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Approach to nonlinear predictive functional control using wiener models

Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and technology Edition) 2011年第SUPPL. 1期41卷 264-269页

作者： Chen, Jin-Dong Zhang, Xiang-Sheng Pan, Feng Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi 214122 China

The traditional predictive function control (PFC) can't control the nonlinear and changeful object effectively;a nonlinear PFC approach based on Wiener model was developed. Support vector machine regression (SVMR) was applied to model the inverse of nonlinear part of Wiener models, add this model to output feedback and reference trajectory route. The nonlinear control problem was simplified to a linear one by using the inverse of nonlinearity, and complicated nonlinear optimization was avoided. The simulation results of pH neutralization process show that this approach is more effective than PID, and is robust to model mismatch.

关键词： Inverse problems

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Integrated model of a hot rolling mill based finite element analysis and neural networks

Beijing Keji Daxue Xuebao/Journal of University of Science a...

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Beijing Keji Daxue Xuebao/Journal of University of Science and technology Beijing 2011年第2期33卷 221-226页

作者： Hu, Chang-Bin Tong, Chao-Nan Peng, Kai-Xiang Key Laboratory of the Ministry of Education of China for Advanced Control of Iron and Steel Process University of Science and Technology Beijing Beijing 100083 China

According to production data of a 1580 rolling mill, an integrated method combining finite element analysis and neural networks was presented for hot rolling. In the method, plastic deformation during the rolling process was firstly modeled by a finite element method, and then a neural network provided parameter adjustment for the finite element model, so the integrated model had the advantages of neural network and finite element methods. At the same time, intelligent chaos particle swarm optimization (CPSO) was used to optimize weights and thresholds of the network. A comparison between simulation results and actual production data proved the validity of the integrated model.

关键词： Finite element method

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Output tracking of Markovian jumping systems via error feedback regulation

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IFAC Proceedings Volumes 2011年第1期44卷 2424-2429页

作者： Shuping He Zhengtao Ding Fei Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi 214122 P. R.China Control Systems Centre School of Electrical and Electronic Engineering University of Manchester Manchester M60 1QD UK

Abstract This paper studies the output tracking problem of continuous-time Markovian jumping systems (MJSs) via error feedback scheme. With the extension of output regulation to MJSs, sufficient conditions are obtained based on stochastic Lyapunov-Krasovskii functional. The resulting closed-loop system is guaranteed to be stochastically stable and the output tracking is achieved almost asymptotically. Moreover, the output regulation error almost asymptotically converges to zero. In order to ensure the relaxed solutions of the regulation equations, we described the problem as a semi-definite optimization approach via disciplined convex programming. Simulation result is also given to illustrate the performance and effectiveness of the proposed approach.

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Impulsive synchronization of two nonidentical chaotic systems with time-varying delay

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Physics Letters A 2011年第3期375卷 498-504页

作者： Wangli He Feng Qian Jinde Cao Qing-Long Han The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Centre for Intelligent and Networked Systems Central Queensland University Rockhampton QLD 4702 Australia School of Information and Communication Technology Central Queensland University Rockhampton QLD 4702 Australia Department of Mathematics Southeast University Nanjing 210096 China

This Letter investigates synchronization of two nonidentical Lur'e systems with time-varying delay and parameter mismatches via impulsive control. Based on the theory of impulsive functional differential equations, sufficient conditions for impulsive synchronization with a bound on the synchronization error are derived. An illustrative example is provided to validate the proposed method.

关键词： Impulsive synchronization Impulsive control Nonidentical chaotic systems Time-varying delay

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Independent innovation capability evaluation and analysis on wanjiang city-zone

Independent innovation capability evaluation and analysis on...

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International Conference on Computer Science and Service System (CSSS)

作者： Dengzhou Zhang Yuanyuan Gao Zhanglin Peng School of Management Hefei University of Technology Hefei China finance Department China electronics technology group corporation Beijing China Institute of Computer Network System Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

As the capacity of independent innovation is a vital measure standard for the success of a city's construction, the goal of this paper is to analyze and comment it. In order to make the research result more objective and precise, a system of evaluating indicator which includes the ability of innovation input, management, guarantee and output has been established. Moreover, by using the method of Principal Component Analysis, the capacity for independent innovation of nine cities in the Wanjiang city-region is clearly realized. Finally, hoping that this paper would be helpful to the construction of Wanjiang city-region for industrial transfer and provide a policy basis for the macroscopic readjustment and control as well as management.

关键词： Technological innovation Cities and towns Security Economic indicators Industries Appraisal Finance

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Iterative learning control of nonlinear system with state and control time delay

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Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and technology 2011年第SUPPL. 1期35卷 191-195页

作者： Ding, Bao Tao, Hong-Feng Yang, Hui-Zhong Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University Wuxi 214122 China Shanghai Key Laboratory of Power Station Automation Technology Shanghai 200072 China

For nonlinear systems with state and control time delays in actual industrial processes, which have the initial deviation and disturbances of output errors, a PID-type iterative learning control algorithm for repetitive nonlinear time-varying systems with any desired outputs and bounded disturbances is investigated. By using the memories of the desired trajectories, control and tracking error expectations in the processes of iterative learning, the learning controller is designed with the variable batches of forgetting factors. Based on the λ norm theory and the Bellman-Gronwall inequality, the necessary and sufficient conditions for the existence of the learning gain are discussed, and the convergence of the control algorithm is analyzed to ensure that the batch error of the closed-loop tracking system is bounded. The robustness and dynamic performances of the system are improved. The simulation of the motion control of the single-joint robot arm illustrates the effectiveness of the proposed algorithm.

