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state estimation with fading measurements, randomly varying nonlinearities and probabilistic distributed delays

International Journal of Robust and Nonlinear control 2014年第13期25卷

作者： Derui Ding Zidong Wang Bo Shen Hongli Dong School of Information Science and Technology Donghua University Shanghai 200051 China Department of Computer Science Brunel University Uxbridge Middlesex UB8 3PH UK NAAM Research Group Department of Mathematics King Abdulaziz University Jeddah 21589 Saudi Arabia Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg 47057 Germany College of Electrical and Information Engineering Northeast Petroleum University Daqing 163318 China

In this paper, the state estimation problem is investigated for a class of discrete-time stochastic systems in simultaneous presence of three network-induced phenomena, namely, fading measurements, randomly varying nonlinearities and probabilistic distributed delays. The channel fading is characterized by the ℓ th-order Rice fading model whose coefficients are mutually independent random variables with given probability density functions. Two sequences of random variables obeying the Bernoulli distribution are utilized to govern the randomly varying nonlinearities and probabilistic distributed delays. The purpose of the problem addressed is to design an state estimator such that the dynamics of the estimation errors is stochastically stable and the prespecified disturbance rejection attenuation level is guaranteed. Through intensive stochastic analysis, sufficient conditions are established under which the addressed state estimation problem is recast as a convex optimization one that can be solved via the semi-definite program method. Finally, a simulation example is provided to show the usefulness of the proposed state estimation scheme. Copyright © 2014 John Wiley & Sons, Ltd.

关键词： state estimation fading measurements randomly varying nonlinearities probabilistic distributed delays

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Mathematical relationships between representations of structure in linear interconnected dynamical systems

Mathematical relationships between representations of struct...

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作者： Yeung, E. Gonçalves, J. Sandberg, H. Warnick, S. Control and Dynamical Systems California Institute of Technology United States Information and Decision Algorithms Laboratories Brigham Young University Provo UT United States Control Group Department of Engineering University of Cambridge Cambridge United Kingdom Automatic Control Laboratory KTH School of Electrical Engineering Stockholm Sweden

ISBN: (纸本)9781457700804

A dynamical system can exhibit structure on multiple levels. Different system representations can capture different elements of a dynamical system's structure. We consider LTI input-output dynamical systems and present four representations of structure: complete computational structure, subsystem structure, signal structure, and input output sparsity structure. We then explore some of the mathematical relationships that relate these different representations of structure. In particular, we show that signal and subsystem structure are fundamentally different ways of representing system structure. A signal structure does not always specify a unique subsystem structure nor does subsystem structure always specify a unique signal structure. We illustrate these concepts with a numerical example. © 2011 AACC American automatic control Council.

关键词： Dynamical systems

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A complete gradient clustering algorithm

A complete gradient clustering algorithm

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3rd International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011

作者： Kulczycki, Piotr Charytanowicz, Malgorzata Systems Research Institute Polish Academy of Sciences Center for Stochastic Data Analysis Methods Newelska 6 PL-01-447 Warsaw Poland Cracow University of Technology Department of Automatic Control and Information Technology Cracow Poland Catholic University of Lublin Institute of Mathematics and Computer Science Lublin Poland

ISBN: (纸本)9783642238956

A gradient clustering algorithm, based on the nonparametric methodology of statistical kernel estimators, expanded to its complete form, enabling implementation without particular knowledge of the theoretical aspects or laborious research, is presented here. The possibilities of calculating tentative optimal parameter values, and then - based on illustrative interpretation - their potential changes, result in the proposed Complete Gradient Clustering Algorithm possessing many original and valuable, from an applicational point of view, properties. Above all the number of clusters is not arbitrarily imposed but fitted to a real data structure. It is also possible to increase the scale of the number (still avoiding arbitrary assumptions), as well as the proportion of clusters in areas of dense and sparse situation of data elements. The method is universal in character and can be applied to a wide range of practical problems, in particular from the bioinformatics, management and engineering fields. © 2011 Springer-Verlag.

关键词： Clustering algorithms

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Mathematical Relationships Between Representations of Structure in Linear Interconnected Dynamical systems

Mathematical Relationships Between Representations of Struct...

