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International Symposium on Applied Computational Intelligence and Informatics ( SACI)

作者： Radu-Emil Precup Levente Kovács Tamás Haidegger Stefan Preitl Adalbert Kovács Balázs Benyó Endre Borbély Zoltán Benyó Department of Automation and Applied Informatics Polytechnic University of Timisoara Timisoara Romania Department of Control Engineering and Information Technology Budapest University슠of슠Technology슠and슠Economics Budapest Hungary Department of Mathematics Polytechnic University of Timisoara Timisoara Romania Kandó Kálmán Faculty Óbuda University Budapest Hungary

Telesurgery means the remote application of interventional medical techniques; a concept that is currently widely practiced around the world for short distance through master-slave robot systems. The concept has the potential to service long distance telesurgery as well. However, this requires the effective handling of communication latency. The current paper suggests a fuzzy control solution for telesurgical applications aiming at the alleviation of the disturbing effects of large latencies with the concept of remote surgical robotics. The fuzzy control solution is supported by a cascade control system structure with two proportional-integral-derivative (PID) controllers in the inner and outer control loops and designed by Kessler's Extended Symmetrical Optimum empirical criteria. The PID controller in the outer loop is next replaced by Takagi-Sugeno-Kong PID-fuzzy controllers which combine several separately designed PID controllers. The combination of separately designed PID controllers and the modal equivalence principle are expressed as a design and tuning method of the Tagaki-Sugeno-Kong PID-fuzzy controllers.

关键词： control systems Tuning Fuzzy control Robots Delay effects Design methodology Humans

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A discrete event-triggered communication scheme for networked T-S fuzzy systems

A discrete event-triggered communication scheme for networke...

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Annual Conference of Industrial Electronics Society

作者： Chen Peng Qing-Long Han Dong Yue School of Electrical and Automation Engineering Nanjing Normal University Nanjing Jiangsu China Centre of Intelligent and Networked Systems Central Queensland University Rockhampton QLD Australia Centre of Intelligent and Networked Systems School of Information and Communication Technology Central Queensland University Rockhampton QLD Australia Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

This paper presents a discrete event-triggered communication scheme for a class of networked Takagi-Sugeno (T-S) fuzzy systems. This scheme has two main features: i) whether or not the sampled state should be transmitted is determined by the current sampled state and the error between the current sampled state and the latest transmitted state, and ii) it is a discrete event-triggered communication scheme since the triggered conditions are measured and checked at the discrete sampling instant. Next, an asynchronous networked T-S fuzzy model is delicately constructed, which not only includes the state error, but also considers the non-uniform time scales in the networked T-S fuzzy model and the parallel distributed compensation fuzzy control rules. Then, using the Lyapunov-Krasovskii functional techniques, two sufficient conditions are derived for system analysis and synthesis, respectively. In particular, the derived stabilization criterion can provide a tradeoff to balance the required communication resources and the desired performance. Finally, a numerical example is given to show the effectiveness of the proposed method.

关键词： Fuzzy systems Current measurement Delay Educational institutions control systems Stability analysis Measurement uncertainty

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KPCA Based Multi-Spectral Segments Feature Extraction and GA Based Combinatorial Optimization for Frequency Spectrum Data Modeling

KPCA Based Multi-Spectral Segments Feature Extraction and GA...

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IEEE Conference on Decision and control

作者： Jian Tang Tianyou Chai Wen Yu Lijie Zhao S. Joe Qin State Key Laboratory of Synthetical Automation for Process Industries (Northeastern University) Shenyang China Departamento de Control Automatico CINVESTAV-IPN Mexico City Mexico College of Information Engineering Shenyang University of Chemical Technology China The Mork Family Department of Chemical Engineering and Materials Science Ming Hsieh Department of Electrical Engineering University of Southern California Los Angeles CA 90089

ISBN: (纸本)9781612848006

Mill load (ML) estimation plays a major role in improving the grinding production rate (GPR) and the product quality of the grinding process. The ML parameters, such as mineral to ball volume ratio (MBVR), pulp density (PD) and charge volume ratio (CVR), reflect the load inside the ball mill accurately. The relative amplitudes of the high-dimensional frequency spectrum of shell vibration signals contain the information about the ML parameters. In this paper, a kernel principal component analysis (KPCA) based multi-spectral segments feature extraction and genetic algorithm (GA) based Combinatorial optimization method is proposed to estimate the ML parameters. Spectral peak clustering algorithm based knowledge is first used to partition the spectrum into several segments with their physical meaning. Then, the spectral principal components (PCs) of different segments are extracted using KPCA. The candidate input features are serial combinated with mill power. At last, GA with Akaike's information criteria (AIC) is used to select the input features and the parameters for the least square-support vector machine (LS-SVM) simultaneously. Experimental results show that the proposed approach has higher accuracy and better predictive performance than the other normal approaches.

