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第三十三届中国控制会议

作者： Guanglei Zhao Jingcheng Wang Kang Li Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China School of Electronics Electrical Engineering and Computer ScienceQueens University BelfastUK

ISBN: (纸本)9781479947249

This paper considers reset control systems with output *** present sufficient conditions for the quadratic stability and finite L2 gain ***,the results are extended to piecewise quadratic stability which is much less ***,an iterative algorithm is proposed to design the reset *** the obtained results are given as linear matrix inequalities(LMIs) that can be solved *** examples are given to illustrate the results.

关键词： reset control output uncertainties quadratic stability iterative algorithm

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Distributed MPC for Tracking based on Reference Trajectories

Distributed MPC for Tracking based on Reference Trajectories

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第三十三届中国控制会议

作者： Langwen Zhang Jingcheng Wang Zhengfeng Liu Kang Li Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China School of Electronics Electrical Engineering and Computer Science Queen's University Belfast

ISBN: (纸本)9781479947249

In this paper, we consider the control of large-scale processes with both input and state couplings. A distributed model predictive control(MPC) strategy for tracking based on the reference trajectories is presented. The proposed distributed MPC strategy requires decomposing a large-scale system into several smaller ones and solving convex optimization problems independently. Distributed MPC tracking strategies for unconstrained and constrained processes are presented, respectively. An iterative algorithm is presented to coordinate the distributed MPC controllers. The proposed algorithm is applied to a four-tank process to demonstrate the effectiveness.

关键词： distributed MPC tracking iterative algorithm reference trajectories

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A unified framework for optimality analysis of model predictive control

A unified framework for optimality analysis of model predict...

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World Congress on Intelligent control and Automation (WCICA)

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 Shanghai P.R. China Electrical Engineering and Computer Science Queen's University Belfast Belfast UK

As well-known, model predictive control is closely related to optimal control. This paper studies relationships between them and provides a unified framework for optimality analysis of model predictive controllers (MPC). The optimality is evaluated by comparing total performance of MPC with finite and infinite horizon optimal cost. Based on relaxed value iteration method, upper and lower bounds of optimality evaluation functions are expressed explicitly in terms of optimization horizon. These results reveal detailed characteristics on performance of closed-loop MPC systems due to using “receding horizon optimization” implementation style.

关键词： Optimal control Nonlinear systems Cost function Predictive control Predictive models

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Online multiple instance regression

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Chinese Physics B 2013年第9期22卷 656-661页

作者：王志岗赵增顺张长水 Department of Automation Tsinghua UniversityState Key Laboratory of Intelligent Technologie and SystemsTsinghua National Laboratory for Information Science and Technology College of Information and Electrical Engineering Shandong University of Science and Technology School of Control Science and Engineering Shandong University

The multiple instance regression problem has become a hot research topic recently. There are several approaches to the multiple instance regression problem, such as Salience, Citation KNN, and MI-ClusterRegress. All of these solutions work in batch mode during the training step. However, in practice, examples usually arrive in sequence. Therefore, the training step cannot be accomplished once. In this paper, an online multiple instance regression method ＂OnlineMIR＂ is proposed. OnlineMIR can not only predict the label of a new bag, but also update the current regression model with the latest arrived bag. The experimental results show that OnlineMIR achieves good performances on both synthetic and real data sets.

关键词： mutiple instance regression online learning

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Finite-time consensus of leader-follower multi-agent systems with fixed and switching topologies

Finite-time consensus of leader-follower multi-agent systems...

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World Congress on Intelligent control and Automation (WCICA)

作者： Yakun Zhu Cailian Chen Xinping Guan Xiaoyuan Luo School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao P. R. China Department of Automation Key Laboratory of System Control and Information Processing Shanghai P. R. China Institute of Electrical Engineering Yanshan University Qinhuangdao P. R. China

This paper proposes a novel nonlinear distributed consensus protocol of the finite-time consensus problems of leader-follower multi-agent systems based on the distributed consensus error functions. It is proved that the leader-follower multi-agent systems under this nonlinear protocol can reach the consensus in finite time in the scenarios with fixed topology and two kinds of switching topologies, respectively. The results are also extended to the case with directed communication topology. Finally, some examples and simulation results are given to illustrate the effectiveness of the proposed control protocols.

