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Metamaterials, Metadevices, and Metasystems 2020

作者： Dourado Sisnando, Anderson Caetano Da Silva, Juarez Rodriguez-Esquerre, V.F. Liu, Zhaowei Center of Science and Technology in Energy and Sustainability Federal University of Recôncavo of Bahia Feira de Santana44042-280 Brazil Department of Automation and Systems Federal Institute of Bahia Salvador40301-015 Brazil Graduate School of Electrical Engineering Federal University of Bahia Salvador40155-250 Brazil School of Electrical and Computer Engineering University of California San Diego San diego92093 United States

ISBN: (纸本)9781510637269

We implement an efficient artificial neural network (ANN), for the analysis and rapid inverse design of dielectric and planar hyperbolic metamaterial based waveguides operating in the infrared wavelength (λ) telecommunication spectrum (1200nm to 1700nm), where long propagation length and high confinement of the fields are desirables. We consider waveguides made of alternate metal-dielectric layers anisotropic claddings, surrounding a homogeneous core. The main device propagation properties to be computed by the proposed ANN are the length propagation (L) and the penetration depth (dp) associated to every design (outputs of the ANN). They are function of the λ excitation, metal (nm), dielectric (nd) refractive indexes of the layers and core refractive index (nc) as physical parameters. Our approach demonstrates high behavior prediction, design accuracy and minimal modeling parameters. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Neural networks

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Traffic light and moving object detection for a guide-dog robot

Traffic light and moving object detection for a guide-dog ro...

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3rd Asian Conference on Artificial Intelligence Technology, ACAIT 2019

作者： Chen, Qiang Chen, Yinong Zhu, Jinhui De Luca, Gennaro Zhang, Mei Guo, Ying College of Computer and Information Science Southwest University Chongqing China School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe United States School of Software Engineering South China University of Technology Guangzhou China School of Automation Science and Control Engineering South China University of Technology Guangzhou China School of Information Science and Technology Qingdao University of Science and Technology Qingdao China

Guide dogs are helpful for visually impaired people for navigating through the streets. However, it is expensive and time consuming to train a guide dog. In addition, a guide dog cannot decide when and where to cross a street safely, and it is up to the human to decide. Here, the authors propose a framework for creating a guide dog robot by using artificial intelligence and other technologies. The proposed framework is based on an Intel UP squared board, together with a Neural Compute Stick Movidius to process the images gathered from a GoPro camera. MobileNet single shot detector (SSD) is the main framework to detect the moving objects in the environment. The final decision is made after fusing the information gathered from all the sources. The authors also apply the Amazon Alexa device for the voice communication between the guide dog robot and the visually impaired person. A prototype of the proposed system is implemented and tested. Experimental results show that the proposed framework can process the information at a traffic intersection scene and can guide a blind person to cross the street safely. © 2020 Institution of engineering and Technology. All rights reserved.

关键词： Object detection

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A novel LMI-based method for robust stabilization of fractional-order interval systems with 1 ≤ α < 2

arXiv

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arXiv 2020年

作者： Badri, Pouya Sojoodi, Mahdi Advanced Control Systems Laboratory School of Electrical and Computer Engineering Tarbiat Modares University Tehran Iran

This paper deals with the problem of robust dynamic output feedback stabilization of interval fractional-order linear time invariant (FO-LTI) systems with the fractional order 1 ≤ α Copyright © 2020, The Author... 详细信息

关键词： Linear matrix inequalities

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EigenMPC: An Eigenmanifold-Inspired Model-Predictive control Framework for Exciting Efficient Oscillations in Mechanical Systems

EigenMPC: An Eigenmanifold-Inspired Model-Predictive Control...

