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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Juntao Li Yingmin Jia Junping Du Fashan Yu the Department of Systems and Control Beihang University (BUAA) the Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and TechnologyBeijing University of Posts and Telecommunications the School of Electrical Engineering and Automation Henan Polytechnic University

This paper proposes a new type of regularization in the context of multi-class support vector machine for simultaneous classification and gene *** combining the huberized hinge loss function and the elastic net penalty,the proposed support vector machine can do automatic gene selection and further encourage a grouping effect in the process of building classifiers,thus leading a sparse multi-classifiers with enhanced ***,a reasonable correlation between the two regularization parameters is proposed and an efficient solution path algorithm is *** of microarray classification are performed on the leukaemia data set to verify the obtained results.

关键词： Gene selection grouping effect microarray classification solution path support vector machine(SVM)

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Frequency-domain approach to robust iterative learning controller design for uncertain time-delay systems

Frequency-domain approach to robust iterative learning contr...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Deyuan Meng Yingmin Jia Junping Du Fashan Yu the Department of Systems and Control Beihang University (BUAA) the Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and TechnologyBeijing University of Posts and Telecommunications the School of Electrical Engineering and Automation Henan Polytechnic University

This paper deals with the robust iterative learning control(ILC) for time-delay systems(TDS) with both model and delay *** ILC algorithm with anticipation in time is considered,and a frequency-domain approach to its design is *** shows that a necessary and sufficient convergence condition can be provided in terms of three design parameters:the lead time,the learning gain,and the performance weighting *** particular,if the lead time is chosen as just the delay estimate,then the convergence condition is derived independent of the delay and the *** this case,with the selection of the performance weighting function,the perfect tracking can be achieved,or the least upper bound of the L2-norm of the limit tracking error can be guaranteed less than the least upper bound of the L2-norm of the initial tracking error.

关键词： Iterative learning control time-delay systems frequency-domain approach anticipation in time

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H∞-based design approach to discrete-time learning control systems with iteration-varying disturbances

H∞-based design approach to discrete-time learning control ...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

This paper is concerned with the iterative learning control(ILC) problem for discrete-time systems with iterationvarying *** the so-called super-vector approach to ILC,the discrete domain bounded real lemma is employed to develop a sufficient condition ensuring both the stability and the desired H∞ performance of the ILC *** is shown that this sufficient condition can be presented in terms of linear matrix inequalities(LMIs),which can also determine the learning gain matrix.A numerical simulation example is included to validate the theoretical results.

关键词： Iterative learning control discrete-time systems iteration-varying disturbances H_∞ performance linear matrix inequality

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Learning approaches to the Witsenhausen counterexample from a view of potential games

Learning approaches to the Witsenhausen counterexample from ...

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IEEE Conference on Decision and control

作者： Na Li Jason R. Marden Jeff S. Shamma Department of Control and Dynamical Systems California Institute of Technology Pasadena CA USA Social and Informational Sciences Laboratory California Institute of Technology Pasadena CA USA School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

ISBN: (纸本)9781424438716

Since Witsenhausen put forward his remarkable counterexample in 1968, there have been many attempts to develop efficient methods for solving this non-convex functional optimization problem. However there are few methods designed from game theoretic perspectives. In this paper, after discretizing the Witsenhausen counterexample and re-writing the formulation in analytical expressions, we use fading memory JSFP with inertia, one learning approach in games, to search for better controllers from a view of potential games. We achieve a better solution than the previously known best one. Moreover, we show that the learning approaches are simple and automated and they are easy to extend for solving general functional optimization problems.

关键词： Optical wavelength conversion Optimal control Cost function Random variables Optimization methods Design methodology Game theory Fading automatic control control systems

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Distributed H∞ consensus control for networks of multiple agents with linear coupling dynamics

Distributed H∞ consensus control for networks of multiple a...

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SICE Annual Conference

作者： Yang Liu Yingmin Jia Junping Du Fashan Yu Department of Systems and Control Beihang University Beijing China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo Henan China

This paper is devoted to the consensus control for a network of autonomous agents with high-dimension linear coupling dynamics and subject to external disturbances. By transforming the consensus control problem into an H infin control problem, we propose a distributed state feedback protocol, and obtain conditions in terms of linear matrix inequalities (LMIs) to ensure the consensus with a prescribed H infin performance level for networks with zero and nonzero communication delays, respectively. Furthermore, the undetermined feedback matrix of the proposed protocol is also solved. A numerical example is included to validate the theoretical results.

关键词： control systems Communication system control Protocols Multiagent systems Vehicle dynamics automatic control Telecommunication control Electronic mail Linear feedback control systems State feedback

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Adaptive multi-class support vector machine for microarray classification and gene selection

Adaptive multi-class support vector machine for microarray c...

