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H_∞ consensus control of a class of second-order multi-agent systems without relative velocity measurement

Chinese Physics B 2010年第7期19卷 188-192页

作者：张文广曾德良郭振凯 Beijing Key Laboratory of Measurement and Control New Technology and System for Industrial Process Control & Computer Engineering SchoolNorth China Electric Power University School of Mathematics and Information Ludong University

This paper studies consensus control problems for a class of second-order multi-agent systems without relative velocity measurement. Some dynamic neighbour-based rules are adopted for the agents in the presence of external disturbances. A sufficient condition is derived to make all agents achieve consensus while satisfying desired H∞ performance. Finally, numerical simulations are provided to show the effectiveness of our theoretical results.

关键词： consensus control H∞ second-order multi-agent systems

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Electricity price forecasting using neural networks trained with entropic criterion

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7th International Symposium on Neural Networks, ISNN 2010

作者： Zhang, Jianhua Wang, Jingyue Wang, Rui Hou, Guolian Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University Beijing 102206 China

ISBN: (纸本)9783642129896

Accurate electricity price forecasting is critical to market participants in wholesale electricity markets. The problem becomes more complex because the acquired data series are non-linear and non-Gaussian. In this paper, Multi Layer Perceptrons (MLP) trained with minimizing error entropy (MEE) algorithm is utilized to forecast electricity price. Compared with the conventional MLP with mean square error (MSE) criterion, the proposed approach can achieve better performance in simulated examples. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Entropy

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An information theoretic approach for design MIMO networked control systems

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7th International Symposium on Neural Networks, ISNN 2010

作者： Zhang, Jianhua Wang, Hong Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University Beijing 102206 China University of Manchester PO Box 88 Manchester M60 1QD United Kingdom

ISBN: (纸本)9783642129896

This paper presents a control system design strategy for multi-input and multi-output (MIMO) networked control systems with random delays. The performance index of the control systems is constructed by entropies of tracking error which can be estimated by Modha's density estimator via multi-layer perceptron (MLP). Finally, a simulation example is given to illustrate the efficiency and feasibility of the proposed approach. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Networked control systems

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Network-based reliable H∞ filter designing for the systems with sensor failures

Network-based reliable H∞ filter designing for the systems ...

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作者： Lilong, Du Zhou, Gu Jinliang, Liu Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University Beijing China School of Power Engineering Nanjing Normal University Nanjing Jiangsu China College of Information Science and Technology Donghua University Shanghai China

ISBN: (纸本)9780955529337

This paper is concerned with the reliable filtering problem for network-based linear continuous-time system with sensor failures, The purpose of the addressed filtering problem is to design a filter such that the error dynamics of the filtering process is stable. By using the linear matrix inequality (LMI) method, sufficient conditions are established that ensure the filter parameters are characterized by the solution to a set of LMIs. Simulation results are provided to illustrate effectiveness of the proposed method.

关键词： Continuous time systems

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Forecasting next-day electricity prices with Hidden Markov Models

Forecasting next-day electricity prices with Hidden Markov M...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Jianhua Zhang Jingyue Wang Rui Wang Guolian Hou Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China

Next-day electricity prices forecasting is essential to consumers and producers. Due to the stochastic characteristics of the electricity price time series, a novel model of electricity price forecasting is presented based on the Hidden Markov Model (HMM). The factors impacting the electricity price forecasting are discussed. The proposed approach is utilized in an electricity market, the results show the effectiveness.

关键词： Hidden Markov models Economic forecasting Stochastic processes Predictive models technology forecasting Energy consumption Power markets Support vector machines Probability distribution Laboratories

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Bidding Strategy Based on Adaptive Particle Swarm Optimization for Electricity Market

Bidding Strategy Based on Adaptive Particle Swarm Optimizati...

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The 8th World Congress on Intelligent control and Automation(第八届智能控制与自动化世界大会 WCICA 2010)

作者： Jianhuan Zhang Yingxin Wang Rui Wang Guolian Hou Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China

In an open electricity market, generation companies (GENCO) have to optimally bid to gain more profits with incomplete information of other competing generators. In this structure, market participants must develop their bids in order to maximize their profits. Building optimal bidding strategies for GENCO could need to evaluate some market parameters such as forecasting market-clearing price (MCP), non-convex production cost function and forecasting load. A new framework to build bidding strategies for GENCO in an electricity market is presented in this paper. A normal probability distribution function (PDF) is used to describe the bidding behaviors of other competing generators. Bidding strategy of a generator for each trading period in a day-ahead market is solved by a new adaptive particle swarm optimization APSO). APSO can dynamically follow the frequently changing market demand and supply in each trading interval. A numerical example serves to illustrate the essential features of the approach and the results are compared with the solutions by other PSO algorithms.

关键词： Optimization Particle swarm optimization Generators Power generation Electricity supply industry Companies Markov processes

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Generalized predictive control for wind turbine systems

Generalized predictive control for wind turbine systems

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Jianhua Zhang Hua Wang Guolian Hou Jinfang Zhang Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China

ISBN: (纸本)9781424450459;9781424450466

It is difficult to deal with the variable speed constant frequency (VSCF) wind turbine systems due to the stochastic characteristics and the pneumatic effects of wind. In this paper, a new pitch controller based on generalized predictive control theory is designed to improve the power-output quality of variable speed constant frequency wind turbines. An application to a 300MW wind turbines is given, and simulation results show that the proposed method is effective in wind speed interference suppression and constant out power.

关键词： Predictive control Wind turbines Mathematical model Wind speed Power system modeling Rotors Shafts Wind power generation Frequency Wind energy generation

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Network-based reliable H_∞ filter designing for the systems with sensor failures

Network-based reliable H<sub>∞</sub> filter designing for t...

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2010 International Conference on Modelling, Identification and control, ICMIC 2010

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Minimum entropy filtering for networked control systems via information theoretic learning approach

Minimum entropy filtering for networked control systems via ...

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作者： Zhang, Jianhua Cai, Lei Wang, Hong Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University Beijing 102206 China North China Electric Power University Beijing 102206 China University of Manchester Manchester M60 1 QD United Kingdom

ISBN: (纸本)9780955529337

In this paper, a mmlmum entropy filter is presented for estimating states in networked control systems with multiple-packet transmission mechanism and non-Gaussian time-delay and noises. The filter is designed for nonlinear NeSs via information theoretic learning approach based on stochastic gradient algorithm. A numerical example is given to illustrate the effectiveness of the proposed scheme.

关键词： Networked control systems

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Minimum entropy filtering for networked control systems via information theoretic learning approach

Minimum entropy filtering for networked control systems via ...

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International Conference on Modelling, Identification and control (ICMIC)

作者： Jianhua Zhang Lei Cai Hong Wang Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China North China Electric Power University Beijing China University of Manchester Institute of Science and Technology Manchester UK

In this paper, a minimum entropy filter is presented for estimating states in networked control systems with multiple-packet transmission mechanism and non-Gaussian time-delay and noises. The filter is designed for nonlinear NCSs via information theoretic learning approach based on stochastic gradient algorithm. A numerical example is given to illustrate the effectiveness of the proposed scheme.

关键词： Radio access networks Noise

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