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IEEE Conference on Decision and control

作者： Andre Coelho Alin Albu-Schaeffer Arne Sachtler Hrishik Mishra Davide Bicego Christian Ott Antonio Franchi Institute of Robotics and Mechatronics of the German Aerospace Center (DLR) Oberpfaffenhofen Germany Dextrous Robotics Inc Memphis TN USA Robotics and Mechatronics Lab Faculty of Electrical Engineering Mathematics & Computer Science University of Twente Netherlands Department of Informatics Technical University of Munich Germany Automation and Control Institute (ACIN) Technical University of Vienna Austria LAAS-CNRS University of Toulouse France

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

This paper proposes a Nonlinear Model-Predictive control (NMPC) method capable of finding and converging to energy-efficient regular oscillations, which require no control action to be sustained. The approach builds up on the recently developed Eigenmanifold theory, which defines the sets of line-shaped oscillations of a robot as an invariant two-dimensional submanifold of its state space. By defining the control problem as a nonlinear program (NLP), the controller is able to deal with constraints in the state and control variables and be energy-efficient not only in its final trajectory but also during the convergence phase. An initial implementation of this approach is proposed, analyzed, and tested in simulation.

关键词： Analytical models Aerospace electronics Energy efficiency Trajectory Mechanical systems Oscillators Robots

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Mean Field LQ Games with a Finite Number of Agents

Mean Field LQ Games with a Finite Number of Agents

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International Conference on control, automation, Robotics and Vision (ICARCV)

作者： Bing-Chang Wang Huanshui Zhang Minyue Fu School of Control Science and Engineering. Shandong University Jinan P. R. China College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao P. R. China School of Electrical Engineering and Computer Science University of Newcastle NSW Australia

ISBN: (数字)9781728177090

ISBN: (纸本)9781728177106

In this paper, we are concerned with a new class of mean field games which involve a finite number of agents. With help of conditional mathematical expectation, we obtain necessary and sufficient conditions for the existence of the decentralized open-loop Nash equilibrium for finite-population games. By decoupling a non-standard forward-backward stochastic differential equation, we design a set of decentralized strategies in term of two differential Riccati equations. Instead of the s-Nash equilibrium, the set of decentralized strategies is shown be a Nash equilibrium. Furthermore, we examine the infinite-horizon problem and give a neat condition for solvability of the related algebraic Riccati equation.

关键词： Games Nash equilibrium Statistics Sociology Riccati equations Decentralized control Mathematical model

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Improving the Ramp Rate of Thermal Power Units Based on Deep Utilization of Coal Powder in Milling Systems 32

Improving the Ramp Rate of Thermal Power Units Based on Deep...

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第32届中国控制与决策会议

作者： GAO Yao-kui ZHANG Li-xia SHI Yu-wei HU Yong ZENG De-liang LI Geng-da LIU Miao State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University School of Control and Computer Engineering North China Electric Power University Guodian New Energy Technology Research Institute Co. Ltd

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

Improving the ramp rate of thermal power units is an important way to solve the problem of large-scale consumption of new energy in *** deep utilization of the coal powder in the milling system is one of the methods to accelerate the response rate of the boiler,thereby improving the ramp rate of thermal power *** on the analysis of the working principle and characteristics of a milling system,this paper considers the effect of primary air flow on the dynamics of the milling system,improves the simplest model of the milling system,and introduces the improved model into a drum boiler unit *** on the model,a new control strategy is designed based on the deep utilization of the coal powder in the milling *** strategy is based on the predictive control algorithm and combines the traditional feedforward and decoupling control *** importantly,the dynamic compensation of the primary air flow is used to achieve the deep utilization of the coal powder in the milling system,thus rapidly changing the amount of coal powder entering the *** results show that the strategy can better ensure the rapidity and stability of the thermal power unit when the load is changed.

关键词： Thermal Power Unit Milling System Ramp Rate Predictive control

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Intelligent GPS Spoofing Attack Detection in Power Grids

arXiv

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arXiv 2020年

作者： Sabouri, M. Siamak, S. Dehghani, M. Mohammadi, M. Asemani, M.H. Applied Control & Robotic Research Laboratory Shiraz University Shiraz Iran School of Electrical and Computer Engineering Shiraz Iran School of Electrical and Computer Engineering Shiraz Iran School of Mechanical Engineering Shiraz University Shiraz Iran Applied Control & Robotic Research Laboratory Shiraz University Shiraz Iran

The GPS is vulnerable to GPS spoofing attack (GSA), which leads to disorder in time and position results of the GPS receiver. In power grids, phasor measurement units (PMUs) use GPS to build time-tagged measurements, so they are susceptible to this attack. As a result of this attack, sampling time and phase angle of the PMU measurements change. In this paper, a neural network GPS spoofing detection (NNGSD) with employing PMU data from the dynamic power system is presented to detect GSAs. Numerical results in different conditions show the real-time performance of the proposed detection method Copyright © 2020, The Authors. All rights reserved.

