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Megapolis as a Symbiosis of Socio-Economic Ecosystems: The Role of Collaboration

Journal of Open Innovation: technology, Market, and Complexity 2022年第3期8卷

作者： Tolstykh, Tatyana Gamidullaeva, Leyla Shmeleva, Nadezhda Gromov, Sergey Ermolenko, Alexander Department of Industrial Strategy National University of Science & Technology (MISIS) Moscow 119049 Russian Federation Department of the Industrial Economics Plekhanov Russian University of Economics Moscow 119049 Russian Federation Department of Marketing Commerce and Services Penza State University Penza 440026 Russian Federation Department of Economics National University of Science & Technology (MISIS) Moscow 119049 Russian Federation Department of Automated Control Systems National University of Science & Technology (MISIS) Moscow 119049 Russian Federation Independent Researcher Krasnodar 350001 Russian Federation

In recent years, smart and ecological urbanism and transformations into the new models of city making have become a global mainstream. These are models of the smart city, the eco-city, and the eco-megacity. The article proposes a conceptual approach to the formation of the eco-megacity as a qualitatively new phenomenon in the post-industrial economy. The prerequisites for the transformation of a megapolis into an eco-megacity have been analyzed. The key characteristics of the new phenomenon have been revealed. The role of collaboration as the main factor in increasing the efficiency of interaction processes between ecosystem actors and between ecosystems themselves has been presented. The relationship of the formed ecosystem approaches and the groups of actors during implementation of an institutional project in the megapolis have been determined. It allows for the transformation of a megapolis into an eco-megacity. The ant colony optimization algorithm for studying the symbiosis of socio-economic ecosystems in the megapolis has been proposed. The authors have attempted to contribute to the development of theoretical and methodological aspects of the emerging eco-megacity concept as a new phenomenon of the modern economy. © 2022 by the authors.

关键词： ant algorithm collaboration process eco-megacity ecosystem approach institutional approach megapolis transformation symbiosis

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Optimal DoS attack on multi-channel cyber-physical systems: A Stackelberg game analysis

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Security and Safety 2024年第3期3卷 4-7页

作者： Zhuping Wang Haoyu Shen Hao Zhang Sheng Gao Huaicheng Yan Department of Control Science and Engineering Tongji UniversityShanghai 200092China Shanghai Research Institute for Intelligent Autonomous Systems Shanghai 201210China School of Information Science and Engineering East China University of Science and TechnologyShanghai 200237China

1 Problem formulation1.1 System model and communication channel Consider a simplified model of a cyber-physical system (CPS) with a physical plant,m wireless sensors,and a remote estimator,which has been widely applied in existing literature [1-3].It is assumed that thereexists a Denial-of-Service (DoS) attacker in the environment.

关键词： DoS Service channel

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Generation Mechanism and Dual Dynamic Simulations of Surface Patterns in Single-Point Diamond Turning of Single-Crystal Copper

Research Square

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Research Square 2021年

作者： Xiong, Jie Chen, Yanbing Dai, Yuqi Zhang, Guoqing Ran, Jiaqi To, Sandy Shenzhen Key Laboratory of High Performance Nontraditional Manufacturing College of Mechatronics and Control Engineering Shenzhen University Nan-hai Ave 3688 Guangdong Shenzhen518060 China Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots College of Mechatronics and Control Engineering Shenzhen University Nan-hai Ave 3688 Guangdong Shenzhen518060 China State Key Laboratory of Ultra-precision Machining Technology Department of Industrial and Systems Engineering Hong Kong Polytechnic University Kowloon Hong Kong

Single-crystal copper (Cu), whose atom arrangement is in the same direction and has no grain boundary, is widely used in defense technology, civil electronics and network communication. As a diamond turnable material, fan-shaped patterns appear on the machined surface, which affects the machined surface quality and the optical function it carries. Previous studies on the surface generation mechanism in single-point diamond turning (SPDT) of Cu were limited to experimental analysis, while there is a lack of fundamental understanding of the fan-shaped pattern generation mechanism and suppression method. In the present study, the different fan-shaped patterns, surface quality, cutting force and chip morphology of the typical crystal planes (100), (110) and (111) planes of Cu were studied by both theoretical and experimental analyses. A molecular dynamics (MD) simulation was conducted to present the fundamental generation mechanism of the fan-shaped patterns from atom arrangement directions and its angle change with the main cutting direction, while a cutting dynamics model was established to simulate the generation of fan-shaped patterns on the machined surface. Based on theoretical and experimental analysis, it was found that the atom density arrangement directions of Cu and its angle change with © 2021, CC BY.

