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IEEE International Conference on systems, Man and cybernetics

作者： Guoqiang Zeng Weimin Wu MengChu Zhou Weijie Mao Hongye Su Jian Chu State Key Laboratory of Industrial Control Technology & Institute of Cyber-Systems and Control University of Zhejiang Hangzhou China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

This paper presents a novel method to design Petri net-based deadlock prevention controllers for flexible manufacturing systems. It starts from the computation of the complete deadlock markings by utilizing the conservativeness property of a Petri net model and the necessary and sufficient condition for deadlock. Then, it verifies a small state space including the dangerous and bad markings only by combining one-step look-forward through the original net and one-step look-backward via its reverse net. Subsequently, it defines the set of place invariants from the subset of marked operation places for the so called ¿elementary controlled bad markings¿. Finally, it synthesizes a deadlock prevention controller by a simplified invariant-based method. Its obtained deadlock-free controller allows more behavior of the closed-loop system than those obtained via a siphon-based control method. Its computational efficiency is higher than those based on a complete reachability graph-based control method.

关键词： System recovery control systems Flexible manufacturing systems Design methodology Sufficient conditions state-space methods control system synthesis Computational efficiency cybernetics USA Councils

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Mixed μ Robust Finite Word Length controller Design

Mixed μ Robust Finite Word Length Controller Design

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

作者： Jun Wu Gang Li Sheng Chen Jian Chu State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang University the College of Information Engineering Zhejiang University of Technology School of Electronics and Computer Science University of Southampton

A novel finite word length(FWL) controller design is developed in the framework of mixed μ theory.A robust FWL controller performance measure is proposed which takes into account the standard robust control requirements as well as the FWL implementation considerations, and the corresponding FWL robust controller design problem is naturally reformulated as a mixed μ problem which can be treated effectively with the results of mixed μ theory.

关键词： ERK Mixed Robust Finite Word Length controller Design controller

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SORTING AND ENRICHMENT OF RARE SPECIFIC CELLS FROM BLOOD AND TISSUE BY MICROCHIP

SORTING AND ENRICHMENT OF RARE SPECIFIC CELLS FROM BLOOD AND...

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第九届亚太国际微分离分析学术会议暨第一届亚太国际芯片实验室学术会议

作者： Linlin Wang Jiang Huang Wei Jin Ying Mu Research Center for Analytical Instrumentation Institute of Cyber-Systems and Control State Key Lab.Of Industrial Control Technology Zhejiang University Hangzhou 310058

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Iterative Learning control with High-Order Internal Model for Linear Time-Varying systems

Iterative Learning Control with High-Order Internal Model fo...

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2009 American control Conference (ACC 2009)

作者： Chunping Liu Jianxin Xu Jun Wu State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China Department of Electrical and Computer Engineering National University of Singapore 117576 Singapore

ISBN: (纸本)9781424445233

In this work we focus on iterative learning control (ILC) for iteratively varying reference trajectories which are described by a high-order internal model. The high-order internal model (HOIM) is formulated as a polynomial between two consecutive iterations. The classical ILC with iteratively invariant reference trajectories, on the other hand, is a special case of HOIM where the polynomial renders to a unity coefficient, in other words, the 0th order internal model. By inserting the polynomial (HOIM) into the past control input of the ILC law, and designing appropriate learning control gains, the learning convergence in the iteration axis can be guaranteed for continuous-time linear time varying (LTV) systems. The initial condition, P-type and D-type ILC, and possible extension to nonlinear cases are also explored.

关键词： Time varying systems Polynomials Convergence control systems Iterative methods Process design Time domain analysis Design methodology Transient response Trajectory

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Identification of Nonlinearly Parameterized Nonlinear Models:Application to Mass Balance systems

Identification of Nonlinearly Parameterized Nonlinear Models...

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

作者： Xiangbin Liu Romeo Ortega Hongye Su Jian Chu State Key Lab.of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang University Electronic Information Engineering College Henan University of Science& Technology

A new framework to design parameter estimators for nonlinearly parameterized systems is proposed in this *** key step is the construction of a monotone function,which explicitly depends on some of the estimator tuning ***—or the related property of convexity—have already been explored by several authors with monotonicity(or convexity) being a priori assumptions that are,usually,valid only on some region of state *** our approach monotonicity is enforced by the designer,effectively becoming a synthesis *** order to dispose of degrees of freedom to render the function monotone we depart from standard(gradient or least-squares) estimators and adopt instead the recently introduced immersion and invariance approach for adaptation.

关键词： Identification of Nonlinearly Parameterized Nonlinear Models:Application to Mass Balance systems

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Multi-step Prediction Error Approach for MPC Performance Monitoring *

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IFAC Proceedings Volumes 2009年第11期42卷 482-487页

作者： Yu Zhao Jian Chu Hongye Su Biao Huang State Key Lab. of Industrial Control Technology Institute of Cyber Systems and Control Zhejiang University Hangzhou China Department of Chemical and Materials Engineering University of Alberta Edmonton AB Canada T6G 2G6

Abstract Performance monitoring of model predictive control systems (MPC) has received a great interest from both academia and industry. In recent years some novel approaches for multivariate control performance monitoring have been developed without the requirement of process models or interactor matrices. Among them the prediction error approach has been shown to be a promising one, but it is k-step prediction based and may not be fully comparable with the MPC objective that is multi-step prediction based. This paper develops a multi-step prediction error approach for performance monitoring of model predictive control systems, and demonstrates its application in an industrial MPC performance monitoring and diagnosis problem.

