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IEEE International Symposium on Intelligent control (ISIC)

作者： Qinmin Yang S. Jagannathan Youxian Sun State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou Zhejiang China Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO USA

This paper presents a novel control methodology for the tracking control of a high-order continuous time nonlinear systems with unknown dynamics and external disturbance. The control signal consists of the robust integral of the sign of the error (RISE) feedback signal multiplied with an adaptive gain plus neural network (NN) output. The two-layer NN learns the system dynamics in an online manner while residual reconstruction errors and the external bounded system disturbances are overcome by the RISE signal. Semi-global asymptotic tracking performance is theoretically guaranteed by using the Lyapunov standard method, while the NN weights and all other signals are shown to be bounded. Further, simulations results are present to illustrate the control performance.

关键词： Artificial neural networks Approximation methods Asymptotic stability Nonlinear systems Trajectory Stability analysis Robustness

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Improved two-dimensional dynamic batch process monitoring with support vector data description

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IFAC Proceedings Volumes 2011年第1期44卷 13133-13138页

作者： Zhiqiang Ge Furong Gao Zhihuan Song State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou 310027 Zhejiang P. R. China Department of Chemical and Biomolecular engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong SAR

Abstract For dynamic batch process monitoring, a two-dimensional dynamic modeling framework has recently been formulated, which is based on a two-dimensional autoregressive model and the principal component analysis (PCA) method. Different from traditional dynamic batch process monitoring, the two-dimensional method can monitor both within batch and batch-to-batch dynamic information of the process data. However, this PCA-related method has two main restrictions, which may render poor monitoring performance in practice. First, it is under the assumption that the distribution of the process data is Gaussian. Second, the correlations between different process variables are assumed to be linear with each other. Unfortunately, both of these two assumptions are difficult to satisfy in batch processes. In this paper, support vector data description (SVDD) is incorporated into the two-dimensional modeling framework, which has no Gaussian limitation of the data, and can also model the nonlinear relationship between process variables. For dynamic batch process monitoring, a distance based statistic is proposed. Based on results of a simulation case study, the monitoring performance has been improved.

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A Constructive Procedure based on Dynamic Scaling for Adaptive control of Nonlinearly Parameterized Nonlinear systems

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IFAC Proceedings Volumes 2011年第1期44卷 120-125页

作者： Xiangbin Liu Romeo Ortega Hongye Su Jian Chu Advanced Control Systems Laboratory of School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 P. R. China. (Tel: 86-10-5168-4105) Laboratoire des Signaux et Systèmes CNRS–SUPELEC 91192 Gif–sur–Yvette France State Key Lab. of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 P. R. China

Abstract A new framework to design immersion and invariance adaptive controllers for nonlinearly parameterized, nonlinear systems was recently proposed by the authors. The key step is the construction of a monotone mapping, via a suitable selection of a controller tuning function, which has to satisfy some integrability conditions—this translates into the need to solve a partial differential equation (PDE). In this paper this result is extended providing some answers to the questions of characterization of “monotonizable” systems and solvability of the PDE. First, adding to the design a nonlinear dynamic scaling, we obviate the need to solve the PDE. Second, for the case of factorizable nonlinearities , the following results are established. (i) It is shown that the monotonicity condition is satisfied if a linear matrix inequality is feasible. (ii) Directly verifiable involutivity conditions that ensure the solution of the PDE are presented. (iii) An explicit formula for the required tuning function is given, provided the regressor matrix satisfies some rank conditions. Hence, adding a dynamic scaling, this yields a constructive solution to the problem.

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Output Feedback Adaptive Robust Learning control of a Class of Nonlinear systems with Periodic Disturbances

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IFAC Proceedings Volumes 2011年第1期44卷 4874-4879页

作者： Xiangbin Liu Zhongsheng Hou Bin Yao Hongye Su Mingxuan Sun Advanced Control Systems Laboratory School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 P. R. China. (Tel: 86-10-5168-4105) School of Mechanical Engineering Purdue University West Lafayette IN 47907 U.S.A. State Key Lab. of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 P. R. China College of Information Engineering Zhejiang University of Technology Hangzhou 310032 China

