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作者： Yang, X. Huang, J. Applied Control and Computing Laboratory Department of Mechanical and Automation Engineering Chinese University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9783902661937

The global robust output regulation problem for nonlinear plants subject to nonlinear exosystems has been a challenging problem and has not been well addressed. The main difficulty lies in finding a suitable internal model. In this paper, we first propose a new class of internal models which is guaranteed to exist under the generalized immersion condition [2]. An advantage of this internal model is that it is zero input globally asymptotically stable. This fact will facilitate the global stabilization of the augmented system associated with the given plant and the internal model. Then we will further utilize this class of internal models to solve the global robust output regulation problem for output feedback systems with a nonlinear exosystem. © 2011 IFAC.

关键词： Internal model design Nonlinear exoystem Output regulation

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Global robust output regulation for a class of multivariable systems and its application to a motor drive system

Global robust output regulation for a class of multivariable...

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作者： Ping, Zhaowu Huang, Jie Applied Control and Computing Laboratory Department of Mechanical and Automation Engineering Chinese University of Hong Kong Shatin N. T. Hong Kong

ISBN: (纸本)9781457700804

In this paper, we study the global robust output regulation problem for a class of multivariable nonlinear systems. The problem is first converted into a stabilization problem of an augmented system composed of the original plant and an internal model. The augmented system is a two-input system containing both dynamic uncertainty and time-varying static uncertainty. By decomposing the two-input control problem into two single-input control problems, we can solve the problem via a recursive approach utilizing the changing supply function technique. Finally, the theoretical result is applied to the speed tracking control and load torque disturbance rejection problem of a surface-mounted PM synchronous motor. © 2011 AACC American Automatic control Council.

关键词： Disturbance rejection

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Global Robust Output Regulation of Nonlinear Systems subject to a Nonlinear Exosystem

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IFAC Proceedings Volumes 2011年第1期44卷 1368-1373页

作者： X. Yang J. Huang Applied Control and Computing Laboratory Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong

Abstract The global robust output regulation problem for nonlinear plants subject to nonlinear exosystems has been a challenging problem and has not been well addressed. The main difficulty lies in finding a suitable internal model. In this paper, we first propose a new class of internal models which is guaranteed to exist under the generalized immersion condition [2]. An advantage of this internal model is that it is zero input globally asymptotically stable. This fact will facilitate the global stabilization of the augmented system associated with the given plant and the internal model. Then we will further utilize this class of internal models to solve the global robust output regulation problem for output feedback systems with a nonlinear exosystem.

关键词： Output regulation Nonlinear exoystem Internal model design

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Global robust output regulation for a class of multivariable systems and its application to a motor drive system

Global robust output regulation for a class of multivariable...

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2011 American control Conference (ACC)

作者： Zhaowu Ping Jie Huang Applied Control and Computing Laboratory Department of Mechanical and Automation Engineering Chinese University of Hong Kong Sha Tin Hong Kong China

关键词： Robustness Synchronous motors Mathematical model State feedback Equations Trajectory Uncertainty

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Data decomposition in biomedical e-Science applications

Data decomposition in biomedical e-Science applications

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7th IEEE International Conference on e-Science Workshops, eScienceW 201

作者： Mohammed, Yassene Shahand, Shayan Korkhov, Vladimir Luyf, Angela C.M. Van Schaik, Barbera D.C. Caan, Matthan W.A. Van Kampen, Antoine H.C. Palmblad, Magnus Olabarriaga, Silvia D. Bioinformatics Laboratory Department of Clinical Epidemiology Biostatistics and Bioinformatics University of Amsterdam Netherlands Biomolecular Mass Spectrometry Unit Department of Parasitology Leiden University Medical Center Netherlands Regional Computing Center for Lower Saxony and L3S University of Hannover Germany Faculty of Applied Math and Control Processes St. Petersburg State University Russia Department of Radiology AMC University of Amsterdam Netherlands Biosystems Data Analysis Swammerdam Institute for Life Sciences University of Amsterdam 1098 XH Amsterdam Netherlands