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2011 American control Conference (ACC)

作者： E. Yeung J. Goncalves H. Sandberg S. Warnick Control and Dynamical Systems California Institute of Technology USA Control Group Department of Engineering University of Cambridge Cambridge UK Automatic Control Laboratory KTH School of Electrical Engineering Stockholm Sweden Information and Decision Algorithms Laboratories Brigham Young University Provo UT USA

关键词： Transfer functions Periodic structures Computational modeling Equations Silicon Input variables Laboratories

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Guest Editorial

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IEEE Transactions on Industrial Electronics 2011年第4期58卷 1074-1080页

作者： Marco Liserre Josep Balcells Thomas Basso Jan T. Bialasiewicz Carlo Cecati Sudipta Chakraborty Josep M. Guerrero Mehrdad Kazerani Friederich Kupzog Adel Nasiri Peter Palensky José Rodriguez Pedro Rodríguez Thilo Sauter Remus Teodorescu Polytechnic University of Bari Bari Italy Universitat Politéchnica de Catalunya Barcelona Spain National Renewable Energy Laboratory (NREL) Golden CO USA Electrical Engineering Department University of Colorado Denver CO USA Department of Electrical and Information Engineering University of L'Aquila L'Aquila Italy National Renewwable Energy Laboratory (NREL) Golden CO USA Department of Automatic Control Systems and Computer Engineering Technical University of Catalonia Barcelona Spain Department of Electrical and Computer Engineering University of Waterloo Waterloo ON Canada Institue of Computer Technology Vienna Technical University Vienna Austria Department of Electrical Engineering and Computer Science University of Wisconsin Milwaukee WI USA Sustainable Building Technologies Austrian Institue of Technology (AIT) Vienna Austria Department of Electronics Engineering Universidad Técnica Federico Santa María Valparaiso Chile Research Group on Renewable Electrical Energy Systems Department of Electrical Engineering Universitat Politécnica de Catalunya (UPC) Barcelona Spain Austrian Academy of Sciences Institute of Integraded Sensor Systems Wiener Neustadt Austria

The 20 papers in this second part of this special section are classified by energy sources (wind, photovoltaic, hydro, etc.), grid-related issues (islanding, synchronization, microgrid, and smart grid), and converters... 详细信息

关键词： Special issues and sections Smart grids Renewable energy resources Photovoltaic systems Power conversion Wind energy Hydroelectric power generation Power grids

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High-performance sensorless vector control of induction motor drives using artificial intelligent technique

High-performance sensorless vector control of induction moto...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Mokhtar Zerikat Abdelkader Mechernene Soufyane Chekroun Department of Electrical and Control Engineering Laboratory of Automatic and Systems Analysis ENSET of Oran Oran Algeria Department of Electrical Engineering University of Sciences and Technology Houari Boumediene Oran Algeria

This paper presents a sensorless speed observer method of an induction motor using an artificial intelligent technique in field-oriented control system. Speed and rotor flux are estimated from only measurable variables, the stator voltages and currents. The proposed estimation algorithm uses a deterministic state observer combined with an intelligent adaptive mechanism based on fuzzy logic, and using a knowledge base on human expertise. The introducing of fuzzy logic is applied to achieve high-performance, a low sensibility to parameter variations and external influences. The developed algorithm is robust and efficient, it also assures precise speed estimation, a good trajectory tracking with the different prescribed dynamics. In order to verify its performances test the behavior of the control algorithm, numerical simulations are achieved. The performances of the induction motor drive have been analyzed under steady state and transient conditions. The simulation results have shown a good estimate speed and flux and an excellent tracking performance of the proposed control system, and have demonstrated convincingly the usefulness of adaptive observer based on fuzzy logic in variable speed drives with high performance.

关键词： Observers Mathematical model Rotors Machine vector control Induction motor drives Torque

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Energy Efficient Building Climate control using Stochastic Model Predictive control and Weather Predictions

Energy Efficient Building Climate Control using Stochastic M...

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American control Conference

作者： Frauke Oldewurtel Alessandra Parisio Colin N. Jones Manfred Morari Dimitrios Gyalistras Markus Gwerder Vanessa Stauch Beat Lehmann Katharina Wirth Automatic Control Laboratory Department of Electrical Engineering Swiss Federal Institute of Technology in Zurich (ETHZ) Switzerland Department of Engineering Universita degli Studi del Sannio Benevento Italy Systems Ecology Group ETH Zurich Switzerland Siemens Building Technologies Zug Switzerland MeteoSwiss Zurich Switzerland Building Technologies Lab. EMPA Dubendorf Switzerland

ISBN: (纸本)9781424474264

One of the most critical challenges facing society today is climate change and thus the need to realize massive energy savings. Since buildings account for about 40percent of global final energy use, energy efficient building climate control can have an important contribution. In this paper we develop and analyze a Stochastic Model Predictive control (SMPC) strategy for building climate control that takes into account weather predictions to increase energy efficiency while respecting constraints resulting from desired occupant comfort. We investigate a bilinear model under stochastic uncertainty with probabilistic, time varying constraints. We report on the assessment of this control strategy in a large-scale simulation study where the control performance with different building variants and under different weather conditions is studied. For selected cases the SMPC approach is analyzed in detail and shown to significantly outperform current control practice.

