photon, prepared in an unknown state, in addition to receiving an entangled photon. Alice measures the state of her entangled photon and her unknown state jointly and sends the information through a classical channel to Bob. Although Alice original unknown state is collapsed in the process of measuring the state of the entangled photon (due to the quantum non-cloning phenomenon), Bob can construct an accurate replica of Alice state by applying a unitary operator. This paper, and the previous investigations of the applications of hybrid classical-quantum capabilities in control of dynamical systems, are aimed to promote the adoption of quantum capabilities and its advantages to the classical domain particularly for autonomy and control of autonomous classical systems.","PeriodicalId":412281,"journal":{"name":"Mechatron. Syst. Control.","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128192069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A Hybrid metaheuristic Navigation Algorithm for robot Path rolling Planning in an unknown Environment 未知环境下机器人路径滚动规划的混合元启发式导航算法

Mechatron. Syst. Control. Pub Date : 2019-02-26 DOI: 10.2316/j.2019.201-3000

Shoujiang Xu, Edmond S. L. Ho, Hubert P. H. Shum

{"title":"A Hybrid metaheuristic Navigation Algorithm for robot Path rolling Planning in an unknown Environment","authors":"Shoujiang Xu, Edmond S. L. Ho, Hubert P. H. Shum","doi":"10.2316/j.2019.201-3000","DOIUrl":"https://doi.org/10.2316/j.2019.201-3000","url":null,"abstract":"In this paper, a new method for robot path rolling planning in a static and unknown environment based on grid modelling is proposed. In an unknown scene, a local navigation optimization path for the robot is generated intelligently by ant colony optimization (ACO) combined with the environment information of robot’s local view and target information. The robot plans a new navigation path dynamically after certain steps along the previous local navigation path, and always moves along the optimized navigation path which is dynamically modified. The robot will move forward to the target point directly along the local optimization path when the target is within the current view of the robot. This method presents a more intelligent sub-goal mapping method comparing to the traditional rolling window approach. Besides, the path that is part of the generated local path based on the ACO between the current position and the next position of the robot is further optimized using particle swarm optimization (PSO), which resulted in a hybrid metaheuristic algorithm that incorporates ACO and PSO. Simulation results show that the robot can reach the target grid along a global optimization path without collision.","PeriodicalId":412281,"journal":{"name":"Mechatron. Syst. Control.","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127599218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Synchronization of Multiple Chaotic Systems using a nonlinear Grouping feedback function method 基于非线性分组反馈函数法的多混沌系统同步

Mechatron. Syst. Control. Pub Date : 2018-02-12 DOI: 10.2316/Journal.201.2018.1.201-2860

Ahmad Ruzitalab, M. H. Farahi, G. Erjaee

引用次数: 3

Research on the Distribution of magnetic field in Reinforced Concrete beams after damage based on the force-magnetic coupling Model 基于力-磁耦合模型的钢筋混凝土梁损伤后磁场分布研究

Mechatron. Syst. Control. Pub Date : 1900-01-01 DOI: 10.2316/j.2022.201-0270

Yu Xia, Zhen Li

引用次数: 0

Automatic tracking Algorithms based on Wearable Technology 基于可穿戴技术的自动跟踪算法

Mechatron. Syst. Control. Pub Date : 1900-01-01 DOI: 10.2316/J.2022.201-0212

Li Wang