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Chinese control Conference (CCC)

作者： Weihua Xu Yang Zhu Qihui Duan Lei Wang State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China

ISBN: (纸本)9781479900305

This paper presents a L 2 -L ∞ filtering scheme for nonlinear discrete-time Markovian jumping neural networks with time delay under missing output measurements. By constructing appropriate Lyapunov-Krasovskii functional and utilizing some linear matrix inequality techniques, the mean square stability of the stochastic estimation error systems is guaranteed and a sufficient condition is established to ensure the given L 2 -L ∞ filtering performance. What's more, we provide the design approach of the filter when the delayed states in output measurements are involved or output measurements of the systems can be fully obtained. The gain matrix of the filter can be derived from the solution of a set of linear matrix inequalities. Finally, the simulation proves the availability of the proposed approach.

关键词： Electronic mail Linear matrix inequalities Neural networks Delay effects Time measurement Laboratories industrial control

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Exponential Stabilization of Unstable Diffusion-reaction PDEs with Mixed Boundary Condition

Exponential Stabilization of Unstable Diffusion-reaction PDE...

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第三十二届中国控制会议

作者： Zhigang Ren Chao Xu Jian Chu Department of Control Science and Engineering Zhejiang University The State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control

ISBN: (纸本)9789881563835

In this paper,both the optimal control problems and the stability for the state-feedback of an unstable linear parabolic diffnsion-reaction partical differential equations(PDEs) system with an actuator at the right-hand-side boundary are considered. Using the weak variation approach,we firstly derive the first order necessary conditions for the open loop finite-time horizon ***,we discuss the state-feedback problem of the open loop PDEs system,and get the result of the feedback law through solving a Riccati partial differential ***,with the feedback law,we prove out the exponential stability for the state-feedback problem that is very innovative and instructive by using the lyapunov method.

关键词： Optimal control PDEs Exponential Stability Lagrangian Riccati PDE

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Notes on Sampled-data design for robust control of a single qubit

Notes on Sampled-data design for robust control of a single ...

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3rd IFAC Conference on Intelligent control and Automation Science, ICONS 2013

作者： Wang, Yuanlong Chen, Chunlin Dong, Daoyi State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China Department of Control and System Engineering Nanjing University Nanjing 210093 China School of Engineering and Information Technology University of New South Wales Australian Defence Force Academy Canberra ACT 2600 Australia

ISBN: (纸本)9783902823458

This paper presents several notes on the robust control method proposed in [Dong et al (2013), Sampled-data design for robust control of a single qubit. IEEE Transactions on Automatic control, in press] and improves the original sampling periods so that this control method can be better and more furthermore easily realized. For the case of amplitude damping decoherence, a larger sampling period is presented when the upper bound of the probability of failure is small enough. For the case of phase damping decoherence, a larger sampling period is given when the lower bound of the target coherence is large enough. Furthermore, we provide improved sampling periods for both of the above two cases under the same assumption as that in [Dong et al (2013), Sampled-data design for robust control of a single qubit. IEEE Transactions on Automatic control, in press]. Copyright © 2013 IFAC.

关键词： Robust control

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A soft constraint adjustment method based on multi-parametric programming in steady-state target calculation for model predictive control

A soft constraint adjustment method based on multi-parametri...

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Chinese control Conference (CCC)

作者： Xiaozhong Lin Lei Xie Hongye Su Institute of Cyber-Systems & Control State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China

In order to track the result of local economic optimization, steady-state target calculation for Model Predictive control should be implemented. When steady-state target calculation for Model Predictive control becomes infeasible, soft constraints adjustment is involved to make it feasible. The traditional method does not consider that different soft constraints adjustment will affect final economic objective achievement, It is not guaranteed to achieve the optimal economic objective through soft constrains adjustment by choosing different weighted coefficient according to experience, a multi-parametric programming algorithm is proposed to divide the variation range of coefficients of the soft constraint into different regions. It can determine the most suitable soft constraints adjustment to achieve optimal economic objective by comparing economic objective value in the different region. Simulation results of typical control model of a heavy oil fractionator proposed by Royal Dutch/Shell Group showed the effectivity of the proposed algorithm.

关键词： Steady-state Predictive control Economics Optimization Programming Laboratories

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Closed-loop subspace identification based on KPLS

Closed-loop subspace identification based on KPLS

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Chinese control Conference (CCC)

作者： Wen-yi Lin Yong Gu Lei Xie State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China

Closed-loop subspace identification methods have enjoyed tremendous development in last decade. This paper presents a novel method combined with KPLS, aiming at the situation without persistence of excitation. In this method, KPLS is utilized to obtain Markov parameters, then, state sequence is estimated by SVD decomposition. Based on the estimated state sequence, the model parameters are estimated by linear regression. 30 Monte Carlo simulation examples are presented in the end of the paper, the results are shown to be competitive and robust in the situation without persistence of excitation in MIMO system, and the new method is more applicable for process industry.

关键词： Monte Carlo methods Markov processes MIMO Electronic mail Least squares methods Reactive power Laboratories

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controllability analysis of Networked control systems with packets loss

Controllability analysis of Networked Control Systems with p...

