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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Hua Xu Gang Rong Yiping Feng Department of control science and engineering State key laboratory of industrial control technology Institute of cyber-systems and control Hangzhou P.R. China

In this work, we propose a simplified least squares formulation (SLSF) for dynamic material balancing in chemical processes, which are often described by differential-algebraic equations. We compare the SLSF with traditional techniques, such as steady state data reconciliation (SSDR) and Kalman filter (KF). We also modify the SLSF when its assumptions can't be totally satisfied in some practical settings. Using chemical systems examples, we demonstrate that the SLSF can well deal with the practical dynamic material balancing problems.

关键词： Materials Mathematical model Equations Covariance matrix Kalman filters Noise Vectors

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A nussbaum technique for unknown time-varying control direction with switching sign

A nussbaum technique for unknown time-varying control direct...

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作者： Yang, Zaiyue State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University China Dept. of Applied Mathematics Hong Kong Polytechnic University Hong Kong

ISBN: (纸本)9787894631046

In this paper, a robust control approach is proposed for a class of nonlinear systems that contain both nonlinear dynamics uncertainty and an unknown time-varying control direction, which is the multiplier of the control term. In particular, the unknown control direction is allowed to switch its sign for an unlimited number of times. A new Nussbaum gain is designed and integrated with robust controller to tackle the sign-switching unknown control direction. It is proven that the proposed control approach can yield asymptotic convergence and guarantee the boundedness of the closed-loop signals.

关键词： Robust control

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Congestion avoidance, detection and alleviation in wireless sensor networks

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Journal of Zhejiang University-Science C(Computers and Electronics) 2010年第1期11卷 63-73页

作者： Wei-wei FANG Ji-ming CHEN Lei SHU Tian-shu CHU De-pei QIAN Sino-German Joint Software Institute School of Computer Science Beihang University Beijing 100191 China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 31002 7 China Digital Enterprise Research Institute National University of Ireland Galway Ireland

Congestion in wireless sensor networks (WSNs) not only causes severe information loss but also leads to excessive energy consumption. To address this problem, a novel scheme for congestion avoidance, detection and alleviation (CADA) in WSNs is proposed in this paper. By exploiting data characteristics, a small number of representative nodes are chosen from those in the event area as data sources, so that the source traffic can be suppressed proactively to avoid potential congestion. Once congestion occurs inevitably due to traffic mergence, it will be detected in a timely way by the hotspot node based on a combination of buffer occupancy and channel utilization. Congestion is then alleviated reactively by either dynamic traffic multiplexing or source rate regulation in accordance with the specific hotspot scenarios. Extensive simulation results under typical congestion scenarios are presented to illuminate the distinguished performance of the proposed scheme.

关键词： Wireless sensor network （WSN） Congestion control Correlation Traffic multiplexing Rate regulation

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Robust Exponential Stability of Uncertain Singular Markovian Jump Time-delay systems

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Acta Automatica Sinica 2010年第4期36卷 558-563页

作者： Zheng-Guang WU Hong-Ye SU Jian CHU National Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 P. R. China

Abstract In this paper, the problem of delay-dependent robust exponential stability is investigated for uncertain singular Markovian jump systems with time delay. A delay-range-dependent condition is given which ensures that the nominal system is regular, impulse free, and mean-square exponentially stable in terms of linear matrix inequality (LMI) approach. The criterion is also extended to uncertain case. Numerical examples are given to show that the proposed criteria improve the existing results.

关键词： Singular systems Markovian jumping parameters time delay exponential stability linear matrix inequality (LMI)

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Statistical modeling angular dynamics for model-scale helicopter

Statistical modeling angular dynamics for model-scale helico...

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International Conference on control and Automation (ICCA)

作者： Fei, Liu Ping, Li Shirong, Liu Institute of Automation Hangzhou Dianzi University Zhejiang 310018 China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9781424451951

In this paper, the procedure and results of modeling angular dynamics of a miniature helicopter in hover is presented using both mechanism reasoning and information from flight test data. The goal is to derive an angular dynamical model that is simple and sufficient accurate to be used for advance flight control. The initial model structure is derived from mechanism reasoning based on a strong simplifying assumption. Afterwards, backward stepwise regression is carried out to refine the model structure and estimate the coefficients. The accuracy of the developed model is examined by comprehensive comparison between model response and experimental data. If the tests fail to validate the model's reliability, a less restrictive assumption would be proposed according to the analysis of the test result and the whole modeling procedure would be carried out again until a satisfactory model is derived. This systematic procedure is proved to be effective in modeling MUH's angular dynamics. © 2010 IEEE.