关键词： Topology Switches Protocols Multi-agent systems Network topology Vehicle dynamics Educational institutions

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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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Continuous-variable measurement-device-independent quantum key distribution

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Physical Review A 2014年第5期89卷 052301-052301页

作者： Zhengyu Li Yi-Chen Zhang Feihu Xu Xiang Peng Hong Guo State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science and Center for Quantum Information Technology Peking University Beijing 100871 China Center for Computational Science and Engineering Peking University Beijing 100871 China State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing 100876 China Centre for Quantum Information and Quantum Control Department of Physics and Department of Electrical and Computer Engineering University of Toronto Toronto Ontario Canada M5S 3G4

We propose a continuous-variable measurement-device-independent quantum key distribution (CV-MDI QKD) protocol, in which detection is conducted by an untrusted third party. Our protocol can defend all detector side channels, which seriously threaten the security of a practical CV QKD system. Its security analysis against arbitrary collective attacks is derived based on the fact that the entanglement-based scheme of CV-MDI QKD is equivalent to the conventional CV QKD with coherent states and heterodyne detection. We find that the maximal total transmission distance is achieved by setting the untrusted third party close to one of the legitimate users. Furthermore, an alternate detection scheme, a special application of CV-MDI QKD, is proposed to enhance the security of the standard CV QKD system.

关键词： QUANTUM theory QUANTUM mechanics QUANTUM entanglement QUANTUM coherence HETERODYNE detection QUANTUM fluctuations

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Evolution and maintenance of cooperation via inheritance of neighborhood relationship

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Chinese Science Bulletin 2013年第28期58卷 3491-3498页

作者： TAN ShaoLin Lü JinHu YU XingHuo HILL David John The Key Laboratory of System and Control Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of Sciences School of Electrical and Computer Engineering RMIT University Department of Electrical and Electronic Engineering The University of Hong Kong School of Electrical and Information Engineering University of Sydney

Cooperative behaviors are ubiquitous in nature and human *** is very important to understand the internal mechanism of emergence and maintenance of *** we know now,the offsprings inherit not only the phenotype but also the neighborhood relationship of their *** recent research results show that the interactions among individuals facilitate survival of cooperation through network reciprocity of clustering *** paper aims at introducing an inheritance mechanism of neighborhood relationship to explore the evolution of *** detail,a mathematical model is proposed to characterize the evolutionary process with the above inheritance *** analysis and numerical simulations indicate that high-level cooperation can emerge and be maintained for a wide variety of cost-to-benefit ratios,even if mutation happens during the evolving process.

关键词：合作机制邻里关系维护演变进化过程人类社会遗传机制数学模型

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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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Enhancing the Effectiveness of Fungicides by Optimizing Their Combinations

Enhancing the Effectiveness of Fungicides by Optimizing Thei...

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第26届中国控制与决策会议

作者： Xiang Wang Jia Ma Xiaowei Li Xiaodong Zhao Zongli Lin Jie Chen Zhifeng Shao Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Department of Resource and Environmental Science School of Agriculture and BiologyShanghai Jiao Tong University School of Biomedical Engineering Shanghai Jiao Tong University Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

In controlling biological diseases, it is often more potent to use a combination of agents than using individual ones. However, the number of possible combinations increases exponentially with the number of agents and their concentrations. It is prohibitive to search for effective agent combinations by trial and error as biological systems are complex and their responses to agents are often a slow process. This motivates to build a suitable model to describe the biological systems and help reduce the number of experiments. In this paper, we consider the use of fungicides to inhibit Bipolarismaydis and construct models that describe the responses to fungicide combinations. Three data-driven modeling methods, the polynomial regression, the artificial neural network and the support vector regression, are compared based on the experimental data of the inhibition rates of the southern corn leaf blight with different fungicide combinations. The analysis of the results demonstrates that the support vector regression is best suited to the construction of the response model in terms of achieving better prediction with fewer experiments.

关键词： agent combinations,complex system,data-driven model,polynomial regression,artificial neural network,support vector regression

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