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第三十三届中国控制会议

作者： Zhiyun Zhao Yiguang Hong Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences Charles L. Brown Department of Electrical and Computer Engineering University of VirginiaP.O. Box 400743Charlottesville VA 22904-4743 U.S.A.

This paper studies semi-global leader-following output consensus of a multi-agent system. Each follower agent in the system, described by a general linear system subject to external disturbances and actuator saturation, is to track the leader agent. Conditions on the agent dynamics are identified under which a low gain feedback based linear state control algorithm is constructed for each follower agent such that the leader-following output consensus is achieved when the communication topology among the agents is a directed graph that contains no loop and the leader is globally reachable. In addition, discussions and simulations are also provided for the output consensus in the presence of actuator saturation.

关键词： Leader-following output consensus,low gain feedback,multi-agent systems,actuator saturation

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On Infinite Time Performance of Nonlinear Model Predictive controllers

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IFAC Proceedings Volumes 2014年第3期47卷 1916-1921页

作者： Xin Cai Shaoyuan Li Ning Li Kang Li Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 P. R. China School of Electronics Electrical Engineering and Computer Science The Queen's University Belfast Belfast BT7 1NN UK

This paper addresses the problem of infinite time performance of model predictive controllers applied to constrained nonlinear systems. The total performance is compared with a finite horizon optimal cost to reveal performance limits of closed-loop model predictive control systems. Based on the Principle of Optimality, an upper and a lower bound of the ratio between the total performance and the finite horizon optimal cost are obtained explicitly expressed by the optimization horizon. The results also illustrate, from viewpoint of performance, how model predictive controllers approaches to infinite optimal controllers as the optimization horizon increases.

关键词： Model Predictive control Finite Horizon Optimal control Value Iteration Principle of Optimality

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Robust fault tolerant control on distributed networked control systems with quantized states

Robust fault tolerant control on distributed networked contr...

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World Congress on Intelligent control and Automation (WCICA)

作者： Yang Ge Jingcheng Wang Yi Zhang Kang Li Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Shanghai China Shanghai Urban-Rural Construction and Transportation Development Research Institute Shanghai China Electrical Engineering and Computer Science Queen's University Belfast Belfast UK

The distributed networked control systems are considered in this paper. Several sub-systems which are connected with each other through a communication network make up the whole system. Each sub-system has its own quantizer so that any information which needs be transmitted to other sub-systems will be quantized due to limited bandwidth. Meanwhile, the actuator faults, including outage, loss of effectiveness and stuck are also considered in our research. A mode-based state feedback controller is given in this paper to stable such NCSs and to meet the robust H-inf performance. A simulation example is proposed to illustrate the effectiveness of our method finally.

关键词： Quantization (signal) Networked control systems State feedback Closed loop systems Communication networks Actuators Fault tolerance

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The tracking control of second-order multi-agent systems with time-delays

The tracking control of second-order multi-agent systems wit...

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International Conference on Mechatronics and control (ICMC)

作者： Wenguang Zhang Yazhou Sun Wanting Lu Mingming Gao State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China School of Automation Chongqing University Chongqing China School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9781479925391

This paper is devoted to the consensus problem of the second-order multi-agent with leader and time-delays. By applying the frequency-domain method, some sufficient conditions for consensus of systems are given. And the upper bound of time-delays is deduced, which depends on the largest eigenvalue of the sum matrix of Laplacian matrix and the adjacency matrix between leader and followers. Finally, the effectiveness of conclusion is verified through the numerical simulation experiments.

关键词： Multi-agent systems Topology Eigenvalues and eigenfunctions Laplace equations Network topology Frequency-domain analysis Upper bound

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Finite-time stability and stabilization of It stochastic time-varying systems

Finite-time stability and stabilization of It stochastic t...

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第三十三届中国控制会议

作者： YAN Zhiguo ZHANG Weihai LIN Zhongwei School of Electrical Engineering and Automation Qilu University of Technology College of Electrical Engineering and Automation Shandong University of Science and Technology State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer EngineeringNorth China Electric Power University

This paper deals with the finite-time stability and stabilization for continuous-time linear stochastic time-varying systems. Several necessary and sufficient conditions and a sufficient condition for finite-time stability are derived. Moreover,a sufficient condition for the existence of state feedback controller is given. Such results involve the feasibility problems of differential linear matrix inequalities with terminal constraint.

关键词： Stochastic systems,time-varying systems,finite-time stability

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Determination of the principal components for the optimal detection performance of a combined index

Determination of the principal components for the optimal de...

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第25届中国控制与决策会议

作者： Tian Qiu Xiaojing Bai Xiyu Zheng Xiang Zhu State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University

ISBN: (纸本)9781467355339

In process monitoring, faults might be completely detected by or or both of them. However, one index rather than two indices is preferred to monitor a process in practice. The number of principal components (PCs) in principal component analysis (PCA) impacts the fault detection performance obviously. In this paper, we focus on developing a selection criterion for the number of the PCs based on the best detection performance of the combined index and discussing the uncertainty of PCA model through cross validation. The simulation demonstrates that one index has a good detection performance and simplifies the detection system.

