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2010第六届全国多智能体系统与控制学术年会

作者： Hu Jiangping Hong Yiguang Hu Xiaoming School of Automation Engineering University of Electronic Science and Technology of China 611731 Che Key Lab of Systems and Control Institute of Systems ScienceChinese Academy of SciencesBeijing 1001 0ptimization and Systems Theory and ACCESS Linnaeus Center Royal Institute of TechnologySE-100 44 S

Collaborative signal processing and sensor deployment have been among the most important research tasks in target tracking using networked *** this paper,a convergent nonlinear filter is constructed to track a target using mobile nonlinear scalar range *** robust formation control is proposed for the mobile sensor network to achieve a desired deployment to guarantee the nonlinear convergent ***,a numerical example is given to illustrate the proposed tracking algorithm.

关键词： Target tracking convergent nonlinear observer-based filter formation control mobile sensors

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Local Stability Analysis of Feedback Linearizing Schemes for a Class of Uncertain Nonlinear Systems *

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IFAC Proceedings Volumes 2010年第14期43卷 1394-1399页

作者： E.R. Rohr L.F.A. Pereira D.F. Coutinho School of Electrical Engineering and Computer Science University of Newcastle University Drive Callaghan NSW 2308 Australia Electrical Engineering Department Universidade Federal do Rio Grande do Sul Av. Osvaldo Aranha 103 Porto Alegre - RS - Brazil Group of Automation and Control Systems PUCRS Av. Ipiranga 6681 90619-900 Porto Alegre Brazil

This work presents a (numerical) technique to the local stability analysis of feedback linearizing control schemes for a class of uncertain nonlinear systems. A nonlinear decomposition of vector functions is applied to transform the Lyapunov stability conditions into a set of state-and parameter-dependent LMI (linear matrix inequality) constraints, which are numerically solved in a finite set of points. The proposed method can deal with a large class of nonlinear systems as well as very complex Lyapunov function candidates. In addition, a maximized level set of the Lyapunov function is proposed as an estimate of the system stability region.

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Delay-dependent conditions for monotonic convergence of uncertain ILC systems: An LMI approach

Delay-dependent conditions for monotonic convergence of unce...

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IEEE Conference on Decision and control

作者： Deyuan Meng Yingmin Jia Junping Du Fashan Yu Seventh Research Division the 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

ISBN: (纸本)9781424477456

This paper deals with the iterative learning control (ILC) problem for uncertain time-delay systems (TDS). In order to ensure monotonic convergence of the ILC process, a sufficient condition is developed using an H ∞ -based framework. It shows that under this framework, the convergence condition is enabled to be delay-dependent and have a formulation in terms of linear matrix inequalities (LMIs). Moreover, formulas for the updating law design can be derived by directly solving LMIs. A numerical example is provided to verify that the delay-dependent condition in LMI forms is effective in producing monotonically convergent ILC algorithms.

关键词： Convergence Symmetric matrices Robustness Delay Uncertainty Performance analysis Linear matrix inequalities

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Non-Fragile control for Trajectory Tracking of Nonholonomic Mobile Robots

Non-Fragile Control for Trajectory Tracking of Nonholonomic ...

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American control Conference

作者： Na Ni Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781424474264

This paper is devoted to the non-fragile controller design for the trajectory tracking of nonholonomic mobile robots. Using non-linear state feedback and proper coordinate transformation, the model of nonholonomic mobile robots is exactly linearized. Based on which, the non-fragile controller is designed by employing the linear matrix inequality (LMI) approach. Simulation examples are included to illustrate the effectiveness of the proposed controller.

关键词： Trajectory Mobile robots control systems Tracking Robot kinematics Orbital robotics State feedback Error correction Sliding mode control Laboratories

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Model Matching control for MIMO Systems with Multiple Time Delays and Its Applications in Adaptive Scheme

Model Matching Control for MIMO Systems with Multiple Time D...

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American control Conference

作者： Haixia Su Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781424474264

This paper considers the model matching problem of multiple-input multiple-output (MIMO) systems with multiple time delays. The reference model is chosen to be the diagonal delay transfer function matrix. A controller is designed for nominal systems. Furthermore, an adaptive control scheme is proposed for uncertain systems with parameter variation. The resulting scheme can guarantee the global stability of the closed-loop systems and the convergence of the tracking errors. A simulation example is included to illustrate the proposed scheme.

关键词： control system synthesis MIMO Delay effects Programmable control Adaptive control Transfer functions control systems Uncertain systems Stability Convergence

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L_(2)-L_(infinity) Filter Design for Neutral Stochastic Time-Delay Systems

L_(2)-L_(infinity) Filter Design for Neutral Stochastic Time...

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2010 49th IEEE Conference on Decision and control

作者： Lin Li Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781424477456

This paper is concerned with the problem of L_(2)-L_(infinity) filtering for a class of neutral stochastic systems with both discrete and distributed time-varying delays. The purpose is focusd on the design of a full order filter such that the resulting filtering error system is stochastically asymptotically stable in the mean square with a prescribed L_(2)-L_(infinity) disturbance attenuation level satisfied. By employing Lyapunov functional and stochastic stability theory, a delay-dependent sufficient condition for the existence of such a filter is obtained in terms of linear matrix inequalities (LMIs). The desired filter can be obtained by solving two LMIs.