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Chinese control Conference (CCC)

作者： Hong Lin Hongye Su Yong Xu State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou Zhejiang CN

The problem of controllability and control strategy for a class of Networked control systems (NCSs) with packets loss are studied in this paper. A probabilistic controllability conception is proposed for these systems. In order to analyze the probabilistic controllability and relevant properties, a representation of the initial state by a group of constructive base of linear space is introduced. Based on this representation the affects to control system caused by packets loss can be expressed by system substates. A control strategy is developed to guarantee, the controllability of NCSs, and the minimum control steps property of this control strategy is discussed as well. Finally, a necessary and sufficient condition of probabilistic controllability for NCSs with packets loss is represented.

关键词： Packet loss controllability Sufficient conditions Networked control systems Probabilistic logic

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Contagion dynamics in time-varying metapopulation networks

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Physical Review E 2013年第3期87卷 032805-032805页

作者： Su-Yu Liu Andrea Baronchelli Nicola Perra State Key Laboratory of Industrial Control Technology Institute of Cyber-systems and Control Zhejiang University Hangzhou 310027 China Laboratory for the Modeling of Biological and Socio-technical Systems Northeastern University Boston Massachusetts 02115 USA

The metapopulation framework is adopted in a wide array of disciplines to describe systems of well separated yet connected subpopulations. The subgroups or patches are often represented as nodes in a network whose links represent the migration routes among them. The connections have been so far mostly considered as static, but in general evolve in time. Here we address this case by investigating simple contagion processes on time-varying metapopulation networks. We focus on the SIR process and determine analytically the mobility threshold for the onset of an epidemic spreading in the framework of activity-driven network models. We find profound differences from the case of static networks. The threshold is entirely described by the dynamical parameters defining the average number of instantaneously migrating individuals and does not depend on the properties of the static network representation. Remarkably, the diffusion and contagion processes are slower in time-varying graphs than in their aggregated static counterparts, the mobility threshold being even two orders of magnitude larger in the first case. The presented results confirm the importance of considering the time-varying nature of complex networks.

关键词： DYNAMICAL systems PROBABILITY theory TIME-varying systems METAPOPULATION (Ecology) COMPUTER networks GROUP theory

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A Novel Grid-Based K-Means Combined With Self-Organizing Map

A Novel Grid-Based K-Means Combined With Self-Organizing Map

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2013 Asia-Pacific Computational Intelligence and Information technology Conference(APCIIT 2013)

作者： JIN DING YONG-ZAI LU JIAN CHU State Key Laboratory of Industrial Control Technology Institute of Cyber-System and Control Zhejiang University

Clustering plays an important role in data analysis. The classic k-means method is not well scaled to large datasets and its performance is sensitive to the initial seeds. In this paper we present the development of a novel hybrid k-means which proceeds on the result of the self-organizing map(SOM) training and initializes its seeds based on the trained SOM grid. Theoretical analysis suggests this method is time-efficient to the massive datasets. And in addition, the numerical results show the grid-based seed initialization has faster convergence characteristics and competitive accuracy on both computer-generated and real-world test cases compared to its randomized seed initialization counterpart.

关键词： A Novel Grid-Based K-Means Combined With Self-Organizing Map

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Notes on Sampled-data Design for Robust control of a Single Qubit

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IFAC Proceedings Volumes 2013年第20期46卷 353-358页

作者： Yuanlong Wang Chunlin Chen Daoyi Dong Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China Department of Control and System Engineering Nanjing University Nanjing 210093 China Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China and School of Engineering and Information Technology University of New South Wales at the Australian Defence Force Academy Canberra ACT 2600 Australia

This paper presents several notes on the robust control method proposed in [Dong et al (2013), Sampled-data design for robust control of a single qubit. IEEE Transactions on Automatic control, in press] and furthermore improves the original sampling periods so that this control method can be better and more easily realized. For the case of amplitude damping decoherence, a larger sampling period is presented when the upper bound of the probability of failure is small enough. For the case of phase damping decoherence, a larger sampling period is given when the lower bound of the target coherence is large enough. Furthermore, we provide improved sampling periods for both of the above two cases under the same assumption as that in [Dong et al (2013), Sampled-data design for robust control of a single qubit. IEEE Transactions on Automatic control, in press].

关键词： Quantum control qubit sampled-data design sliding mode control robust decoherence control

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Multi-objective mathematic programming model and algorithm for production planning in steel and iron enterprise

Multi-objective mathematic programming model and algorithm f...

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Chinese control Conference (CCC)

作者： Shan Lu Hong-ye Su Li Zhu Qinghong Shen National Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China

As iron and steel products demand becomes increasingly diversified and batch reduced, make-to-order production has gradually satisfied the demand of modern iron and steel enterprises. It is significant for optimization of the make-to-order production planning to guarantee punctual delivery considering inventory, production capacity, processes and product specification. A multi-objective mixed integer nonlinear programming (MINLP) model is formulated to optimize the production, and a hybrid particle swarm optimization algorithm is developed to solve the model. A case study based on the order data of a steel and iron enterprise is presented. Compared with the optimization strategy upon particle swarm optimization and manual scheduling, the proposed optimization model and strategy effectively reduce losses caused by back order, inventory storage and unbalanced production capacity, and provide a reference and guidance for the operation.

关键词： Steel Iron Particle swarm optimization Programming Production planning Optimization

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