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Chinese Journal of Mechanical Engineering 2000年第2期13卷 90-95页

作者： Gao Meimei Wu Zhiming (Department of automation, shanghai jiaotong university) 上海交通大学上海

As the main component of computer integrated manufacturing system (CIMS), flexible manufacturing system (FMS) should be an open system with reusability and extenchaility. Moreover, as FMS is a complex asynchronous concurrent system, its model also should have the abilities to express the concurrency in the system and to analyze the behavior of the system. It is difficult to use any one method to model such a complex system as FMS. A modeling method using Object-oriented modeling language-unified modeling language (UML) and object-Oriented Petri nets (OPNs) is proposed. Class diagram in UML is used to represent the static relations among the objects in FMS. OPNs are used to model the dynamic behavior of the objects and conduct performance analysis. OPNs also can be used to identify the attributes and operations of the objects. The model can describe the system integrally and can be used to design FMS control software naturally.

关键词： Flexible manufacturing system Modeling Object-oriented model Unified modeling language Object-oriented Pert nets (Opens)

NONLINEAR MODELING AND controlLING OF ARTIFICIAL MUSCLE SYSTEM USING NEURAL NETWORKS

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Chinese Journal of Mechanical Engineering 2004年第2期17卷 306-310页

作者： Tian Sheping Ding Guoqing Yan Detian Lin Liangming Department of Information measurement and Instrumentation,shanghai jiaotong university,shanghai 200030, China Department of Information measurement and Instrumentation Shanghai Jiaotong University 上海 200030

The pneumatic artificial muscles are widely used in the fields of medicalrobots, etc. Neural networks are applied to modeling and controlling of artificial muscle system. Asingle-joint artificial muscle test system is designed. The recursive prediction error (RPE)algorithm which yields faster convergence than back propagation (BP) algorithm is applied to trainthe neural networks. The realization of RPE algorithm is given. The difference of modeling ofartificial muscles using neural networks with different input nodes and different hidden layer nodesis discussed. On this basis the nonlinear control scheme using neural networks for artificialmuscle system has been introduced. The experimental results show that the nonlinear control schemeyields faster response and higher control accuracy than the traditional linear control scheme.

关键词： Artificial muscle Neural networks Recursive prediction error algorithm Nonlinear modeling and controlling

Robust On-Line Fault Diagnosis for Nonlinear Difference-Algebraic Systems Using Least Squares Estimate

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Journal of Systems Engineering and Electronics 2002年第2期13卷 50-59页

作者： Chen Yudong, Weng Zhengxin & Shi SongjiaoInstitute of automation, shanghai jiaotong university, shanghai 200030, P.R. China(Received April 9,2001) Institute of automation Shanghai jiaotong University Shanghai 200030 P. R. China

A robust on-line fault diagnosis methor based on least squares estimate for nonlinear difference-algebraic systems (DAS) with uncertainties is proposed. Based on the known nominal model of the DAS, this method firstly constructs an auxiliary system consisting of a difference equation and an algebraic equation, then, based on the relationship between the state deviation and the faults in the difference equation and the relationship between the algebraic variable deviation and the faults in algebraic equation, it identifies the faults on-line through least squares estimate. This method can not only detect, isolate and identify faults for DAS, but also give the upper bound of the error of fault identification. The simulation results indicate that it can give satisfactory diagnostic results for both abrupt and incipient faults.

关键词： Difference equations Least squares approximations Robustness (control systems) Sensitivity analysis

Fixed-Order l_1-control for Systems with Time-Delay

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Journal of Systems Engineering and Electronics 2000年第3期11卷 40-52页

作者： Liu Yungang, Shi Songjiao & Qin Bin (Dept. of automation, shanghai jiaotong university, 200030, P. R. China) Dept. of automation Shanghai Jiaotong University 200030 P. R. China

In this paper, fixed-order l1-control for systems with time-delay is studied, and sufficient conditions for solvability of state-feedback l1-control and dynamic output-feedback l1-control are obtained. This paper also gives the forms of solution to l1-controller. In the paper, the problem is not cast into infinite dimensional constrained convex optimal problem, but an upper bound of l1-norm is optimized. Although the l1-control is sub-optimal, the analysis and design are simple. The result of the paper improves and develops the l1-control method.

关键词： Time-delay systems l1-control State feedback Dynamic output-feedback Linear matrix inequality (LMI).

Relay Feedback Based Autotuning PID control of Paper Basis Weight in Paper Making Process

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Journal of Systems Engineering and Electronics 2003年第1期14卷 63-69页

作者： Tang Wei, Shi Songjiao & Wang MengxiaoDept. of automation, shanghai jiaotong university, shanghai 200030, P. R. China Dept. of automation, Northwest Institute of Light Industry, Xianyang 712081, P. R. China Dept. automation Jiaotong University Shanghai 200030 P. R. China Dept. of automation Northwest Institute of Light Industry. Xianyang 712081. P. R. China Dept. of automation Northwest Institute of Light Industry. Xianyang 712081. P. R. China

The brief arts and crafts of the ordinary fourdrinier are introduced first. After the intractable points of paper basis weight (BW) control are analyzed, an autotuning PID/PI control algorithm based on relay feedback identification is proposed, which has such advantages as simple parameter adjustment, little dependence on process model, strong robustness and easiness to implementation. And it is very suitable for controlling such processes as BW loop with large time delay.

