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1st IFAC Conference on Modelling, Identification and control of Nonlinear systems, MICNON 2015

作者： Wang, Lei Astolfi, Daniele Su, Hongye Marconi, Lorenzo Isidori, Alberto State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China CASY - DEI University of Bologna Italy MINES ParisTech PSL Research University CAS Paris France Department of Computer Control and Management Engineering University of Rome la Sapienza Rome Italy

We address the problem of output stabilization for the class of nonlinear minimum-phase systems with a well-defined relative degree whose output is affected by measurement noise. In the proposed control structure the derivatives of the output are estimated by means of a new high-gain observer proposed in Astolfi and Marconi [2015], which, with respect to high-gain observers conventionally used in literature, has limited gain power. The advantage in using the proposed observer is in its implementation for systems with high relative degree and in the sensitivity to the sensor noise. Simulation results are presented to show the effectiveness of the proposed control structure.

关键词： Nonlinear systems

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Multi-Scale Wavelet Kernel Extreme Learning Machine for EEG Feature Classification

Multi-Scale Wavelet Kernel Extreme Learning Machine for EEG ...

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Qi Liu Xiao-guang Zhao Zeng-guang Hou Hong-guang Liu The State Key Laboratory of Management and Control for Complex Systems Institute of Automation CAS Institute of crime Chinese People's Public Security University

ISBN: (纸本)9781479987313

In this paper, the principle of the kernel extreme learning machine (ELM) is analyzed. Based on that, we introduce a kind of multi-scale wavelet kernel extreme learning machine classifier and apply it to electroencephalographic (EEG) signal feature classification. Experiments show that our classifier achieves excellent performance.

关键词： EEG classification ELM Multi-scale wavelet kernel Elm Ecosystem models Learning machines eeg feature Classifiers multi-scale Seeds wavelets Kernel

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Pose synchronization of rigid body networks with switching topologies

Pose synchronization of rigid body networks with switching t...

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第三十四届中国控制会议

作者： Juan Deng Wenjun Song Zhixin Liu John S.Baras Key Laboratory of Systems and Control Academy of Mathematics and Systems Science CAS Division of Optimization and Systems Theory KTH Royal Institute of Technology Electrical Engineering Department and the Institute for Systems Research University of Maryland College Park

ISBN: (纸本)9781467374439

Coordination control of multiple rigid bodies attracts much attention of researchers due to its wide applications. This paper presents the pose synchronization problem of the moving rigid bodies whose dynamics is described by the group SE(3).The case of bidirectional neighbor graphs with switching interconnection topologies is considered. We design a distributed control law based on relative rotation matrices and relative positions between the neighboring rigid bodies, and show that the SE(3)reaches pose synchronization if and only if the neighbor graphs are infinitely jointly connected, which relaxes the theoretical results in the existing literature.

关键词： SE(3),pose synchronization,coordination control,infinitely joint connectivity

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Open-System Dynamics of the Geometrical Reperesentation for a Qutrit

Open-System Dynamics of the Geometrical Reperesentation for ...

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第三十四届中国控制会议

作者： Shuming Cheng Lijun Liu Li Li Zairong Xi Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences University of Chinese Academy of Sciences Centre for Quantum Computation and Communication Technology (Australian Research Council) Centre for Quantum Dynamics Griffith University Key Laboratory of Quantum Information University of Science and Technology of China CAS

ISBN: (纸本)9781467374439

The qubit systems have been the central issue of quantum physics and quantum information processing, and various properties and applications concerning about qubits have been extensively discovered and verified experimentally. However,it is nontrivial to generalize the techniques and methods which effectively deal with the problems involving qubits system and is hard to verify their utility for higher dimensional system, for instance a qutrit. In this paper, we employ Gell-Mann basis to parameterize the density operator for three-level systems instead of using Pauli matrices to represent the qubit state. This generalization representation is used to exploit the rich geometric structures and abundant propeties of qutrits. We give the sufficient and necessary conditions for a 3 × 3 Hermitian operator to be positive semidefinite and investigate the dynamical evolution of the geometrical picture for qutrits when exposed to the depolarizing effects induced by the environment.

关键词： Qutrit,Gell-Mann basis,Dynamical evolution,Depolarizing

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Structure Analysis of Matrix Fraction Descriptions for LTI systems

Structure Analysis of Matrix Fraction Descriptions for LTI S...

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IEEE Annual Conference on Decision and control

作者： Biqiang Mu Han-Fu Chen Le Yi Wang George Yin Key Laboratory of Systems and Control of CAS Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 P. R. China Department of Electrical and Computer Engineering Wayne State University Detroit MI 48202 USA Department of Mathematics Wayne State University Detroit MI 48202 USA

ISBN: (纸本)9781479978878

This paper investigates representation of a multivariable linear time-invariant system by matrix fraction descriptions (MFD). The main theoretical results in our recent paper [1] have resolved several long-standing issues of MFD models, including uniqueness of MFD pairs {A(z) B(z)} for a given impulse response of the system, complete characterization of the orders of all possible MFDs of a given system, testing criteria for determining whether a matrix pair is an MFD of the system, and algorithms for deriving all MFD representations from certain Toeplitz matrices constructed from impulse responses. For real-time implementation, identification algorithms are introduced that estimate all MFDs of a given system from its input-output data. The results are then extended to cover ARMAX systems. This conference paper aims to reach a broader audience and stimulate potential applications of the methodology and algorithms by highlighting the main results, elaborating key ideas with more discussions, extending simulation studies, and including more examples.

