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63rd IEEE Conference on Decision and control, CDC 2024

作者： Heath, William P. Carrasco, Joaquin Bangor University School of Computer Science and Engineering Dean St LL57 1UT United Kingdom Nancy Rothwell Building University of Manchester Control Systems and Robotics Group Department of Electrical and Electronic Engineering M13 9PL United Kingdom

ISBN: (纸本)9798350316339

Multipliers can be used to guarantee both the Lyapunov stability and input-output stability of Lurye systems with time-invariant memoryless slope-restricted nonlinearities. If a dynamic multiplier is used there is no guarantee the closedloop system has finite incremental gain. It has been suggested in the literature that without this guarantee such a system may be critically sensitive to time-varying exogenous signals including noise. We show that multipliers guarantee the power gain of the system to be bounded and quantifiable. Furthermore power may be measured about an appropriate steady state bias term, provided the multiplier does not require the nonlinearity to be odd. Hence dynamic multipliers can be used to guarantee Lurye systems have low sensitivity to noise, provided other exogenous systems have constant steady state. We illustrate the analysis with an example where the exogenous signal is a power signal with non-zero mean. © 2024 IEEE.

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An adaptive routing selection measure for mobile data-gathering mechanisms in wireless sensor networks

An adaptive routing selection measure for mobile data-gather...

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International Conference on Vehicle and Mechanical engineering and Information Technology, VMEIT 201.

作者： Bai, Xu Wang, Chang Hong Zhang, Jia Yan Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150080 China School of Electronics and Information Engineering Harbin Institute of Technology Harbin 150001 China Electrical and Computer Engineering The University of British Columbia Vancouver V6T1Z4 Canada

ISBN: (纸本)9783038350606

Wireless Sensor Networks(WSNs) allows users to accurately monitor a environment by intelligently combining the data from the distributed nodes. A cluster-based network topology can increase the scalability and lifetime, the cluster head gathering the data and transmitting them to Sink with single hop or multi-hop communication. In this paper, the energy consumption model for clustering networks were analyzed and an adaptive energy-efficient routing approach was given, then the hop mode selection condition was analyzed and simulated. © (201.) Trans Tech Publications, Switzerland.

关键词： Sensor nodes

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A new iterative learning control scheme for linear time-varying discrete systems

A new iterative learning control scheme for linear time-vary...

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作者： Hladowski, Lukasz Galkowski, Krzysztof Rogers, Eric Lewin, Paul L. Freeman, Christopher T. Institute of Control and Computation Engineering University of Zielona Gora Podgorna 50 65-246 Zielona Gora Poland School of Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom University of Wuppertal Germany

ISBN: (纸本)9783902661302

In this paper we use a repetitive process setting to develop a new iterative learning control algorithm for plants modelled by a discrete linear time-varying state space model. As the next step in evaluating its performance, the results of a simulation based study are given where the plant model used is that obtained from frequency responses tests on a gantry robot.

关键词： Frequency response

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Real Time Sound Source Localization Using von-Mises ResNet

Real Time Sound Source Localization Using von-Mises ResNet

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2024 IEEE/SICE International Symposium on System Integration, SII 2024

作者： Bozkurtlar, Mert Yen, Benjamin Itoyama, Katsutoshi Nakadai, Kazuhiro School of Engineering Tokyo Institute of Technology Department of Systems and Control Engineering 2-12-1 Ookayama Meguro-ku Tokyo152-8552 Japan Istanbul Technical University Faculty of Management Department of Industrial Engineering Maçka/Beşiktaş/Harbiye Istanbul34367 Turkey Istanbul Technical University Faculty of Computer and Informatics Engineering Department of Computer Engineering Sariyer/Ayazaga Istanbul34485 Turkey The Nakadai Lab Japan Honda Research Institute Japan Co. Ltd 8-1 Honcho Saitama Wako351-0188 Japan

ISBN: (纸本)9798350312072

This paper addresses the task of learning periodic information using deep neural networks to achieve real-time, environment-independent sound source localization. Previous papers showed phase data is the most significant cue in sound source localization tasks and the proposed vM-B DNN was validated to be able to handle such periodic information using on synthesized data. However, they haven't shown its effectiveness and robustness in realistic use cases. This paper introduces a more complex model based on residual networks and adapts vM-B activation function for convolutional layers for use cases that require real-time predictions in dynamically changing environments. © 2024 IEEE.

