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International Conference on Distributed Computing in Sensor Systems (DCOSS)

作者： Grigore Stamatescu Kay Romer Ralf Ludwig Saleh M. Ibrahim Valentin Sgârciu Faculty of Automatic Control and Computers University Politehnica of Bucharest Bucharest Romania Institute of Computer Engineering University of Lübeck Lubeck Germany Department of Dermatology University of Lübeck Lubeck Germany

Medical research uses laboratory mice for experimental studies. Currently, symptoms are manually observed and recorded, resulting in noisy data - requiring many animals to obtain statistically significant results. We propose the use of a camera sensor network attached to mice cages as a low-cost solution for continuously monitoring mouse behavior and providing remote access to the data for scientists. The benefits of this approach are discussed along with challenges encountered in the initial phases of deployment. The proposed hardware and software architecture is described and early experimentation results are presented.

关键词： Mice Cameras Monitoring Laboratories Image color analysis

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Method of Blob Detection Based on Radon Transform

Method of Blob Detection Based on Radon Transform

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第30届中国控制与决策会议

作者： Cheng Chen Qipeng Chen Chang Gao Nan Zhang Xuguang Wang Yongjie Zhai Power Systems Artificial Intelligence Joint Laboratory of SGCC Global Energy Interconnection Research Institute co. Ltd School of Control and Computer Engineering North China Electric Power University

Blob has been widely used in image matching, target identification, and target tracking, etc., which makes efficient Blob detection a fundamental research subject in computer vision applications. Inspired by Radon transform and taking the geometric characteristics of Blob into account, a Blob detection method is proposed in this paper. Firstly,a definition of the Blob response function is given, which is used to implement the statistics of intensity variations along the edges on both sides of the Blob. Then taking the calculated function value as the energy of the Blob center, the Blob is extracted by comparing the empirical threshold with the function value. Some experiments are carried out, and the results indicate that the proposed method can not only locate the position of Blobs with speed and accuracy, but also possess a good robustness to noises.

关键词： feature point Blob feature detection Radon transform

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Non-Convex Potential Games for Finding Global Solutions to Sensor Network Localization

Non-Convex Potential Games for Finding Global Solutions to S...

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European control Conference (ECC)

作者： Gehui Xu Guanpu Chen Yiguang Hong Baris Fidan Thomas Parisini Karl H. Johansson Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Beijing China Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Department of Control Science and Engineering Tongji University Shanghai China Shanghai Research Institute for Intelligent Autonomous Systems Shanghai China Department of Mechanical and Mechatronics Engineering University of Waterloo Waterloo ON Canada Department of Electrical and Electronic Engineering Imperial College London London UK Department of Engineering and Architecture University of Trieste Trieste Italy

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

Sensor network localization (SNL) problems require determining the physical coordinates of all sensors in a network. This process relies on the global coordinates of anchors and the available measurements between non-anchor and anchor nodes. Attributed to the intrinsic non-convexity, obtaining a globally optimal solution to SNL is challenging, as well as implementing corresponding algorithms. In this paper, we formulate a non-convex multi-player potential game for a generic SNL problem to investigate the identification condition of the global Nash equilibrium (NE) therein, where the global NE represents the global solution of SNL. We employ canonical duality theory to transform the non-convex game into a complementary dual problem. Then we develop a conjugation-based algorithm to compute the stationary points of the complementary dual problem. On this basis, we show an identification condition of the global NE: the stationary point of the proposed algorithm satisfies a duality relation. Finally, simulation results are provided to validate the effectiveness of the theoretical results.

关键词： Location awareness Coordinate measuring machines Simulation Current measurement Noise Europe Games

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Improving reinforcement learning using temporal-difference network EUROCON2009

Improving reinforcement learning using temporal-difference n...

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Eurocon

作者： Habib Karbasian Majid N. Ahmadabadi Babak N. Araabi Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran School of Cognitive Sciences Institute for Studies Theoretical Physics and Mathematics (IPM) Tehran Iran

Reinforcement learning has been one of popular learning methods for many problems in many different domains. The important point for this method is how fast and efficient it is to learn a new problem. In this paper, we present a new approach to increase the efficiency of the reinforcement learning method with the great help of a predictive model of the problem's environment called temporal-difference network along with observation. This TD network is nourished with the knowledge extracted from another problem with the same task using TD network. First a reinforcement-learning agent tries to learn its environment for the task of wall following. After that we train temporal-difference network (TDN) with intervening observation in the brain of the agent in order to gain a predictive model of the environment. Later the most promising sequences of action-observation of the given environment will be extracted as knowledge to strengthen the reinforcement learning problem in a new environment. Finally this knowledge helps the reinforcement procedure to produce more efficient results.

