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作者： Konstantopoulos, George C. Alexandridis, Antonio T. Department of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom Department of Electrical and Computer Engineering University of Patras Rion26500 Greece

A model-based dynamic analysis of a variable-speed wind generator system consisting of an induction generator connected to the grid through a full power frequency converter is conducted. To this end, a nonlinear modeling of the entire system is used in a manner that permits a novel controller design with common structure for both the generator-and grid-side converters. The proposed controller, acting directly on the duty-ratio inputs of the converters, ensures the boundedness of the duty-ratio signals in the permitted range although its structure is independent from the system parameters and open to different control objectives. Therefore, maximum power point tracking and power factor correction are easily implemented. Furthermore, the controller is proven to guarantee stability of the whole system under field-or near-field-oriented conditions without needing any flux measurement or estimation. Hence, the main contribution established by this approach is that a rigorous stability analysis taking into account the generator, converters, dc link, and controller dynamics is presented on the basis of a complete system modeling and controller design approach. The theoretical analysis and controller effectiveness are confirmed via extended simulation results for a commercial size 2-MW induction generator operating under varied wind speed conditions and are further validated on a similar system with real-time results. © 2013 IEEE.

关键词： Nonlinear analysis

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Hybrid systems with memory: Modelling and stability analysis via generalized solutions 19

Hybrid systems with memory: Modelling and stability analysis...

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Liu, Jun Teel, Andrew R. Department of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom Center for Control Dynamical Systems and Computation Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States

ISBN: (纸本)9783902823625

Hybrid systems with memory are dynamical systems exhibiting both hybrid and delay phenomena. We present a general modelling framework for such systems using hybrid functional inclusions, whose generalized solutions are defined on hybrid time domains and evolve in the phase space of hybrid memory arcs equipped with the graphical convergence topology. We prove a general existence result based on some basic conditions on the data of hybrid systems. We further establish sufficient conditions for the stability analysis of hybrid systems with memory using Lyapunov-Razumikhin (L-R) functions. We demonstrate the stability results on a general nonlinear system with switching dynamics and state jumps. © IFAC.

关键词： System stability

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A Vehicular Positioning Enhancement with Connected Vehicle Assistance

A Vehicular Positioning Enhancement with Connected Vehicle A...

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IEEE Conference on Vehicular Technology (VTC)

作者： Xuting Duan Yunpeng Wang Daxin Tian Liang Sun David G. Michelson Victor C. M. Leung Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Nanjing China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems & Safety Control Beihang University Beijing China Department of Electrical and Computer Engineering The University of British Columbia Vancouver BC Canada

ISBN: (纸本)9781479980925

In this paper, we consider the problem of vehicular positioning enhancement with emerging connected vehicles (CV) technologies. In order to actually describe the scenario, the Interacting Multiple Model (IMM) filter is used for depicting varies of observation models. A CV-enhanced IMM filtering approach is proposed to locate a vehicle by data fusion from both coarse GPS data and the Doppler frequency shifts (DFS) measured from dedicated short-range communications (DSRC) radio signals. Simulation results state the effectiveness of the proposed approach.

关键词： Vehicles Global Positioning System TV Covariance matrices Frequency measurement Doppler effect Kalman filters

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Editorial tnnls special issues and editorial board changes

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IEEE Transactions on Neural Networks and Learning systems 2014年第1期25卷 1-8页

作者： Liu, Derong State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Electrical and Computer Engineering University of Illinois at Chicago Chicago IL 60607 United States

An introduction is presented in which the editor discusses the theme of the periodical based on learning in nonstationary and evolving environments along with changes in the editorial board and also offers brief profi... 详细信息

关键词： LEARNING EDITORIAL boards (Publishing)

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Moment Matching Based Model Reduction for LPV State-Space Models

Moment Matching Based Model Reduction for LPV State-Space Mo...

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IEEE Annual Conference on Decision and control

作者： Mert Bastug Mihaly Petreczky Roland Toth Rafael Wisniewski John Leth Denis Efimov Department of Electronic Systems Automation and Control Aalborg University 9220 Aalborg Denmark Department of Computer Science and Automatic Control (UR Informatique et Automatique) Ecole des Mines de Douai 59508 Douai France Department of Electrical Engineering Control Systems Eindhoven University of Technology P.O. Box 513 5600 MB Eindhoven The Netherlands Non-A INRIA Lille - Nord Europe Parc Scientifique de la Haute Borne 40 avenue Halley Bat. A Park Plaza 59650 Villeneuve d'Ascq France

ISBN: (纸本)9781479978878

We present a novel algorithm for reducing the state dimension, i.e., order, of linear parameter varying (LPV) discrete-time state-space (SS) models with affine dependence on the scheduling variable. The input-output behavior of the reduced order model approximates that of the original model. In fact, for input and scheduling sequences of a certain length, the input-output behaviors of the reduced and original model coincide. The proposed method can also be interpreted as a reachability and observability reduction (minimization) procedure for LPV-SS representations with affine dependence.

关键词： Reduced order model original model INPUT-OUTPUT Affine In-law Accessibility Moment of force

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Derong Liu [People in control]

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IEEE control systems 2014年第2期34卷 26-27页

作者： Liu, Derong State Key Laboratory of Management and Control for Complex Systems Department of Electrical and Computer Engineering University of Illinois at Chicago United States Institute of Automation Chinese Academy of Sciences 95 Zhongguancun East Road Beijing100190 China

关键词： Laboratories

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Embedding of nonlinear systems in a linear parameter-varying representation 19

Embedding of nonlinear systems in a linear parameter-varying...