ISBN: (纸本)9780769545981

As the focus of e-Science is moving toward the forth paradigm and data intensive science, data access remains dependent on the architecture of the used e-Science infrastructure. Such architecture is in general job-driven, i.e., a (grid) job is a sequence of commands that run on the same worker node. Making use of the infrastructure involves having a parallelized application. This is done foremost by data decomposition. In general practice of parallel programming, data decomposition depends on the programmer's experience and knowledge about the used data and the algorithm/application. On the other hand, data mining scientists have an established foundation for data decomposition, automatic decomposition methods are already in use, methodologies and patterns are defined. Our experience in porting biomedical applications to the Dutch e-Science infrastructure shows that the used data decomposition to gain parallelism fit to some degree a subgroup of the data mining decomposition patterns, i.e., object set decomposition. In this paper we discuss porting three biomedical packages to a grid computing environment, two for medical imaging and one for DNA sequencing. We show how the data access of the applications was reengineered around the executables to make use of the parallel capacity of e-Science infrastructure. © 2011 IEEE.

关键词： Grid computing

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Global robust output regulation for nonlinear systems with iISS inverse dynamics

Global robust output regulation for nonlinear systems with i...

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IEEE International Conference on Automation and Logistics

作者： Xu, Dabo Huang, Jie Applied Control and Computing Laboratory Department of Mechanical and Automation Engineering Chinese University of Hong Kong Shatin N.T. Hong Kong

ISBN: (纸本)9781424483754

This paper develops an approach to dealing with the global robust output regulation problem for a class of nonlinear systems with integral input-to-state stable (iISS) inverse dynamics by using output feedback control. As iISS condition is strictly weaker than ISS condition, the result of this paper applies to a larger class of nonlinear systems. © 2010 IEEE.

关键词： Stabilization

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Output regulation of time-varying nonlinear systems

Output regulation of time-varying nonlinear systems

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作者： Yang, Xi Huang, Jie Applied Control and Computing Laboratory Department of Mechanical and Automation Engineering Chinese University of Hong Kong Shatin NT Hong Kong

ISBN: (纸本)9787894631046

This paper considers the robust output regulation problem for nonlinear time-varying systems with a time-varying exosystem. A framework for converting the problem into a stabilization problem of an augmented system is established. The problem is solved for a class of time-varying output feedback systems with a time-varying exosystem.

关键词： Time varying systems

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Data Decomposition in Biomedical e-Science Applications

Data Decomposition in Biomedical e-Science Applications

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IEEE International Conference on E-Science Workshops

作者： Yassene Mohammed Shayan Shahand Vladimir Korkhov Angela C.M. Luyf Barbera D.C. van Schaik Matthan W.A. Caan Antoine H.C. van Kampen Magnus Palmblad Silvia D. Olabarriaga Biomolecular Mass Spectrometry Unit Department of Parasitology Leiden University Medical Center Netherlands Regional Computing Center of Lower Saxony and L3S University of Hannover Germany Bioinformatics Laboratory Department of Clinical Epidemiology Biostatistics and Bioinformatics AMC University of Amsterdam Netherlands Faculty of Applied Math and Control Processes Saint Petersburg State University Russia Department of Radiology AMC University of Amsterdam Netherlands Biosystems Data Analysis Swammerdam Institute for Life Sciences University of Amsterdam Amsterdam Netherlands

关键词： Diffusion tensor imaging Educational institutions Data mining Parallel processing Biomedical imaging Pipelines

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Global robust output regulation for nonlinear systems with iISS inverse dynamics

Global robust output regulation for nonlinear systems with i...

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IEEE International Conference on Automation and Logistics

作者： Dabo Xu Jie Huang Applied Control and Computing Laboratory Department of Mechanical and Automation Engineering Chinese University of Hong Kong New Territories Hong Kong China

关键词： Robustness Trajectory Mathematical model Output feedback Equations Radio frequency Nonlinear systems

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A Framework for Nonlinear Output Regulation for Time-varying Uncertain Systems

A Framework for Nonlinear Output Regulation for Time-varying...

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2010 49th IEEE Conference on Decision and control

作者： Xi Yang Jie Huang Applied Control and Computing Laboratory Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Shatin N.T. Hong Kong

ISBN: (纸本)9781424477456

Recently, the global robust output regulation problem for nonlinear time-varying systems is considered in [14] under the assumption that the exosystem is exactly known. This paper further considers the case where the time-varying exosystem is unknown. Conditions are given under which the problem can be converted into an adaptive stabilization problem of an augmented time-varying nonlinear system. The problem is solved for a class of time-varying output feedback systems with a time-varying uncertain exosystem.

关键词： Nonlinear output regulation Time-varying systems Adaptive control

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