Abstract In this paper, a discontinuous projection-based output feedback adaptive robust learning control (OARLC) scheme is constructed for a class of nonlinear systems in a semi-strict feedback form by incorporating an observer and a dynamic normalization signal. Since only output signal is available for measurement, an observer is firstly designed to provide exponentially convergent estimates of the unmeasurable states. Using certain known basis functions to capture the characteristics of unknown general periodic disturbances, the discontinuous projection type adaptation law can then be used to tune the amplitudes of those basis functions on-line to recover the unknown general periodic disturbances asymptotically. The estimation errors due to the unknown initial states, uncompensated disturbances, and the uncertain nonlinearities are also effectively dealt with via certain robust feedback at each step of the proposed OARLC backstepping design. The resulting controller achieves a guaranteed transient and a prescribed final tracking accuracy for output tracking performance. In addition, when the general periodic disturbances fall within the approximation ranges of the periodic basis functions, asymptotic output tracking performance is achieved as well.

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Analysis and experiments for dual-rate beacon scheduling in ZigBee/IEEE 802.15.4

Analysis and experiments for dual-rate beacon scheduling in ...

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IEEE Conference on Computer Communications Workshops, INFOCOM Wksps

作者： Shantao Chen Luís Almeida Zhi Wang State Key Laboratory of Industrial Control Technology University of Zhejiang Hangzhou China Institute of Telecommunications DEEC-Faculty of Engineering University of Porta Porto Portugal

ISBN: (纸本)9781457702495

cyber-Physical Networked systems (CPNS) are systems that integrate a multitude of nodes that perform computations for the sake of interacting with, or controlling, a physical process. The network plays an important role in CPNS supporting the interactions among the distributed nodes that enable the collaborative work towards the application goals. Some systems, e.g., target tracking systems, require reconciling properties that are strongly influenced by the network in opposing directions. For example, it is important to maintain low energy consumption to prolong lifetime but it is also important to be reactive to event propagation for quick target detection. In the ZigBee/IEEE802.15.4 standards, the beacon-enabled mode can achieve low energy consumption by adopting low duty cycles but this causes reaction latency to events to degrade. In this paper, we carry out several experiments that validate the potential of the recently proposed dual-rate beacon scheduling method for ZigBee/IEEE802.15.4 sensor networks to accomplish a trade-off between low energy consumption and rapid events propagation. The experiments include both simulation with OPNET as well as a real test-bed built on CC2430-based nodes. The results show the impact of relevant configuration parameters and the superiority of the dual-rate beacon scheduling in providing low energy consumption and low latency in CPNS.

关键词： Delay Bismuth Energy consumption Switches Zigbee Target tracking Object detection

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The Analysis and Design of the Human Error Supervisory System for Chemical Operation Enterprise

The Analysis and Design of the Human Error Supervisory Syste...

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2011 2nd International Conference on Management Science and Engineering(MSE 2011)

作者： LIU Yi 1 2 SHEN Qin 1 1 state key laboratory of industrial control technology Zhejiang University institute of Management Science& Information Hangzhou 310027 China 2 institute of Management Science& Information Engineering Hangzhou Dianzi University Hang zhou 310018 China State Key Laboratory of Industrial Control Technology Zhejiang University Institute of Management Science & Information Institute of Management Science& Information Engineering Hangzhou Dianzi University

This paper discusses how to uses several techniques such as GIS,Radio Frequency Identification Technique,and Human Error Factor Identification Technique into the chemical Industry supervisory system f

关键词： Safety systems engineering.Geographical information system.Radio frequency identification.Human error factor identification technique

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Adaptive Failure Compensation of Hysteric Actuators in controlling Uncertain Nonlinear systems

Adaptive Failure Compensation of Hysteric Actuators in Contr...

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2011 American control Conference (ACC)

作者： Jianping Cai Changyun Wen Hongye Su Xiaodong Li Zhitao Liu Jianping Cai Hongye Su and Zhitao Liu are State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems University of Zhejiang Hangzhou China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore Beijing Research Institute of Automation For Machinery Industry Beijing China

Hysteresis nonlinearity exists in many physical actuators and actuator failures seem inevitable in practice. However, there is still no result available to compensate for failures of hysteric actuators in the design of controllers based on adaptive approaches. In this paper, we address such a problem by considering controlling a class of unknown nonlinear systems with multiple hysteric actuators. Two schemes are presented to design control signals for these actuators. Both schemes can accommodate uncertain patterns, values and time of actuator failures, in addition to system parametric uncertainties. It is shown that the designed controllers can compensate for failure and hysteresis effects of the actuators in the sense that system stability and tracking performance are maintained no matter whether this is any actuator failure or not.