关键词： Paper basis weight Time delay process Autotuning PID Relay feedback identification.

Flow control Strategy for the High Speed Network Based on control Theory

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Journal of Systems Engineering and Electronics 2002年第2期13卷 45-49页

作者： Sun Peng, Zhang Haoran & Han ZhengzhiDept. of automation, Intelligent Engineering Laboratory, shanghai jiaotong university, shanghai 200030, P.R.China(Received July 9, 2001) Dept. of automation Intelligent Engineering Laboratory Shanghai Jiaotong University Shanghai 200030 P. R. China

Design of an effective congestion control scheme is a hot topic in the development of compute network. The flow control scheme can adjust the packet sending rate in source host, thus effectively avoiding the network congestion. This paper proposes a flow control scheme based on discrete control theory. The simulation results show that this method can adjust the sending rate and queue level in buffer rapidly and effectively. The method is easy to implement and applicable to high speed networks.

关键词： Algorithms Buffer storage Congestion control (communication) Packet switching

On-Line Tuning Scheme for the Generalized Predictive controller via Simulation Optimization

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Journal of Systems Engineering and Electronics 2003年第2期14卷 57-62页

作者： Li Shaoyuan Institute of automation, shanghai jiaotong university, shanghai 200030, P. R. China Institute of automation Shanghai Jiaotong University Shanghai 200030 P. R. China

Predictive control has recently received much attention from researchers. However a challenging problem to be solved is how to tune the parameters of the predictive controller. So far, only few guidelines related to tuning of the parameters of predictive controllers have been provided in literature. In practice, these parameters are generally off-line determined by the designers' experience. From the point of view of process control, it is difficult to find out the optimal parameters for the control system based on a single quadratic performance index, which is used in the standard predictive control algorithm. The fuzzy decision-making function is investigated in this paper. Firstly, M control actions are achieved by unconstrained predictive control algorithm, and fuzzy goals and fuzzy constraints are then calculated and the global satisfaction degree is obtained by fuzzy inference. Moreover, the weighting coefficient λ in the cost function is tuned using simulation optimization according to the fuzzy criteria.

关键词： Predictive control Simulation optimization Fuzzy decision-making.

Dissipative control of the State Delayed Systems

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Journal of Systems Science and Systems Engineering 2001年第2期13卷 203-209页

作者： FU Yu-sun, TIAN Zuo-hua, SHI Song-jiaoDepartment of automation, shanghai jiaotong university, shanghai 200030, China Department of automation Shanghai Jiaotong UniversityShanghai 200030 China

In this note, the dissipative control problem of the general quadratic supply rate for state delayed systems is considered. A systematic approach is used in this work so that a sufficient condition on the existence of a delay-independent state feedback controller is given. In addition, a sufficient condition on the existence of a delay-dependent state feedback is presented. Our solutions are expressed in terms of matrix inequalities that can be solved by numerical method. The delay-dependent controller might be less conservative than the delay-independent one in the sense that the delay-dependent case may have a solution for a larger class of systems than that for delay-independent case.

关键词： dissipative control state delayed system matrix inequality

Grey Markov chain and its application in drift prediction model of FOGs

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Journal of Systems Engineering and Electronics 2005年第2期16卷 388-393页

作者： Fan Chunling 1,2 , Jin Zhihua1, Tian Weifeng1 & Qian Feng11. Department of Information measurement Technology and Instrument, shanghai jiaotong university,shanghai 200030, P. R. China 2. College of automation and Electric Engineering, Qingdao university of Science and Technology,Qingdao 266042, P. R. China Department of Information measurement Technology and Instrument Shanghai Jiaotong University Shanghai 200030 P. R. China College of automation and Electric Engineering Qingdao University of Science and Technology Qingdao 266042 P. R. China

A novel grey Markov chain predictive model is discussed to reduce drift influence on the output of fiber optical gyroscopes (FOGs) and to improve FOGs' measurement precision. The proposed method possesses advantages of grey model and Markov chain. It makes good use of dynamic modeling idea of the grey model to predict general trend of original data. Then according to the trend, states are divided so that it can overcome the disadvantage of high computational cost of state transition probability matrix in Markov chain. Moreover, the presented approach expands the applied scope of the grey model and makes it be fit for prediction of random data with bigger fluctuation. The numerical results of real drift data from a certain type FOG verify the effectiveness of the proposed grey Markov chain model powerfully. The Markov chain is also investigated to provide a comparison with the grey Markov chain model. It is shown that the hybrid grey Markov chain prediction model has higher modeling precision than Markov chain itself, which prove this proposed method is very applicable and effective.

关键词： grey model Markov chain FOG drift.