关键词： Robot sensing systems Intelligent sensors Predictive models Intelligent robots Learning systems Intelligent agent Process control Intelligent control Physics computing Mathematics

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Scheme Analysis of Capacity-increasing Transformation for Reheaters of 300MW Boilers in a Power Plant

Scheme Analysis of Capacity-increasing Transformation for Re...

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2013 International Conference on Materials for Renewable Energy and Environment

作者： Jingjing Wang Zhenning Zhao Liwei Xu Wanye Yao North China Electric Power Research Institute Co. Ltd. School of Control and Computer Engineering North China Electric Power University School of Energy Power and Mechanical EngineeringNorth China Electric Power University

ISBN: (纸本)9781479933372

The steam temperature at the outlet of the reheater has always been lower than the designed value in a power plant.A reheat steam temperature adjustment test was conducted on the two subcritical,intermediate reheat and natural circulation boilers in the power *** analyzing the test data,reasons of the low reheat steam temperature have been ***’s more,three schemes about capacity-increasing transformation for reheaters have been proposed and compared,after which the most reasonable one is *** is studied in the paper provides helpful experiences in solving similar problems for boilers of the same type.

关键词： 300MW boilers reheat steam temperature capacity-increasing transformation

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Parameter estimation and control of an unmanned aircraft-based transportation system for variable-mass payloads

Parameter estimation and control of an unmanned aircraft-bas...

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作者： Alatorre, Armando Espinoza, Eduardo S. Sánchez, Bonifacio Ordaz, Patricio Muñoz, Filiberto García Carrillo, Luis Rodolfo French-Mexican Laboratory of Informatics and Automatics Center of Research and Advanced Studies of the National Polytechnic Institute México City Mexico Automatic Control Department Center of Research and Advanced Studies of the National Polytechnic Institute México City Mexico Research Center of Information Technologies and Systems Autonomous University of the State of Hidalgo Hidalgo Mexico Klipsch School of Electrical and Computer Engineering New Mexico State University Las CrucesNM United States

This paper deals with the development of an adaptive robust controller for an Unmanned Aircraft System with variable mass. The goal is to improve trajectory tracking and energy performance while the aircraft mass is gradually reducing due to payload release. To improve the trajectory tracking performance, we propose an algorithm that merges the concepts of least squares method and sliding mode observer for the estimation of the vehicle mass. The nonlinear observer estimates the linear velocities and accelerations, which are further used to obtain the vehicle mass. A robust adaptive pole placement controller based on the Attractive Ellipsoid Method uses this estimation to update the controllers gains due to the mass variation. To validate the effectiveness of the proposed algorithm for performing aerial transportation and deployment of payloads, we present a numerical example comparing the performance of the proposed method with respect to using Proportional Derivative controllers as well as Robust controllers. © 2021 Chinese Automatic control Society and John Wiley & Sons Australia, Ltd

关键词： controllers

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Multi-objective Robot Path Planning based on Bare Bones Particle Swarm Optimization with Crossover Operation

Multi-objective Robot Path Planning based on Bare Bones Part...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Jianhua Zhang Yong Zhou Yong Zhang School of Mechanical and Electrical Engineering Xuzhou Institute of Technology Xuzhou China School of Computer Science Technology China University of Mining and Technology Xuzhou China School of Information and Control Engineering China University of Mining and Technology Xuzhou China

ISBN: (纸本)9781538680988;9781538680971

This paper proposes an improved multi-objective robot path planning based on bare bones particle swarm optimization and crossover operation of Genetic algorithm. First, the path planning is mathematically formulated as a constrained multiobjective optimization problem with two indices, i.e. the path length and the safety degree of a path. Then, a multi-objective bare bones particle swarm optimization combined with crossover operation is developed to solve the above model. Aiming at the infeasible paths blocked by obstacles in evolution, three modified crossover operations, i.e. multi-point crossover, uniform crossover and arithmetic crossover, are designed to improve the feasibility of an infeasible path. Finally, simulation results confirm the effectiveness of our algorithm.