关键词： Global positioning system

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Reentry Trajectory Optimization of Powered Hypersonic Vehicle for Improving Range based on Discontinuous Ignition

Reentry Trajectory Optimization of Powered Hypersonic Vehicl...

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Chinese automation Congress (CAC)

作者： Jun Lin Yingzi He Zhi Wang Jiang Zhao Beijing Institute of Control Engineering Beijing China Science and Technology on Space Intelligent Control Laboratory Beijing China School of Automation Science and Electrical Engineering Beihang University Beijing China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

In this paper, aiming at the discontinuous ignition reentry optimization problem of powered hypersonic vehicle, the reentry trajectory characteristics at different ignition time and ignition duration are analyzed by multiphase Gauss pseudospectral method. Given the attack angle and piecewise linear function described bank angle profiles, the problem of discontinuous ignition for powered reentry trajectory optimization is transformed into a parameter planning problem of ignition time, ignition duration, bank angle parameters and total flight time. By solving the nonlinear multi-constraint parameter optimization problem, the optimal ignition time, ignition duration and bank angle are obtained. Zero value bank angle and real-time calculation bank angle simulation examples are designed to optimize bank angle and ignition commands, respectively. The simulation results show that the discontinuous ignition reentry trajectory optimization problem of powered hypersonic vehicle can be solved by parameterized bank angle profile.

关键词： Ignition Optimization Trajectory optimization Vehicle dynamics Fuels Aerodynamics Kinematics

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Spacecraft Attitude control with Saturation and Attitude Forbidden Constraints via Second⁃Order Cone Programming

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Transactions of Nanjing University of Aeronautics and Astronautics 2021年第2期38卷 237-248页

作者： CHEN Xi CAO Ruihao HU Qinglei School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191P.R.China Xi’an Flight Automatic Control Research Institute Aviation Industry Corporation of ChinaXi’an 710076P.R.China Beijing Advanced Innovation Center for Big-Data Based Precision Medicine Beihang UniversityBeijing 100191P.R.China

This paper investigates the optimal control problem of spacecraft reorientation subject to attitude forbidden constraints,angular velocity saturation and actuator saturation simultaneously.A second-order cone programming(SOCP)technology is developed to solve the strong nonlinear and non-convex control problem in real ***,the nonlinear attitude kinematic and dynamic are transformed and relaxed to a standard affine system,and linearization and L1 penalty technique are adopted to convexify non-convex inequality *** the proposed quadratic performance index of angular velocity,the optimal control solution is obtained with high accuracy using the successive SOCP ***,the effectiveness of the algorithm is validated by numerical simulation.

关键词： spacecraft reorientation attitude forbidden constraints actuator saturation velocity saturation secondorder cone programming(SOCP)

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Abnormal Behavior Detection Based on the Potential Field Forces in Surveillance Scenarios

Abnormal Behavior Detection Based on the Potential Field For...

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作者： Yong Qiang Shumin Fei Liuwen Li Key Laboratory of Measurement and Control of CSE(Ministry of Education) School of Automation Southeast University School of Computer Engineering Jinling Institute of Technology

In a social environment, there is a natural mutual force between people. This paper proposes a method for detecting group abnormal behavior based on the potential field method. The movement of a pedestrian is described as the movement towards the target under the combined action of several forces. Forces on pedestrians include the attractive force for themselves and the repulsive force between pedestrians. By calculating the resultant force between them, the behavior of pedestrians is judged according to a set threshold. It is verified through experiments on public data sets that our method has high accuracy and robustness.

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