关键词： Deep neural networks

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Positive realness and the analysis of a class of 2D linear systems 15th

Positive realness and the analysis of a class of 2D linear s...

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1.th World Congress of the International Federation of Automatic control, 2002

作者： Galkowski, K. Paszke, W. Sulikowski, B. Rogers, E. Xu, S. Lam, J. Lin, Z. Owens, D.H. Institute of Control and Computation Engineering University of Zielona Gora Poland Department of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom Departament of Electrical and Computer Engineering University of Alberta EdmontonABT6G 2V4 Canada Department of Mechanical Engineering University of Hong Kong Hong Kong School of EEE Nanyang Technological University Nanyang Ave. Singapore639798 Singapore Department of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom

ISBN: (纸本)9783902661746

Repetitive processes are a distinct class of 2D linear systems with applications in areas ranging from long-wall coal cutting and metal rolling operations through to iterative learning control schemes. The main feature which makes them distinct from other classes of 2D linear systems is that information propagation in one of the two independent directions only occurs over a finite duration. This, in turn, means that a distinct systems theory must be developed for them, which can then be translated into efficient routinely applicable controller design algorithms for applications domains. In this paper, we give the first significant results on a positive realness based approach to the analysis of these processes. Copyright © 2002 IFAC.

关键词： Linear systems

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Particle filter approach to nonlinear system identification under missing observations with a real application

Particle filter approach to nonlinear system identification ...

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作者： Gopaluni, R. Bhushan Schön, Thomas B. Wills, Adrian G. Department of Chemical and Biological Engineering University of British Columbia Vancouver V6T 1Z3 Canada Division of Automatic Control Linköping University SE-581 83 Linköping Sweden School of Electrical Engineering and Computer Science University of New Castle Australia

ISBN: (纸本)9783902661470

This article reviews authors' recently developed algorithm for identification of nonlinear state-space models under missing observations and extends it to the case of unknown model structure. In order to estimate the parameters in a state-space model, one needs to know the model structure and have an estimate of states. If the model structure is unknown, an approximation of it is obtained using radial basis functions centered around a maximum a posteriori estimate of the state trajectory. A particle filter approximation of smoothed states is then used in conjunction with expectation maximization algorithm for estimating the parameters. The proposed approach is illustrated through a real application. © 2009 IFAC.

关键词： Nonlinear systems

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Analysis onto Competence-oriented engineering Education System:A Perspective into the Differences between Chinese and German engineering Education

Analysis onto Competence-oriented Engineering Education Syst...

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China-Europe International Symposium on Software engineering Education(CEISEE 201.)(第十四届中欧软件工程教育国际研讨会)

作者： Xin Zhang Hua Li Ying Zhang School of Computer Science and Technology Changchun University of Science and TechnologyChangchun 1 School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206Chin

Through engineering education,a set of didactical programs and activities are planned to bring the essential knowledge,expertise *** to the students from the corresponding discipline and make them gain the competence of coping with various professional problems *** holding the same views on the importance of developing competence, China and Germany construct the respective education systems in consideration of the different *** this paper,we propose the analysis onto the engineering education systems in the two countries and characterize the systems as *** reflecting the differences,we mainly propose three suggestions as the theoretical contribution for deriving advantages from the German engineering education system.