关键词： Vibrations Feature extraction Sensors Acoustics Optimization Kernel Support vector machines

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Feature referenced tip localization enhanced by probability motion model for AFM based nanomanipulations

Feature referenced tip localization enhanced by probability ...

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IEEE International Conference on Robotics and Biomimetics

作者： Shuai Yuan Lianqing Liu Zhidong Wang Ning Xi Yuechao Wang Zaili Dong Zhiyu Wang Zhibo Wang College of Information & Control Engineering of Shenyang Jianzhu University State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Department of Advanced Robotics Chiba Institute of Technology Department of Electrical and Computer Engineering Michigan State University

ISBN: (纸本)9781457721366

The spatial uncertainties of tip positioning due to the nonlinearity of the PZT scanner and thermal drift hinder the further application of the AFM based nanomanipulation. This paper brings forward feature referenced tip localization enhanced by probability motion model to reduce the spatial uncertainties. An improved motion model is probabilistically built by incorporating the PI model, the creep model and the thermal drift model. For calibrating the accurate model parameters, the statistical experiments are designed and performed. Then the tip position is optimally estimated by combining with a local scan based feature sensing method. The simulation and corresponding experiments are performed to illustrate the validity and feasibility of the calibrated parameters and the algorithm.

关键词： Atomic Force Microscopy terminal interface processor nonlinearity based model parameters Drift models

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The normal numbers of the fuzzy systems and their classes

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Science China(information Sciences) 2010年第11期53卷 2215-2229页

作者： LI HongXing1,3, YUAN XueHai1, WANG JiaYin2 & LI YuCheng3 1faculty of Electronic information and electrical engineering, Dalian University of technology, Dalian 116024, China 2School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China 3department of automation, North China University of technology, Beijing 100144, China Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian China Department of Automation North China University of Technology Beijing China School of Mathematical Sciences Beijing Normal University Beijing China

R-fuzzy set is defined in this paper, which is regarded as the generalization of the Zadeh fuzzy set. By means of CRI method, some fuzzy systems are constructed by suitably using several kinds of R-fuzzy sets as fuzzy inference antecedents, such as interpolation fuzzy system, Bernstein fuzzy system, Lagrange fuzzy system and Hermite fuzzy system. A notion of the normal number of the fuzzy system is defined here, we have shown that all fuzzy systems are able to be classified as three classes such as the normal fuzzy systems, the regular fuzzy systems and the singular fuzzy systems under the significance of the normal numbers of fuzzy systems. Finally, the generalized Bernstein polynomial is obtained by constructing Bernstein fuzzy system, it is proved that the generalized Bernstein polynomial is uniformly convergent in C[a,b] under a weaker condition, and it is pointed out that there exist generalized Bernstein polynomials to be not convergent in C[a,b] by use of constructing a counterexample.

关键词： R-fuzzy set fuzzy system the normal number of fuzzy system universal approximation property for fuzzy system

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Identification and MPC control of a circulation fluidized bed boiler using an LPV model

Identification and MPC control of a circulation fluidized be...

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作者： Huang, Jiangyin Ji, Guoli Zhu, Yucai Lin, Wei Department of Automation Xiamen University Xiamen 361005 China Control Systems Faculty of Electrical Engineering Eindhoven University of Technology Netherlands

ISBN: (纸本)9783902661692

This work studies the identification and control of circulation fluidized bed (CFB) boilers. The CFB boiler under investigation shows strong nonlinearity due to big changes of steam load. A linear parameter varying (LPV) model is used to represent the process dynamics and used in control. The steam flow is used as the working-point variable (scheduling variable) of LPV model. Multivariable plant tests were carried out and a LPV model and a linear model were identified. The identification results of the industrial CFB boiler show that the LPV model has much higher accuracy than the linear model. The simulation studies for the MPC control of the CFB boiler have been performed using both the LPV model and the linear model. The simulation results show that the MPC using the LPV model performs better than the MPC using the linear model. © 2009 IFAC.