关键词： Time delay

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Estimator design of networked control systems with multi-quantized output feedback

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Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and technology) 2011年第SUPPL. 1期42卷 333-338页

作者： Liu, Jun Xie, Lin-Bo Huang, Fang Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Institute of System Engineering Jiangnan University Wuxi 214122 China

The estimator design of discrete-time networked control systems with multi-quantized output feedback is concerned. First, the system model and the estimate model of multi-quantized network control system with two quantizers are given, respectively. Then the asymptotic invariance of the covariance matrix about the estimation error system is studied, and some corresponding conclusions are obtained. The estimator error is made minimum by the designed state estimator. At last, a numerical example is given to illustrate the effectiveness of the estimator.

关键词： Feedback

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optimization research of genetic neural network based on Scilab

Optimization research of genetic neural network based on Sci...

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IEEE International Workshop on Open-source Software for Scientific Computation (OSSC)

作者： Baoyong Zhao Yingjian Qi Xing Tao School of Automation & Electrical Engineering University of Science and Technology Beijing Beijing China Key Laboratory of Advanced Control for Iron and Steel Process Ministry of Education China Science School Communication University of China Beijing China Beijing Research Center of Urban System Engineering Beijing China

ISBN: (纸本)9781612844923

Radial basis function (RBF) network is one of the significant neural networks. It has been used successfully in various fields. But in RBF network approximation algorithm, the initial value of the network weights, Gauss function center vector and broad-based vector is not easy to determine, and when these parameter choice is undeserved, RBF network approximation precision will decline and even the serious consequences of network spread will be produced. By using genetic algorithm in this paper, which can better realize RBF network parameter optimization, thereby increasing the accuracy of approximation. Scilab is open source software and has good simulation capabilities. Experiments using Scilab shows that the optimization method of genetic neural network is feasible and results are satisfied.

关键词： Genetic algorithms Radial basis function networks optimization Approximation methods Vectors Biological cells Genetics

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Modified recursive partial least squares algorithm with application to modeling parameters of ball mill load

Modified recursive partial least squares algorithm with appl...

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作者： Tang, Jian Zhao, Lijie Yu, Wen Chai, Tianyou Yue, Heng Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern University Shenyang 110004 China College of Information Engineering Shenyang University of Chemical Technology Shenyang110142 China Departamento de Control Automatico CINVESTAV-IPN Av.IPN 2508 México D.F. 07360 Mexico Research Center of Automation Northeastern University Shenyang 110004 China

ISBN: (纸本)9789881725592

Recursive partial least squares (RPLS) regression is effectively used in process monitoring and modeling to deal with the stronger collinearity of the process variables and slow time-varying property of industrial processes. Aim at the RPLS cannot solve the modeling speed and the accuracy problems effectively, a modified sample-wise RPLS algorithm is proposed in this paper. It updates the PLS model according to the process status. We use the approximate linear dependence (ALD) condition to check each new sample. The model is reconstructed recursively such that the new samples satisfy the ALD condition. Experimental study on modeling parameters of ball mill load shows that the proposed modified RPLS algorithm is computationally faster, and the modeling accuracy is higher than conventional RPLS for the time-varying process. © 2011 Chinese Assoc of Automati.

关键词： Parameter estimation

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Case-based safety assessment of thermal power plants: A framework

Case-based safety assessment of thermal power plants: A fram...

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International Conference on Business Management and Electronic Information (BMEI)

作者： Changyong Liang Dongxiao Gu Isabelle Bichindaritz Chunrong Zuo Fei Cheng School of Management Hefei University of Technology Hefei Anhui China Research Center of Intelligent Decision Making and Information System Technologies Ministry of Education of China Hefei Anhui China Department of Computer Science University of Illinois Chicago Chicago IL USA Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education of China Hefei Anhui China Institute of Technology University of Washington Tacoma WA USA

Security assessment of Thermal Power Plants (TPPs) is one of the important means to guarantee the safety of production in thermal power production enterprises. Essentially, the evaluation of power plant systems relies to a large extent on the knowledge and length of experience of the experts. Therefore in this domain Case-Based Reasoning (CBR) is introduced for the security assessment of TPPs since this methodology models expertise through experience management. Taking the management system of TPPs as breakthrough point, this paper presents a case-based approach for the security assessment decision support of TPPs (SATPP). First, this paper reviews commonly used approaches for TPPs security assessment and the current general evaluation process of TPPs security assessment. Then a framework for the Management System Security Assessment of Thermal Power Plants (MSSATPP) is constructed and an Intelligent Decision Support System for MSSATPP (IDSS-MSSATPP) is functionally designed. MSSATPP involves several key technologies and methods such as knowledge representation and case matching.

关键词： Security Safety Production Power generation Power systems Decision making Indexes

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