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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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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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ANN-based modeling for load and main steam pressure characteristics of a 600MW supercritical power generating unit

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2nd International Conference on Opto-Electronics Engineering and Materials Research, OEMR 2013

作者： Ma, Liang Yu Gao, Zhi Yuan Automation Department School of Control and Computer Engineering North China Electric Power University Baoding 071003 China

ISBN: (纸本)9783037857731

A supercritical coal-fired power generating unit is a typical multivariable system with large inertia and non-linear, slow time-variant, time-delay characteristics, which often makes the coordinated control quality deteriorate under wide-range load-changing conditions, and can't well satisfy the unit load and main steam pressure control requirements. Thus, it is of vital significance to study the supercritical boiler unit's operation characteristic by means of modeling method, and to improve the control quality with model-based advanced control strategies. In this paper, artificial neural network (ANN) method was used to build a nonlinear mathematical model of the load and main steam pressure characteristics for a 600MW supercritical boiler unit. Operation data over wide-range load-changing conditions were used for model training. Simulation tests showed that the model can fit the complex non-linear, dynamic characteristics between the unit's load, main steam pressure and fuel, feedwater flow and turbine governing valve opening with high precision and strong generalization ability. The model can be used as a prediction model to construct an intelligent controller for supercritical boiler unit coordinated control to meet the engineering application demand. © (2013) Trans Tech Publications, Switzerland.

关键词： Neural networks

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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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A General Variable Neighborhood Search heuristic for short term load forecasting in Smart Grids environment

A General Variable Neighborhood Search heuristic for short t...

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Clemson University Power Systems Conference (PSC)

作者： Vitor N. Coelho Frederico G. Guimarães Agnaldo J. R. Reis Bruno N. Coelho Igor M. Coelho Marcone J. F. Souza Departament of Electrical Engineering Federal University of Minas Gerais Belo Horizonte Brazil Department of Control and Automation Engineering Federal University of Ouro Preto MG Brazil Institute of Computing Fluminense Federal University Niterói Brazil Department of Computer Science Federal University of Ouro Preto MG Brazil

Energy plants represent large energy consumers with a wide array of energy needs, assets (e.g. boilers, chillers, storage, on-site generation), and constraints on operations. An innovative energy management system for energy plants is presented in this paper. Through predictive optimization of plant assets, energy analytics, pricing signals, and historical and realtime data, the online energy management system supplies energy plants with salient hourly, real-time recommendations and enables “what-if” analysis to achieve improved economic efficiency. Within a systems context, the paper draws upon ideas from power systems and highlights technical issues related to plant optimization. The paper also describes actual implementations of the energy management solution at two energy plants in the US, providing economic details and an analysis of the savings achieved.

关键词： Turbines Natural gas Boilers Cooling Economics Optimization

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A Framework for the Nonlinear control of Dual-Stage Systems

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IFAC Proceedings Volumes 2014年第3期47卷 1140-1145页

作者： Aurélio T. Salton Jeferson V. Flores João M. Gomes da Silva Jinchuan Zheng Zhiyong Chen Group of Automation and Control Systems (GACS) Pontifícia Universidade Católica do Rio Grande do Sul Brazil Department of Electrical Engineering Universidade Federal do Rio Grande do Sul Brazil Faculty of Engineering and Industrial Sciences Swinburne University of Technology Australia School of Electrical Engineering and Computer Science The University of Newcastle Australia

This paper presents a framework for the nonlinear control of dual-stage actuators (DSA). Motivated by various nonlinear controllers that make use of sector bounded and £ ∞ nonlinearities for the control of saturated linear systems, a methodology for integrating such nonlinear functions in order to improve the performance of DSA is presented. The stability of the closed-loop system is assessed by casting the nonlinearities in a mixed sector-bounded plus quasi-Linear Parameter Varying (LPV) framework, leading to a set of linear matrix inequalities (LMIs) to be satisfied by the controller parameters. Taking advantage of the developed framework, a new £ ∞ function is proposed to avoid the saturation of the secondary actuator. Simulation results illustrate the validity of the proposed framework and its potential for the performance improvement of DSA.

关键词： DSA Nonlinear Feedback Time-Optimal Performance Macro-Micro Manipulator

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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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Event-Triggered State Estimation for a Class of Nonlinear Stochastic Systems with Mixed Time Delays

Event-Triggered State Estimation for a Class of Nonlinear St...

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第三十三届中国控制会议

作者： Lei Zou Zidong Wang Derui Ding Hong Qiao Research Institute of Intelligent Control and Systems Harbin Institute of Technology Department of Computer Science Brunel UniversityUxbridgeMiddlesexUB8 3PHUnited Kingdom School of Information Science and Technology Donghua University Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781479947249

In this paper, the state estimation problem is investigated for a class of nonlinear stochastic systems with mixed time delays under event-triggered scheme. Based on the proposed event-triggered scheme, the new measurement is sampled and then transmitted to the estimator only when the difference between the current measurement and the previous transmitted measurement is greater than a fixed threshold, thereby reducing the network traffic. Attention is focused on the design problem of the estimator such that the estimation error in mean square is bounded and then minimized. A novel Lyapunov function is employed to derive sufficient condition for the existence of the desired state estimators whose gain matrix can be computed by solving a convex problem. The gain matrix of the estimator is characterized in order that an asymptotic bound of the estimation error is found and subsequently minimized. A numerical simulation is provided to illustrate the effectiveness of the results.

关键词： Event-triggered scheme,mixed time delays,nonlinear systems,ultimately boundedness

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Towards an inclusive Parkinson's screening system

Towards an inclusive Parkinson's screening system

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Oana Geman Saeid Sanei Iuliana Chiuchisan Adrian Graur Aleš Procházka Oldřich Vyšata Department of Health and Human Development “Stefan eel Mare” University of Suceava Romania Department of Computer Science Electronics and Automation “Stefan cel Mare” University of Suceava Romania Faculty of Engineering and Physical Sciences University of Surrey United Kingdom Department of Computing and Control Engineering Institute of Chemical Technology Czech Republic Department of Neurology Charles University Czech Republic

In this study, brain, and gait dynamic information were combined and used for diagnosis and monitoring of Parkinson's disease (the most important Neurodegenerative Disorder). Analysis of the information corresponding to a prescribed movement involving tremor, and the related changes in brain connectivity is novel and original. Analytically, developing a space-time nonlinear adaptive system which fuses brain and gait information algorithmically is proposed here for the first time. The overall dynamic system will be constrained by the clinical impressions of the patient symptoms embedded in a knowledge-based system. The entire complex constrained problem were solved to enable a powerful model for recognition and monitoring of Parkinson's disease and establishing appropriate rules for its clinical following up.

关键词： Brain modeling Adaptation models Parkinson's disease Chaos Signal processing algorithms Nonlinear dynamical systems

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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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