关键词： principal component analysis (PCA), fault detection, detection performance, fault amplitude

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Boundary feedback control design and stability of open-channel networks

Communications in Computer and Information Science

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Communications in computer and Information Science 2013年 355卷 342-350页

作者： Cen, Lihui Xi, Yugeng Li, Dewei Cen, Yigang Department of Control Engineering Central South University Changsha China Key Laboratory of System Control and Information Processing Ministry of Education Department of Automation Shanghai Jiaotong University Shanghai China School of Computer and Information Technology Beijing Jiaotong University Beijing China

This paper proposed a boundary feedback control design for open-channel networks with trapezoidal cross sections by using a Riemann invariants approach. The open-channel network is well modeled by the nonlinear Saint-Venant equations. Based on the characteristic form in terms of Riemann invariants, the stabilizing boundary control is developed for a single canal. The stability condition and the boundary control design are subsequently generalized to open-channel networks composed by multireaches in cascade. The design of the boundary feedback control laws either for a single canal or for the cascaded networks is illustrated in a unified design framework. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Feedback control

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Further Results on the Maximal Contractively Invariant Ellipsoid of Discrete-time Linear systems with Multiple Inputs Subject to Actuator Saturation

Further Results on the Maximal Contractively Invariant Ellip...

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IEEE Annual Conference on Decision and control

作者： Yuanlong Li Zongli Lin Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai 200240 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia P.O. Box 400743 Charlottesville VA 22904-4743 USA

ISBN: (纸本)9781467360890

Contractively invariant ellipsoids have been extensively used as estimates of the domain of attraction of a linear system under a saturated linear feedback. For a discrete-time linear system with a single input subject to actuator saturation, based on a convex hull representation of the saturated linear feedback, a necessary and sufficient condition for an ellipsoid to be contractively invariant was previously established. Based on this condition, the determination of the maximal contractively invariant ellipsoid can be formulated and solved as an LMI problem. In this paper, we develop a criterion to determine if a contractively invariant ellipsoid is the maximal one for discrete-time saturated linear systems with multiple inputs. This criterion is based on the solution of an LMI problem, which involves a generalized convex hull representation of saturated linear feedbacks, and includes the existing result for discrete-time saturated linear systems with a single input as a special case. Simulation results demonstrate the effectiveness of our results.

关键词： Linear system multi-input discrete-time Invariant discrete time systems linear feedback Saturated convex hull region of attraction

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Simulation about multi-frequency modulator of light impulse used in LAPS array

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2013 International Conference on Advances in Materials Science and Manufacturing Technology, AMSMT 2013

作者： Hu, Wei Jun Computer Science and Information Engineering College Chongqing Technology and Business University Chongqing Engineering laboratory of Detection and Control Integrated system Chongqing 400067 China

ISBN: (纸本)9783037857984

Two kind of frequency modulator to produce multi-frequency light impulse array and a kind of measurement system for light addressable potentiometric sensor (LAPS) array are introduced based on micro-lens and frequency modulator disk. Simulation of FFT is used to analyze the available photocurrent signals of LAPS array with MATLAB. According the simulation spectrum, the corresponding photocurrent signals of light impulse with different frequencies are able to resolve. When the duty ratio is larger than or equal to 30%,the construction of the frequency modulator can be simplified, which further prove that LAPS array with multi-frequency light impulses is provided with reliable *** of above provides enough theoretical foundation for preparation and signal processing of LAPS array device. © (2013) Trans Tech Publications, Switzerland.

关键词： Microlenses

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Covariance free incremental principal component analysis with exact mean update

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Journal of Computational Information systems 2013年第16期9卷 6703-6710页

作者： Zeng, Xueqiang Li, Guozheng The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China Computer Center Nanchang University Nanchang 330029 China Department of Control Science and Engineering Tongji University Shanghai 201804 China

Incremental feature extraction is an essential data preprocessing technique for large-scale and streaming data mining. Among various covariance matrix-free Incremental Principal Component Analysis (IPCA) methods, Candid Covariance-free Incremental Principal Component Analysis (CCIPCA) is a state-of-the art algorithm. Since the training samples are required to be centred, CCIPCA applies an approximate centric alignment on the input data, where only the current sample is correctly centred and all historical data are not updated properly. In this paper, we propose a novel centred incremental principal component analysis algorithm with exact historical mean update, where not only the current sample is centred, but also all historical data are updated by the current mean correctly. Compared to CCIPCA, the proposed method converges more quickly, and the performance improvement is especially obvious when the data's inherent covariance is not stable. The experiments on real streaming dataset show that the proposed method is much superior to CCIPCA in convergence speed. © 2013 Binary Information Press.

关键词： Principal component analysis

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