关键词： Stochastic delay systems Filters mean square filter design stochastic systems error system stability theory Delay systems Filtration

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A New Resampling Algorithm for Generic Particle Filters

A New Resampling Algorithm for Generic Particle Filters

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American control Conference

作者： X. Fu Y. Jia J. Du F. Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781424474264

This paper is devoted to the resampling problem of particle filters. We firstly demonstrate the performance of classical Resampling algorithm (also called as systematic resampling algorithm) using a novel metaphor, through which the existing defects of Resampling algorithm is vividly reflected simultaneously. In order to avoid these defects, the exquisite resampling (ER) algorithm is induced which involves some exquisite actions such as comparing the weights by stages and generating the new particles based on quasi-Monte Carlo method. Simulations indicate that the proposed ER algorithm can reduce the sample impoverishment effectively and improve the accuracy of estimation evidently, which confirm that ER algorithm is a competitive alternative to Resampling algorithm.

关键词： resampling algorithm Particle filters

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Observer-Based L_(2)-L_(infinity) control for a Class of Stochastic Systems with Time-Varying Delay

Observer-Based L_(2)-L_(infinity) Control for a Class of Sto...

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2010 49th IEEE Conference on Decision and control

ISBN: (纸本)9781424477456

This paper is devoted to the problem of L_(2)-L_(infinity) control for a class of stochastic time-delay systems via observer-based feedback control. The considered observer contains no time-delay. The purpose is to design an observer-based feedback stabilizing controller such that the augmented closed-loop system is stochastically asymptotically stable with a prescribed L_(2)-L_(infinity) performance satisfied. Based on the stochastic stability theory, a delay-dependent sufficient condition is derived in terms of linear matrix inequalities (LMIs). The observer and controller design method is proposed, while the corresponding explicit expression for the observer and controller gain matrices is also given. Finally, numerical examples and simulation results are included to illustrate the effectiveness of the proposed results.

关键词： stochastic systems system clock time varying stability theory Stochastic delay systems controller gain Closed loop systems

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Robust stabilization of uncertain kinematic systems in nonholonomic mobile robots with one trailer

Robust stabilization of uncertain kinematic systems in nonho...

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Chinese control Conference (CCC)

作者： Chaoli Wang Fang Yang Yunhui Liu Zhenying Liang Control Science and Engineering Department University of Shanghai for Science and Technology (USST) Shanghai P. R. China Business School Ningbo University of Technology Shanghai P. R. China Dept. of Mechanical and Automation Engineering The Chinese University of Hong Kong Satin NT P. R. China Business School Shandong University of Technology Shanghai P. R. China

Based on visual servoing feedback, this paper provides a novel uncertain model of the kinematic systems in nonholonomic mobile robots with one trailer with uncalibrated visual servoing parameters. The strongly nonlinear disturbances and drift terms in its uncertain chained form of this model fails to meet the so called triangularity condition. The methods available in the literatures are not suitable to be used to investigate its stabilizing problem of the system. In order to deal with this difficulty, the special structure of the systems is exploited to design the stabilizing controller, which is divided into three phases. In the first phase, a newly state transformation is exploited to propose a stabilizing controller to make most of the states of the system tends to zero only excepts one state. In the second phase, the left state is stabilized and the other states remain little change by designing another controller. In the final phase, the control inputs can be set zero. The states remain constant. Finally, the simulation is presented to illustrate the stabilizing performance of the developed control algorithm.

关键词： Mobile robots Kinematics Cameras Robot vision systems Visualization Robustness Polynomials

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Analysis of Two Robust Learning control Schemes in the Presence of Random Iteration-Varying Noise

Analysis of Two Robust Learning Control Schemes in the Prese...

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American control Conference

作者： Deyuan Meng Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781424474264

This paper deals with the design problem of robust iterative learning control (ILC), in the presence of noise that is varying randomly from iteration to iteration. Two ILC schemes are considered: one adopts the previous iteration tracking error (PITE) and the other adopts the current iteration tracking error (CITE), in the updating law. For both schemes, the convergence results are obtained by using a frequency-domain approach, and a comparison between them is presented from the viewpoints of the convergence condition, robustness against plant uncertainty, and delay compensation. It shows that sufficient conditions can be derived to bound the tracking error and make its expectation monotonically convergent in the sense of L_(2)-norm, which work effectively with robustness for all admissible plant uncertainties. Furthermore, the sufficient conditions for both schemes can also be formulated in terms of two complementary functions, which do not depend on the delay time as well as the plant uncertainty and, thus, make them convenient to be checked and solved using the frequency-domain tools. Numerical simulations are included to illustrate the effectiveness of the two proposed ILC schemes.

关键词： Iterative learning control monotonic convergence previous iteration tracking error current iteration tracking error random iteration-varying noise delay compensation delay compensation monotone convergence iterative methods Iterative learning control follow error Scheme design problems Delay time Sufficient conditions learning control

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