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SICE Annual Conference

作者： Juntao Li Yingmin Jia Junping Du Fashan Yu Department of Systems and Control Beihang University Beijing China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo Henan China

This paper proposes an adaptive multi-class support vector machine for simultaneous microarray classification and gene selection. By evaluating the gene ranking significance, the adaptive multi-class support vector machine is shown to encourage an adaptive grouping effect in the process of building classifiers, thus leading a sparse multi-classifiers with enhanced interpretability. Based on a reasonable correlation between the two regularization parameters, an efficient solution path algorithm is developed for solving the proposed support vector machine. Experiments performed on the leukaemia data set are provided to verify the obtained results.

关键词： Support vector machines Support vector machine classification Electronic mail Programmable control Adaptive control Gene expression Learning systems automatic control control systems Telecommunication control

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MABEL, A New Robotic Bipedal Walker and Runner

MABEL, A New Robotic Bipedal Walker and Runner

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2009 American control Conference (ACC 2009)

作者： J.W. Grizzle Jonathan Hurst Benjamin Morris Hae-Won Park Koushil Sreenath Control Systems Laboratory Electrical Engineering and Computer Science Department University of Michigan Ann Arbor MI 48109-2122 USA Mechanical Engineering 204 Rogers Hall Oregon State University Corvallis OR 97331 USA Eaton Innovation Center 26201 Northwestern Highway Southfield MI 48076 USA Mechanical Engineering Department University of Michigan Ann Arbor MI 48109-2125 USA

ISBN: (纸本)9781424445233

This paper introduces MABEL, a new platform for the study of bipedal locomotion in robots. One of the purposes of building the mechanism is to explore a novel powertrain design that incorporates compliance, with the objective of improving the power efficiency of the robot, both in steady state operation and in responding to disturbances. A second purpose is to inspire the development of new feedback control algorithms for running on level surfaces and walking on rough terrain. A third motivation for building the robot is science and technology outreach;indeed, it is already included in tours when K-through-12 students visit the College of engineering at the University of Michigan. MABEL is currently walking at 1.1 m/s on a level surface, and a related monopod at Carnegie Mellon is hopping well, establishing that the testbed has the potential to realize its many objectives.

关键词： Alfven surface Robot stability operations runners walking dynamic efficiency Walkers colleges Rough terrain Buildings construction robot

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Global automata: A new approach on modelling industrial systems

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International Journal of Industrial and systems engineering 2008年第4期3卷 383-406页

作者： Deligiannis, Vasileios Manesis, Stamatis Lygeros, John Systems and Measurement Laboratory Department of Electrical and Computer Engineering University of Patras Rion-Patras 26500 Greece ETH Zurich Automatic Control Laboratory Physikstrasse 3 Zurich 8092 Switzerland

This paper introduces Global Automata as a new approach on modelling contemporary industrial systems. Global automata are based on automata philosophy and, as their name reveals, they constitute a super-set of existing automata types. Their implementation field is, therefore, wider in comparison with other available types. Their main characteristic is that they are especially oriented for industrial use. As regards to model architecture, they introduce new formulation parameters diversifying from conventional types, while they keep some common basic features. A formal definition of global automata is given as also two useful tools for system modelling, which are state aggregation and automata composition. Their use is illustrated with two representative industrial examples. © 2008, Inderscience Publishers.

关键词： Industrial engineering

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A Notion of Stochastic Input-to-State Stability and Its Application to Stability of Cascaded Stochastic Nonlinear systems

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Acta Mathematicae Applicatae Sinica 2008年第1期24卷 141-156页

作者： Shu-jun Liu Ji-feng Zhang Zhong-ping Jiang Department of Mathematics Southeast University Nanjing 210096 China Key Laboratory of Systems and Control Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100080 China Department of Electrical and Computer Engineering Polytechnic University 5 Metrotech Center Brooklyfl N.Y. 11201 USA

In this paper, the property of practical input-to-state stability and its application to stability of cascaded nonlinear systems are investigated in the stochastic framework. Firstly, the notion of （practical） stochastic input-to-state stability with respect to a stochastic input is introduced, and then by the method of changing supply functions, （a） an （practical） SISS-Lyapunov function for the overall system is obtained from the corresponding Lyapunov functions for cascaded （practical） SISS subsystems.

关键词： Stochastic nonlinear systems Stochastic input-to-state stability （SISS） SISS-Lyapunov function

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H optimal signal predictive quantization in FBs

H optimal signal predictive quantization in FBs

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2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP

作者： Li, Shenpeng Zhang, Jingxin Chai, Li Department of Electrical and Computer Systems Engineering Monash University Clayton VIC 3800 Australia Department of Automatic Control Wuhan University of Science and Technology China

ISBN: (纸本)1424414849

This paper is concerned with signal predictive subband quantization in oversampled filter banks. It uses the analysis tools of robust filtering and control to obtain a worst case power spectral analysis of the prediction error system. The analysis removes the unrealistic assumptions on the quantization noises in the present literature and leads to the definition of H ∞ optimal signal predictor. Based on this analysis, an LMI optimization based method is obtained to design the H∞ optimal signal predictor with guaranteed inverse stability. Simulation results are presented to show the advantages of the H∞ optimal signal predictor over the conventional signal predictor. ©2008 IEEE.

关键词： Linear matrix inequalities

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