关键词： Multivariable control systems Model predictive control Performance evaluation Performance monitoring Prediction error methods

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Immersion and Invariance Adaptive control of Nonlinearly Parameterized Nonlinear systems

Immersion and Invariance Adaptive Control of Nonlinearly Par...

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2009 American control Conference (ACC 2009)

作者： Xiangbin Liu Romeo Ortega Hongye Su Jian Chu State Key Lab. of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 P. R. China Laboratoire des Signaux et Systemes Supelec 9112 Gif-sur-Yvette France

ISBN: (纸本)9781424445233

A new framework to design adaptive controllers for nonlinearly parameterized systems is proposed in this paper. The key step is the construction of a monotone function, which explicitly depends on some of the estimator tuning parameters. Monotonicity--or the related property of convexity--have already been explored by several authors with convexity being an a priori assumption that is valid only on some region of state space. In our approach monotonicity is enforced by the designer, effectively becoming a synthesis tool. One consequence of this fact is that the controller does not rely on state-dependent switching. In order to dispose of degrees of freedom to render the function monotone we depart from standard adaptive control and adopt instead the recently introduced Immersion and Invariance approach.

关键词： Adaptive control Nonlinear systems Programmable control control systems Nonlinear control systems Parameter estimation state-space methods Robust stability Switches Standards development

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Iterative Learning control for Network systems with Communication Delay or Data Dropout

Iterative Learning Control for Network Systems with Communic...

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

作者： Chunping Liu Jianxin Xu Jun Wu State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang University Department of Mechatronics Engineering Shaoxing College of Arts and Sciences Department of Electrical and Computer Engineering National University of Singapore Hangzhou Qian Jiang expert SUPCON Technology Co.Ltd.SUPCON Park

In this paper,iterative learning control(ILC) is applied to network-based control problems in which communication channels are subject to random transport delay and data *** averaging ILC algorithm is used to overcome the random *** analysis,it is shown that ILC can perform well and achieve asymptotical convergence in ensemble average along the iteration axis,as far as the probability of the transmission delay and data dropout are known a priori.A unique contribution in this work is to illustrate the applicability of ILC to nonlinear systems while both the one-step delay and the data-dropout phenomena are taken into *** analysis and simulations validate the effectiveness of the ILC algorithm for network-based control tasks.

关键词： ILC Iterative Learning control for Network systems with Communication Delay or Data Dropout dropout

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Partial feedback control of quantum systems using probabilistic fuzzy estimator

Partial feedback control of quantum systems using probabilis...

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IEEE Conference on Decision and control

作者： Chunlin Chen Gerasimos G. Rigatos Daoyi Dong James Lam State Key Laboratory for Novel Software Technology Nanjing University China Unit of Industrial Automation Industrial Systems Institute Rion Greece State Key Laboratory of Industrial Control Technology Zhejiang University and the School of Engineering and Information Technology University of New South Wales Canberra ACT Australia Department of Mechanical Engineering University of Hong Kong Hong Kong China

ISBN: (纸本)9781424438716

A partial feedback control scheme with a probabilistic fuzzy estimator (PFE) is presented for the robust control of quantum systems. In this scheme, a probabilistic fuzzy simulator is trained to estimate the quantum states for feedback control of quantum systems. Usually, the estimated state is fed back to design a controller. However, when the estimated quantum state is an almost-eigenstate, a projective measurement will be triggered for the quantum system and the measurement results will be fed back to construct the controller and regulate the fuzzy estimator. This scheme is a partial feedback strategy with controlled discontinuous measurement, where the quantum measurement serves as a control tool and is helpful for driving the quantum system to a desired state tracking even in the presence of unknown disturbances and stochastic noises. An example of a two-spin-¿ system is also presented to demonstrate the proposed approach.

关键词： Feedback control Fuzzy control Fuzzy systems state estimation control systems Noise measurement Robust control state feedback Stochastic systems Stochastic resonance

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Vision based ping-pong ball tracking with physical model

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Journal of Information and Computational Science 2008年第5期5卷 2235-2242页

作者： Liu, Yong Xiong, Rong Zhang, Yifeng Chu, Jian State Key Lab. of Industrial Control Technology Zhejiang University Hangzhou 310027 China Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China

This paper proposes a novel vision based ping-pong (table tennis) ball tracking system. And it can generate the ping-pong ball trace in real time with the aiding of a transcendent trace model. Our approach only need three high speed digital cameras, which could cover whole the ball flight trace and decrease the cost of the tracking system. Our tracking system sets up a theoretical ping-pong ball trace model, and then a Kalman filter method is used to fuse the final trace with the data from three cameras based on the trace model. The experiment results show our system could track the ping-pong ball reasonably and generate the smooth trace of the ping-pong ball in real time. 1548-7741/Copyright © 2008 Binary Information Press October 2008.

关键词： Tracking (position)

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