关键词： Molecular dynamics

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Hardware-in-the-Loop Simulation Testbed for Three-Axis Earth's Magnetic Field Generation Based on 2.4- Meter Square Helmholtz Coils

Hardware-in-the-Loop Simulation Testbed for Three-Axis Earth...

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IEEE Symposium on Position Location and Navigation (PLANS)

作者： Jormpon Chaisakulsurin Shariff Manuthasna Tanawish Masri Thanayuth Panyalert Kritsada Palee Pakawat Prasit Patcharin Kamsing Peerapong Torteeka Thai Space Consortium Project National Astronomical Research Institute of Thailand (Public Organization) Chiang-Mai Thailand Center of Observatory Operation and Engineering National Astronomical Research Institute of Thailand (Public Organization) Chiang-Mai Thailand Faculty of Engineering Program in Robotics and Computational Intelligence Systems International Academy of Aviation Industry King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Department of Aeronautical Engineering Air-Space Control Optimization and Management Laboratory International Academy of Aviation Industry King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

This paper proposes a Hardware-in-the-Loop sim-ulation (HiLs) tested via square Helmholtz coils as a relative magnetic field generator. In technical terms, the HiLs is an indispensable tool for engineering design during rapid proto-typing of attitude determination and control algorithms for the turning parameters that control the attitude of the satellite, since most of the satellite's mission relies on its attitude, making this system one of the most essential to the satellite's operation. More-over, performing controlled experiments with the parameters for developing adaptive control algorithms improves the overall efficiency of the satellite's kinematic system. The conceptual design of a proposed system architecture can be composed of the electrical currents of 2.4-meter square Helmholtz coils produced by a low-level microcontroller equipped with a DC-motor driver by a pulse-width modulation (PWM) signal through real-time connection to an orbit propagator using a high-level computer. This research focuses on the attitude dynamic of satellites through the interaction between the Earth's magnetic field (EMF) and the magnetotorque in the satellite. To apply this phenomenon, the intensity and the direction of the magnetic field must be identified through Biot-Savart's law. Along with the EMF, the reference position is calculated using the standard general perturbations satellite orbit model (SGP4), and the intensity is modeled based on coefficients from the 13 th edition of the International Geo-magnetic Reference Field (IGRF). Therefore, this paper presents a detailed development of a HiLs testbed for distributed attitude determination and control systems (hardware and software co-design, protocol, and control theory). Furthermore, it discusses a classic cooperative control case for the output of magnetic field intensity and direction, which was undertaken to explain the integrated simulation process and validate the effectiveness of the co-simulation tested to be

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A Hybrid controller for Obstacle Avoidance in an n-dimensional Euclidean Space

arXiv

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arXiv 2019年

作者： Berkane, Soulaimane Bisoffi, Andrea Dimarogonas, Dimos V. The Department of Automatic Control KTH Royal Institute of Technology Sweden

For a vehicle moving in an n-dimensional Euclidean space, we present a construction of a hybrid feedback that guarantees both global asymptotic stabilization of a reference position and avoidance of an obstacle corresponding to a bounded spherical region. The proposed hybrid control algorithm switches between two modes of operation: stabilization (motion-to-goal) and avoidance (boundary-following). The geometric construction of the flow and jump sets of the hybrid controller, exploiting a hysteresis region, guarantees robust switching (chattering-free) between the stabilization and avoidance modes. Simulation results illustrate the performance of the proposed hybrid control approach for a 3-dimensional scenario. Copyright © 2019, The Authors. All rights reserved.

关键词： Stabilization

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Robust data-driven state-feedback design

Robust data-driven state-feedback design

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American control Conference

作者： Julian Berberich Anne Koch Carsten W. Scherer Frank Allgower Institute for Systems Theory and Automatic Control University of Stuttgart Stuttgart Germany Institute of Mathematical Methods in the Engineering Sciences Numerical Analysis and Geometrical Modeling Department of Mathematics University of Stuttgart Stuttgart Germany

ISBN: (数字)9781538682661

ISBN: (纸本)9781538682678

We consider the problem of designing robust state-feedback controllers for discrete-time linear time-invariant systems, based directly on measured data. The proposed design procedures require no model knowledge, but only a single open-loop data trajectory, which may be affected by noise. First, a data-driven characterization of the uncertain class of closed-loop matrices under state-feedback is derived. By considering this parametrization in the robust control framework, we design data-driven state-feedback gains with guarantees on stability and performance, containing, e.g., the H_ ∞-control problem as a special case. Further, we show how the proposed framework can be extended to take partial model knowledge into account. The validity of the proposed approach is illustrated via a numerical example.