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Abbas, Hossam S. Tóth, Roland Petreczky, Mihály Meskin, Nader Mohammadpour, Javad Department of Electrical Engineering College of Engineering Qatar University PO Box 2713 Doha Qatar Control Systems Group Eindhoven University of Technology P.O. Box 513 Eindhoven5600 MB Netherlands Department of Computer Science and Automatic Control Ecole des Mines de Douai Douai59508 France Intelligent Control Systems Lab. College of Engineering University of Georgia AthensGA30602 United States Electrical Engineering Department Faculty of Engineering Assiut University Assiut Egypt

ISBN: (纸本)9783902823625

This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are originally defined by control affine state-space representations. The conversion approach results in LPV state-space representations in the observable canonical form. Based on the relative degree concept of NL systems, the states of a given NL representation are transformed to new coordinates that provide its normal form. In the SISO case, all nonlinearities of the original system are embedded in one NL function which is factorized to construct the LPV form. An algorithms is proposed for this purpose. The resulting transformation yields an LPV model where the scheduling parameter depends on the derivatives of the inputs and outputs of the system. In addition, if the states of the NL model can be measured or estimated, then the procedure can be modified to provide LPV models scheduled by these states. Examples are included for illustration. © IFAC.

关键词： State space methods

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On the Linear Constrained Regulation Problem for Continuous-Time systems

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IFAC Proceedings Volumes 2014年第3期47卷 4004-4009页

作者： George Bitsoris Sorin Olaru Marina Vassilaki Control Systems Laboratory Department of Electrical and Computer Engineering University of Patras 26500 Patrs Greece SUPELEC Systems Science (E3S) Automatic Control Department Gif-sur-Yvette 91190 France ASPETE Department of Electrical Engineering Education N. Heraklion 14121 Athens Greece

In this paper the regulation problem for linear continuous-time systems by linear state-feedback under linear state and/or control constraints is investigated. This problem, named the Linear Constrained Regulation Problem, has been extensively studied when the regulation concerns an equilibrium situated in the interior of the domain of admissible states. In this paper the case when the desired equilibrium state is on the boundary of the domain of admissible states is considered. The tools used for the analysis and design of this kind of control problems are the conditions of positive invariance of polyhedral sets, Lyapunov-like polyhedral functions, LMI methods and eigenstructure assignment techniques.

关键词： Constrained control polyedral sets positive invariance stability linear systems

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Experimental Design for System Identification of Boolean control Networks in Biology

Experimental Design for System Identification of Boolean Con...

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IEEE Annual Conference on Decision and control

作者： Alberto Giovanni Busetto John Lygeros Intelligent and Predictive Systems Laboratory Department of Electrical and Computer Engineering University of California Santa Barbara California USA Automatic Control Laboratory ETH Zurich Zurich Switzlerand

ISBN: (纸本)9781467360890

This study is primarily motivated by biological applications and focuses on the identification of Boolean networks from scarce and noisy data. We consider two Bayesian experimental design scenarios: selection of the observations under a budget, and input design. The goal is to maximize the mutual information between models and data, that is the ultimate statistical upper bound on the identifiability of a system from empirical data. First, we introduce a method to select which components of the state variable to measure under a budget constraint, and at which time points. Our greedy approach takes advantage of the submodularity of the mutual information, and hence requires only a polynomial number of evaluations of the objective to achieve near-optimal designs. Second, we consider the computationally harder task of designing sequences of input interventions, and propose a likelihood-free approximation method. Exact and approximate design solutions are verified with predictive models of genetic regulatory interaction networks in embryonic development.

关键词： System identification State variable Biological Science Disciplines biology Budgets Boolean algebra Mathematic Identifiability noisy data Approximation method Prediction models Embryonic Development Input design

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Efficient control synthesis for augmented finite transition systems with an application to switching protocols

Efficient control synthesis for augmented finite transition ...

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2014 American control Conference, ACC 2014

作者： Sun, Fei Ozay, Necmiye Wolff, Eric M. Liu, Jun Murray, Richard M. Information Security Center Beijing University of Posts and Telecommunications China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109 United States Department of Control and Dynamical Systems California Institute of Technology Pasadena CA 91125 United States Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD United Kingdom

ISBN: (纸本)9781479932726

Augmented finite transition systems generalize nondeterministic transition systems with additional liveness conditions. We propose efficient algorithms for synthesizing control protocols for augmented finite transition systems to satisfy high-level specifications expressed in a fragment of linear temporal logic (LTL). We then use these algorithms within a framework for switching protocol synthesis for discrete-time dynamical systems, where augmented finite transition systems are used for abstracting the underlying dynamics. We introduce a notion of minimality for abstractions of certain fidelity and show that such minimal abstractions can be exactly computed for switched affine systems. Additionally, based on this framework, we present a procedure for computing digitally implementable switching protocols for continuous-time systems. The effectiveness of the proposed framework is illustrated through two examples of temperature control for buildings. © 2014 American automatic control Council.

关键词： Continuous time systems

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