关键词： Reliability analysis

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A Comparison of Arithmetic Operations for Dynamic Process Optimization Approach

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Chinese Journal of Chemical Engineering 2010年第1期18卷 80-85页

作者：洪伟荣谭鹏程王树青 Pu Li Institute of Process Equipment Zhejiang University Hangzhou 310027 China Institute of Cyber-System and Control State Key Lab of Control Technology Zhejiang University Hangzhou310027 China Institute of Automation and Systems Engineering Ilmenau University of Technology Ilmenau 98684 Germany

A comparison of arithmetic operations of two dynamic process optimization approaches called quasi-sequential approach and reduced Sequential Quadratic Programming(rSQP)simultaneous approach with respect to equality constrained optimization problems is *** the detail comparison of arithmetic operations,it is concluded that the average iteration number within differential algebraic equations(DAEs)integration of quasi-sequential approach could be regarded as a *** formula is given to calculate the threshold value of average iteration *** the average iteration number is less than the threshold value,quasi-sequential approach takes advantage of rSQP simultaneous approach which is more suitable *** optimal control problems are given to demonstrate the usage of threshold *** optimal control problems whose objective is to stay near desired operating point,the iteration number is usually ***,quasi-sequential approach seems more suitable for such problems.

关键词： dynamic optimization arithmetic operation comparison quasi-sequential approach simultaneous approach

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Nonlinear Model Predictive control with the Integration of Support Vector Machine and Extremal optimization

Nonlinear Model Predictive Control with the Integration of S...

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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： Peng Chen Yong-Zai Lu Department of Automation Shanghai Jiaotong University Shanghai 200240 P.R.China State Key Laboratory of Industrial Control Technology & Institute of Cyber-Systems and Control Zheji

In nonlinear model predictive control (NMPC), the system performance is greatly dependent upon the accuracy of the predictive model and the efficiency of the online optimization algorithm. In this paper, a novel NMPC scheme with the integration of Support Vector Machine (SVM) and recently proposed general-purpose heuristic “Extremal Optimization (EO)” is presented. With the superior features of self-organized criticality (SOC), non-equilibrium dynamics, coevolutions in statistical mechanics and ecosystems respectively, a carefully designed EO based on “horizon based mutation strategy” is used as an online solver to obtain optimal future control inputs of NMPC, in which a multi-step-ahead SVM predictive model is employed. Furthermore, simulation studies on a typical nonlinear system are given to illustrate the effectiveness of the proposed control scheme.

关键词： Predictive models Optimization Support vector machines Predictive control Computational modeling Biological system modeling

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Robust ℋ221E;control of networked control systems with access constraints and packet dropouts

Robust ℋ221E;control of networked control systems with acce...

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International Conference on Green Circuits and systems (ICGCS)

作者： Dongxiao Wu Jun Wu Sheng Chen State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control University of Zhejiang Hangzhou China School of Electronics and Computer Science University of Southampton Southampton UK

We consider a class of networked control systems (NCSs) where the plant has time-varying norm-bounded parameter uncertainties, the network only provides a limited number of simultaneous accesses for the sensors and actuators, and the packet dropouts occur randomly in the network. For this class of NCSs with uncertainties and access constraints as well as packet dropouts, we derive sufficient conditions in the form of linear matrix inequalities that guarantee robust stochastic stabilisation and synthesis of ℋ ∞ controller. An example is provided to illustrate our proposed method.

关键词： Robustness Networked control systems Time varying systems Uncertain systems Sensor systems Actuators Uncertainty Sufficient conditions Linear matrix inequalities Robust control

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Mining Fuzzy Association Rules in Data Streams

Mining Fuzzy Association Rules in Data Streams

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2010 2nd International Conference on Computer Engineering and technology(2010年第二届计算机工程与技术国际会议 ICCET 2010)

作者： Peng Chen Hongye Su Lichao Guo Yu Qu State Key Lab. of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang UniversityHangzhouP. R. China

ISBN: (纸本)9781424463473;9781424463497;9781424463503

Many algorithms have been proposed for mining fuzzy association rules in static datasets with quantitative attributes. However,there is few study on mining fuzzy association rules in data streams. This paper presents an algorithm FFI_Stream for fuzzy association rules mining in data streams. Efficient techniques are presented to find fuzzy association rules in data streams using time based sliding window model. The clustering technique is used to find the fuzzy sets. Membership Function Bias measure (MFB_measure) is introduced to evaluate the membership function in each sliding window. Selectively Updating Mechanism (SUM) and Projected Summaries (PS) are proposed to update the fuzzy sets dynamically. Then, experiments are carried out on both synthetic and real life datasets. The results show that the algorithm is effective and efficient.

关键词： Fuzzy association rules mining:data stream change detection:membership function:sliding window

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Parameter-dependent controller design for electro-hydraulic servo system

Parameter-dependent controller design for electro-hydraulic ...

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International Conference on Intelligent control and Information Processing (ICICIP)

作者： Falu Weng Weijie Mao Bo Liang Jiangxi University of Science and Technology Jiangxi China State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control University of Zhejiang Hangzhou China AQSIQ Information center BeiJing China

This paper is concerned with the problem of robust controller design for electro-hydraulic servo systems driven by double-rod hydraulic actuators. Firstly, by introducing a linear varying parameter, an electro hydraulic servo system is described as a linear parameter varying(LPV) model. Secondly, based on this LPV model and a parameter-dependent Lyapunov approach, two parameter-dependent controllers are established for the stabilization and tracking problems, respectively. The obtained controllers are simple and their gains can vary with the parameter measured online. Finally, the numerical simulations demonstrate the satisfactory performance of the proposed controllers.

关键词： Robustness Servomotors Symmetric matrices Valves Mathematical model Adaptation model Numerical models

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