关键词： Yttrium MIMO Testing Mathematical model Integrated circuit modeling Algorithm design and analysis

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Strong Consistency of Parameter Estimates for Purely Explosive Autoregressive Models with Exogenous Inputs

Strong Consistency of Parameter Estimates for Purely Explosi...

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第三十三届中国控制会议

作者： Taiyao Wang Bo Qi Key Laboratory of Systems and Control ISS Academy of Mathematics and Systems ScienceCAS University of Chinese Academy of Sciences National Center for Mathematics and Interdisciplinary Sciences CAS

ISBN: (纸本)9781479947249

Asymptotic properties and strong consistency in the analysis of recursive estimation for stochastic regression models are important and fundamental. However, almost all of the existing results concerning the strong consistency of the least-squares estimates are established for non-explosive autoregressive models with exogenous inputs under the persistent excitation *** this paper, we establish the strong consistency of least-squares parameter estimates for explosive autoregressive models with persistently exciting exogenous inputs.

关键词： Least-squares Estimates,Strong Consistency,ARX Models,Purely Explosive

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An object recognition approach based on structural feature for cluttered indoor scene

An object recognition approach based on structural feature f...

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IEEE International Conference on Networking, Sensing and control

作者： Wenbo Yuan Zhiqiang Cao Peng Zhao Min Tan Yuequan Yang State Key Laboratory of Management and Control for Complex Systems Institute of Automation CAS Beijing China College of Information Engineering Yangzhou University Yangzhou China

In this paper, aiming at the indoor scene under monitoring by visual sensor network (VSN), an object recognition approach based on structural feature is presented. Firstly, we regard the output of existing line segment detector LSD with proper parameters as the preliminary extraction result and it still will be further restored and split. Then, we give an inference model based on structural features of object including line segment ontology characteristics and relative relationship between the line segments. Finally, the objects are recognized with position information through inference. The effectiveness of the approach is verified, and the results show that our approach does not rely on segmentation and has robustness on partial defect and structural deformation to some extent.

关键词： Image segmentation Robot sensing systems Monitoring Image recognition

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Cooperative Output Regulation of a Class of Linear Multi-Agent systems

Cooperative Output Regulation of a Class of Linear Multi-Age...

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第三十二届中国控制会议

作者： Jingchao LOU Zairong XI Key Laboratory of Systems and Control AMSS CAS

ISBN: (纸本)9781479900305

In this note, we do something in the cooperative output regulation of linear multi-agent systems. The linear multi-agent systems which we consider is a class of leader-follower systems, only part of agents can access the exogenous signal. What we do is design a simple control law with a dynamic compensator to solve the cooperative output regulation problem. We consider two situations in designing control law, one is using full information of state, another is using part information.

关键词： linear multi-agent systems, cooperative control, output regulation dynamic compensator, full information, part information.

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Parameter Sensitivity Analysis for the Calvin Cycle by Use of An Algebraic-Equation Method

Parameter Sensitivity Analysis for the Calvin Cycle by Use o...

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第三十二届中国控制会议

作者： Yang Meng Jin Guo Yanlong Zhao Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceCAS

ISBN: (纸本)9781479900305

This paper takes a simplified model for example to investigate the parameter sensitivity of the Calvin cycle.A parameter sensitivity analysis method is proposed by Taylor expansion and multi-linear *** rationality of the method is discussed and the definition of sensitivity vector is introduced to describe the role of each parameter and an algorithm is proposed to study parameter sensitivity of a class of biochemical reactions described by differential *** such method,the sensitivity vector of the steady-state concentration of each metabolite in the Calvin cycle is obtained and the one of overall variables containing the interaction of parameters is also derived.

关键词： Calvin cycle multi-linear regression parameter sensitivity vector

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Convergence Analysis of the Long-range Deffuant-Weisbuch Dynamics

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IFAC Proceedings Volumes 2013年第20期46卷 141-146页

作者： Jiangbo Zhang Yiguang Hong The Key Laboratory of System and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences (CAS) Beijing 100190 The Key Laboratory of System and Control Academy of Mathematics and Systems Science and National Center for Mathematics and Interdisciplinary Sciences CAS Beijing 100190

In this paper we study the convergence behavior of the long-range Multi-choice Deffuant-Weisbuch (LMDW) model. Since the opinions may not separated in the LMDW opinion dynamics, we study a new concept, called merging time. Then we provide one expected upper bound of merging time for the LMDW model. Finally, we show the difference between the merging time and convergence time of the LMDW model.

关键词： Long-range Multi-choice Deffuant-Weisbuch model opinion dynamics multi-agent systems merging time

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