关键词： data driven design process Robust control numerical example Time invariant systems

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A benchmark for multi-UAV task assignment of an extended team orienteering problem

arXiv

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arXiv 2020年

作者： Xiao, Kun Nie, Ying Wang, Xiangke Lu, Junqi Ma, Lan Wang, Guohui Beijing Institute of Aerospace Systems Engineering Beijing China Beijing Aerospace Automatic Control Institute Beijing China College of Intelligence Science and Technology National University of Defense Technology Changsha China China Academy of Launch Vehicle Technology Beijing China

A benchmark for multi-UAV task assignment is presented in order to evaluate different algorithms. An extended Team Orienteering Problem is modeled for a kind of multi-UAV task assignment problem. Three intelligent algorithms, i.e., Genetic Algorithm, Ant Colony Optimization and Particle Swarm Optimization are implemented to solve the problem. A series of experiments with different settings are conducted to evaluate three algorithms. The modeled problem and the evaluation results constitute a benchmark, which can be used to evaluate other algorithms used for multi-UAV task assignment problems. Copyright © 2020, The Authors. All rights reserved.

关键词： Combinatorial optimization

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Learning MPC: System stability and convergent identification under bounded modelling error

Learning MPC: System stability and convergent identification...

引用

2018 Australian and New Zealand control Conference, ANZCC 2018

作者： Grzedzinski, Kacper Trodden, Paul Rolls-Royce Control Monitoring and Systems Engineering University Technology Centre Department of Automatic Control and Systems Engineering University of Sheffield United Kingdom

ISBN: (纸本)9781538666173

The dual-control problem of simultaneously regulating a plant and identifying its dynamics is addressed in a linear model predictive control (MPC) framework. We propose and study an approach where two optimal control problems are solved in series, online: The first is a standard regulating linear quadratic MPC problem, which achieves exponential nominal stability;the second is an ancillary optimization problem that promotes persistency of excitation, in order to facilitate online learning of the system dynamics. Maximization of the minimum eigenvalue of predicted information matrix increments, in a recursive least squares (RLS) scheme, is used. Our main result, achieved by employing inherent robustness from exponentially stabilizing MPC, establishes a bound on the permitted magnitude of excitation applied by the secondary optimization;in terms of the system model error. Satisfaction of this bound guarantees stability of the closed-loop uncertain system, despite the exciting perturbations. © 2018 IEEE.

关键词： Model predictive control

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Reference design for closed loop system optimization

arXiv

引用

arXiv 2020年

作者： Balula, Samuel Liniger, Alex Rupenyan, Alisa Lygeros, John Automatic Control Laboratory Department of Electrical Engineering and Information Technology ETH Zurich Switzerland Inspire AG ETH Zurich Switzerland Computer Vision Lab Department of Electrical Engineering and Information Technology ETH Zurich Switzerland

An optimization-based method for improving the productivity of precision machine tools is proposed, where the reference path is computed in local coordinates, and information about the machine tool performance is learned from experimental data. The optimization yields a modified reference that is tracked by the existing low-level controller. The method is tested in simulation for a biaxial positioning system. The positioning system is modelled as double integrator, and the controller characteristic is modelled from experimental data using a least-squares fit. Simulation results show that the method is effective in designing optimal references even for challenging geometries such as sharp corners. The application of this procedure allows the retrofit of the control of existing machines with minimal overhead, by providing a modified reference file to track. Copyright © 2020, The Authors. All rights reserved.

关键词： Closed loop systems

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AGV Semantic Attack Detection Based on Hidden Markov Model

AGV Semantic Attack Detection Based on Hidden Markov Model

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IEEE International Conference on Industrial technology (ICIT)

作者： Sichao Zhang Wei Liang Yinlong Zhang Zhibo Pang State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China University of Chinese Academy of Sciences Beijing China Department of Automation Technology ABB Corporate Research Sweden Vasteras Sweden

ISBN: (纸本)9781728119496

automatic Guided Vehicle (AGV) semantic attack is now becoming an important research topic in digital workshops. Unfortunately, the conventional attack detections could trigger the wrong attack detection alarms, because of the unexpected wireless radio frequency interference. This paper investigates a new method for AGV semantic attack detection based on Hidden Markov Model (HMM). Our method is able to discriminate the typical wireless retransmission in presence of environment interference or in the context of AGV semantic attack by comparing the hidden state transition probability with the predefined threshold. Our model has been evaluated on our developed platform. The extensive experimental results and analysis prove the effectiveness of our method.

关键词： Wireless communication Conferences Semantics Hidden Markov models Interference Markov processes Radiofrequency interference

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