关键词： Energy efficiency Stochastic processes Predictive models Predictive control Weather forecasting automatic control Uncertainty Mathematical model Temperature control Actuators

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Robust anti-windup against LTI uncertainty using frequency dependent IQCs

Robust anti-windup against LTI uncertainty using frequency d...

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SICE Annual Conference

作者： R. M. Morales W. P. Heath G. Li Control and Instrumentation Research Group Department of Engineering University of Leicester Leicester UK Control Systems Research Group University of Manchester Institute of Science and Technology Manchester UK Automatic Control Laboratory Department of Mechanical Engineering University of Bristol Bristol UK

This paper will present a study on the robustness of anti-windup systems where the plant uncertainty can be expressed by LTI norm-bounded operators. The treatment is constructed under the IQC framework of Megretski and Rantzer. Robustness of anti-windup systems against LTI uncertainty using frequency dependent IQCs are less conservative than those where plant uncertainty is addressed by static IQCs. They can however increase significantly the computational burden in the algorithms. The paper shows that sufficient conditions for robustness of anti-windup systems against LTI uncertainty can be, in some circumstances, greatly simplified. They can also be expressed in the frequency domain and interpreted graphically. The test is finally exploited for anti-windup tuning.

关键词： Robustness Uncertainty Frequency dependence Robust control automatic control control systems Heat engines Temperature control Sufficient conditions Actuators

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Active security system for an industrial robot based on artificial vision and fuzzy logic principles

Active security system for an industrial robot based on arti...

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ICINCO 2008 - 5th International Conference on Informatics in control, Automation and Robotics

作者： Fevery, B. Wyns, B. Boullart, L. Llata García, J.R. Torre Ferrero, C. Department of Electrical Energy Systems and Automation Ghent University Ghent Belgium Control Engineering Group Electronic Technology and Automatic Systems Department University of Cantabria Santander Spain

ISBN: (纸本)9789898111319

An active security system assures that interacting robots don't collide or that a robot operating independently doesn't hit any obstacle that is encountered in the robots workspace. In this paper, an active security system for a FANUC industrial robot is introduced. The active security problem where one robot needs to avoid a moving obstacle in its workspace is considered. An obstacle detection and localization mechanism based on stereoscopic vision methods was successfully developed. To connect the vision system, an operator's pc and the robot environment a real-time communication is set up over Ethernet using socket messaging. We used fuzzy logic for intelligent trajectory planning. A multitask oriented robot application in the KAREL programming language of FANUC Robotics was implemented and tested.

关键词： Fuzzy logic

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Annual business and news:: Beginning the 31st year of the Journal of Guidance, control, and Dynamics

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JOURNAL OF GUIDANCE control AND DYNAMICS 2008年第1期31卷 1-1页

作者： Schmidt, George T. Aeronautics and Astronautics Massachusetts Institute of Technology (MIT) AIAA Institute of Electrical and Electronics Engineers Russian Federation Academy of Navigation and Motion Control Department of Mechanical and Aerospace Engineering and Engineering Mechanics University of Missouri-Rolla(UMR) Lockheed Electronics Company Center for Space Research University of Texas Austin United States Wright Laboratory Eglin Air Force Base UMR AIAA Guidance Navigation and Control Technical Committee American Automatic Control Council Lockheed Martin Aeronautics Company Palmdale CA United States C4ISR and Unmanned Air Vehicle (UAV) Programs for Air Vehicle Sciences and Systems Accreditation Board Engineering and Technology Inc./Aeronautical National Technical Committee on Guidance Navigation and Control Department of Mechanical and Aerospace Engineering University at Buffalo State University of New York (SUNY) AIAA Technical Committee on GN and C Air Vehicles Directorate Air Force Research Laboratory (AFRL) Wright-Patterson Air Force Base Space Access and Hypersonic Vehicle Guidance and Control Group Control Science Center of Excellence AFRL AIAA Technical Committee on Guidance Navigation and Control Department of Mechanical and Aeronautical Engineering University of California (UC) Davis United States Boeing Company Modernized Flight Control System for the Apache Longbow AIAA Institute of Electrical and Electronics Engineers AHS Jet Propulsion Laboratory California Institute of Technology Boeing Company Flight Sciences and Advanced Design Group Guidance Navigation and Control (GN and C) Systems Engineer Distributed Space Systems NASA Goddard Space Flight Center (GSFC) AIAA GN and C Technical Committee Department of Aerospace Engineering and Engineering Mechanics University of Texas Austin United States Institute of Navigation American Astronautical Society AIAA Guidance Navigation (GN and C) and Control Technical Committee Department of Aerospace Engineering Iowa State University Iowa

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