关键词： competence-oriented principles of training students education system comparison

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MIMO capacity upper bound for κ-μ and η-ν faded channels

MIMO capacity upper bound for κ-μ and η-ν faded channels

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201. 6th IEEE Radio and Wireless Week, RWW 201. - 201. IEEE Radio and Wireless Symposium, RWS 201.

作者： Vergara, Victor M. Barbin, Silvio E. Department of Electrical and Computer Engineering University of New Mexico 1 University of New Mexico Albuquerque NM 87131 United States Department of Telecommunications and Control Engineering Polytechnic School of Engineering University of São Paulo Av. Prof. Luciano Gualberto S/N - Trav. 3 158 - CEP 05508-900 Brazil

ISBN: (纸本)9781457711541

This work presents a capacity upper bound for MIMO systems under the general - and - fading models. It is shown that the theoretical bound depends only on the first and the second moments of the random elements in the channel matrix. Numerical simulations of - and - distributions are used to verify the theoretical results. © 201. IEEE.

关键词： MIMO systems

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Design of robust iterative learning control schemes in a finite frequency range

Design of robust iterative learning control schemes in a fin...

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201. 7th International Workshop on Multidimensional (nD) Systems, nDS 201.

作者： Paszke, Wojciech Rogers, Eric Galkowski, Krzysztof Institute of Control and Computation Engineering University of Lifelon Góra URL Podgórna 50 65-246 Lifelon Góra Poland School of Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom

ISBN: (纸本)9781612848167

Iterative learning control has been especially developed for systems defined over a finite duration that repeat the same task. Each execution is known as a trial, or pass, and the sequence of operations is that a trial is completed, the system is then reset to the starting location, and the next pass begins. The novel feature of this control law design method is to use information from the previous pass, or a finite number of previous passes, to update the control input applied on the next pass and thereby improve performance from pass-to-pass. Iterative learning control has an inherent two-dimensional systems structure since the dynamics evolve in two independent directions. In this paper, the repetitive process structure is exploited to develop a controller design algorithm that produces both a stabilizing feedback controller in the time domain and a feedforward controller that guarantees convergence in the pass-to-pass domain for all admissible uncertainties. Using the Generalized Kalman-Yakubovich-Popov lemma, controller design is performed over a finite frequency range. A major advantage of this new algorithm lies in the fact that it can be computed using linear matrix inequality software without incurring unacceptable computing cost. © 201. IEEE.

关键词： Linear matrix inequalities

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Swarm Intelligence Algorithm Inspired by Route Choice Behavior

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Journal of Bionic engineering 2016年第4期13卷 669-678页

作者： Daxin Tian Junjie Hu Zhengguo Sheng Yunpeng Wang Jianming Ma Jian Wang Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing 100191 China School of Transportation Science and Engineering Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beihang University Beijing 1 O0191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Nanjing 210096 China Department of Engineering and Design University of Sussex Brighton BN1 9RH UK The Texas Department of Transportation Austin TX78750 USA College of Computer Science and Technology Jilin University Changchun 130012 China

Travelers＇ route choice behavior, a dynamical learning process based on their own experience, traffic information, and influence of others, is a type of cooperation optimization and a constant day-to-day evolutionary process. Travelers adjust their route choices to choose the best route, minimizing travel time and distance, or maximizing expressway use. Because route choice behavior is based on human beings, the most intelligent animals in the world, this swarm behavior is expected to in- corporate more intelligence. Unlike existing research in route choice behavior, the influence of other travelers is considered for updating route choices on account of the reality, which makes the route choice behavior from individual to swarm. Anew swarm intelligence algorithm inspired by travelers＇ route choice behavior for solving mathematical optimization problems is introduced in this paper. A comparison of the results of experiments with those of the classical global Particle Swarm Optimization （PSO） algorithm demonstrates the efficacy of the Route Choice Behavior Algorithm （RCBA）. The novel algorithm provides a new approach to solving complex problems and new avenues for the study of route choice behavior.

关键词： swarm intelligence route choice behavior particle swarm optimization mathematical optimization

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