关键词： Fluidized beds

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Optimization of electric power leveling systems by a novel cluster-structured GA with masking

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IEEJ Transactions on Power and Energy 2010年第12期130卷 1125-1131+11页

作者： Itoh, Jyunpei Fujii, Toshinori Funabiki, Shigeyuki Department of Electronic and Control Systems Engineering Interdisciplinary Faculty of Science and Engineering Shimane University 1060 Nishikawatsu-cho Matsue 690-8504 Japan Department of Electrical Engineering and Information Science Kure National College of Technology 2-2-11 Agaminami Kure 737-8506 Japan

Power fluctuations of the rolling mill may cause the instability of electric power systems, and increase the cost of the electric power facility and electricity charges. Therefore, in order to compensate the power fluctuations, the development of the electric power-leveling systems (EPLS) is very important in the future electric power system. The ERLS with a SMES has been proposed as one of the countermeasures for the electric power quality improvement. However, the SMES is very expensive and it is difficult to decide the gains of the controller. It is essential in the practical use that the reduction of SMES capacity is realized. This paper proposes a new optimization method of the EPLS. The proposed algorithm is Cluster-Structured GA with Masking (CSGA). The optimization of the EPLS can be achieved by the proposed CSGA compared to the GA. © 2010 The Institute of electrical Engineers of Japan.

关键词： Genetic algorithms

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Preface

Communications and Control Engineering

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Communications and control engineering 2011年第9780857292551期 vii-xi页

作者： Sun, Zhendong Ge, Shuzhi Sam College Automation Science & Engineering Center for Control and Optimization South China University of Technology Guangzhou510640 China Robotics Institue and Institute of Intelligent Systems and Information Technology University of Electronic Science and Technology of China Chengdu China Department of Electrical and Computer Engineering The National University of Singapore Singapore Singapore

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Reactive power optimization and voltage control using an improved genetic algorithm

Reactive power optimization and voltage control using an imp...

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2010 International Conference on Power System technology: Technological Innovations Making Power Grid Smarter, POWERCON2010

作者： Liu, S.C. Zhang, J.H. Liu, Z.Q. Wang, H.Q. College of Electrical and Electronic Engineering North China Electric Power University Beijing 310027 China Department of Control Science and Engineering Faculty of Information Technology Zhejiang University Hangzhou Zhejiang 310027 China

ISBN: (纸本)9781424459407

This paper presents an improved dynamic genetic algorithm (IDGA) for reactive power optimization and voltage control. The problem is formulated as a mixed integer, nonlinear optimization problems considering both continuous and discrete control variables. The objective of optimization is minimizing active power losses while maintaining the quality of voltages. During evolution process, the crucial parameters, including mutation and crossover rate, are adjusted dynamically in order to get the optimal global solution. The IEEE standards 14 and 30 bus systems were used as test systems to demonstrate the applicability and efficiency of the proposed method. The results, compared with classical genetic algorithm and previous approaches reported in the literature, show that IDGA could find high-quality solutions with more reliability and efficiency. ©2010 IEEE.

关键词： Nonlinear programming

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About the reliability analysis of a fault-tolerant phased-mission danger control system

About the reliability analysis of a fault-tolerant phased-mi...

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4th International Workshop on Soft Computing Applications, SOFA 2010

作者： Popescu, Daniela Elena Lonea, Alina MǍdǍlina Computer Engineering Department University of Oradea Faculty of Electrical Engineering and Information Technology No.1 Universitatii street 410087 Oradea Romania Faculty of Automation and Computers Politehnica University of Timisoara B-dul Vasile Parvan nr.2 300223 Timisoara Romania

ISBN: (纸本)9781424479849

In fact the mission for a danger control system consists of several phases. The system configuration, operational requirements for individual components, success criteria and stress on the components, can change from phase to phase. Furthermore, the duration of any phase can use deterministic or random models. All these changes and possibilities affect the system reliability. Thus, in this paper, we analyze the danger's system reliability from this point of view. © 2010 IEEE.

关键词： control systems

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