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Modeling and Analysis of a Coupled SIS Bi-Virus Model

arXiv

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arXiv 2022年

作者： Gracy, Sebin Paré, Philip E. Liu, Ji Sandberg, Henrik Beck, Carolyn L. Johansson, Karl Henrik Başar, Tamer Department of Electrical Engineering and Computer Science South Dakota School of Mines and Technology SD United States School of Electrical and Computer Engineering Purdue University IN United States Department of Electrical and Computer Engineering Stony Brook University United States Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology and Digital Futures Stockholm Sweden Coordinated Science Laboratory University of Illinois at Urbana-Champaign United States

The paper deals with the setting where two viruses (say virus 1 and virus 2) coexist in a population, and they are not necessarily mutually exclusive, in the sense that infection due to one virus does not preclude the possibility of simultaneous infection due to the other. We develop a coupled bi-virus susceptible-infected-susceptible (SIS) model from a 4n-state Markov process, where n is the number of agents (i.e., individuals or subpopulation) in the population. We identify a sufficient condition for both viruses to eventually die out, and a sufficient condition for the existence, uniqueness and asymptotic stability of the endemic equilibrium of each virus. We establish a sufficient condition and multiple necessary conditions for local exponential convergence to the boundary equilibrium (i.e., one virus persists, the other one dies out) of each virus. Under mild assumptions on the healing rate, we show that there cannot exist a coexisting equilibrium where for each node there is a nonzero fraction infected only by virus 1;a nonzero fraction infected only by virus 2;but no fraction that is infected by both viruses 1 and 2. Likewise, assuming that healing rates are strictly positive, a coexisting equilibrium where for each node there is a nonzero fraction infected by both viruses 1 and 2, but no fraction is infected only by virus 1 (resp. virus 2) does not exist. Further, we provide a necessary condition for the existence of certain other kinds of coexisting equilibria. We show that, unlike the competitive bivirus model, the coupled bivirus model is not monotone. Finally, we illustrate our theoretical findings using an extensive set of simulations. © 2022, CC0.

关键词： Coronavirus

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Approximate Dynamic Programming for Platoon Coordination under Hours-of-Service Regulations

arXiv

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arXiv 2022年

作者： Bai, Ting Johansson, Alexander Johansson, Karl Henrik Mårtensson, Jonas The Integrated Transport Research Lab Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Stockholm SE-100 44 Sweden

Truck drivers are required to stop and rest with a certain regularity according to the driving and rest time regulations, also called Hours-of-Service (HoS) regulations. This paper studies the problem of optimally forming platoons when considering realistic HoS regulations. In our problem, trucks have fixed routes in a transportation network and can wait at hubs along their routes to form platoons with others while fulfilling the driving and rest time constraints. We propose a distributed decision-making scheme where each truck controls its waiting times at hubs based on the predicted schedules of others. The decoupling of trucks' decision-makings contributes to an approximate dynamic programming approach for platoon coordination under HoS regulations. Finally, we perform a simulation over the Swedish road network with one thousand trucks to evaluate the achieved platooning benefits under the HoS regulations in the European Union (EU). The simulation results show that, on average, trucks drive in platoons for 37 % of their routes if each truck is allowed to be delayed for 5 % of its total travel time. If trucks are not allowed to be delayed, they drive in platoons for 12 % of their routes. © 2022, CC BY-NC-ND.

关键词： Trucks

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Application of DTF method in disturbance propagation analysis of complex chemical process

Application of DTF method in disturbance propagation analysi...

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IEEE International Conference on Networking, Sensing and control

作者： Ke Li Lei Xie Xiaocheng Ge Xu Wang State Laboratory of Industrial Control Technology Zhejiang University Hangzhou China Department of Computer Science University of York York UK Shanghai Nuclear Engineering Research and Design Institute Shanghai China

Oscillations usually propagate to other loops with the delivery of mass and energy, then cause plant-wide oscillation and affect the performance of whole control system in complex chemical process. DTF (Directed Transfer Function) method, which has been widely used to analyze information flow in the brain structures in biomedical area, is applied to the disturbance propagation analysis of complex chemical process in this paper. Based on MVAR (Multivariate Autoregressive) model, DTF can analyze the multivariate causality simultaneously and calculate the causality quantitatively. Based on the DTF value, one can draw the causality graph, get the disturbance propagation path and finally locate fault sources. The results of simulation on TEP (Tennessee Eastman Process) are presented to illustrate the effectiveness of the proposed approach.

关键词： Feeds Biological system modeling Inductors Brain modeling Cooling Valves

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