关键词： Actuators Stability analysis Adaptive control Nonlinear systems Lyapunov methods Hysteresis Backstepping

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Robust Adaptive Failure Compensation of Hysteretic Actuators for Parametric Strict Feedback systems

Robust Adaptive Failure Compensation of Hysteretic Actuators...

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IEEE Conference on Decision and control

作者： Jianping Cai Changyun Wen Hongye Su Zhitao Liu Xiangbin Liu State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 P.R.China School of Electrical and Electronic Engineering Nanyang Technological University Nanyang Avenue Singapore 639798 Singapore School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 P.R.China

ISBN: (纸本)9781612848006

It is well known that hysteresis often exists and failures may occur in practical actuators during system operation. The compensation for uncertainties caused by unknown hysteresis and unknown failures is an important problem in ensuring system stability and performances. However, available results based on adaptive approaches to address such a problem are still very limited. In this paper, an adaptive tracking control scheme is proposed to solve such a problem. Simulation results also illustrate the effectiveness of the control scheme.

关键词： Feedback Hysteresis actuators Operating systems compensated System stability autocovariance air adjustment scheme Self tuning Parametric

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Planning and Dispatching of Hybrid Renewable Power System Based on Portfolio Theory

Planning and Dispatching of Hybrid Renewable Power System Ba...

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2011 2nd International Conference on Advances in Energy Engineering(ICAEE)

作者： HU Zhi YAN Zheng JIANG Wen Key Laboratory of Control of Power Transmission and Transformation Ministry of EducationDepartment of Electrical EngineeringShanghai Jiao Tong University School of Industrialand Systems EngineeringGeorgia Institute of Technology

Renewable energies are growing fast and have occupied great percentage in power ***,one major drawback of most renewable energies is the variability due to the stochastic nature of wind speed,solar irradiation,and *** is important to integrate the risk of wind power's uncertainty into profitability assessments for *** this paper,certain effective ideas from portfolio theory in financial engineering field are exploited to deal with renewable energies as risky assets to be ***'s a systematic way to neutralize risks as well as maximize return *** adjust these financial tools used to solve renewable energy's problem,some other financial models and concepts are *** Series models,ARMA(autoregressive moving average),GARCH(generalized autoregressive conditional heteroscedasticity) and PSO(particle swarm optimization) algorithm are utilized to modify data to be real-time *** function is introduced to evaluate different energy *** paper is abundant with interdisciplinary ideas using advanced risk management methods on renewable energy *** proposed approach is also applied in real world problem to provide consulting evidence for power system planning and dispatching in Gansu province,northwest of China.

关键词： Portfolio Theory Renewable Energy Risk Management Utility Function ARMA-GARCH PSO

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Robust stabilization for networked control systems with nonlinear perturbation

Robust stabilization for networked control systems with nonl...

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Chinese control Conference (CCC)

作者： Jinfeng Gao Xinlong Zhao Jianjun Bai Hongye Su Institute of Automation Zhejiang Sci-Tech University Hangzhou 310018 China State Key Laboratory of Industrial Control Technology Zhejiang University Yuquan Campus Hangzhou 310027 China

This note discusses the problem of stabilization for a class of uncertain networked control systems(NCSs) with nonlinear perturbation. By introducing a new model of NCSs with parameter uncertainty, network-induced delay, nonlinearity and data packet dropout in the transmission, a strict linear matrix inequality (LMI) criterion is presented for robust stabilization the uncertain nonlinear NCSs based on the Lyapunov stability theory. The maximum upper bound of the allowable delay can be obtained by solving the convex optimization problem of the corresponding LMI. Numerical example is provided to demonstrate the applicability and feasibility of the proposed algorithm.

关键词： Robustness Delay Stability analysis Networked control systems Uncertainty Sensors

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