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International Conference on Electrical and Electronics engineering, ELECO

作者： Zhengui Song Gyorgyi Dimirkovsky Jun Zhao Institute of Integrated Process Automation College of Information Science & Engineering Northeastern University Shenyang Liaoning China Institute of Automation & Systems Engineering Faculty of Electrical Engineering & Information Technologies Ss Cyril and Methodius University Skopje Macedonia Departments of Computer Engineering & Control Engineering Faculty of Engineering Dogus University Kadikoy Istanbul Turkey

Robust H ∞ output feedback control problem for a class of switched linear discrete-time systems possessing norm-bounded uncertainty and time-varying delay is investigated. A switched dynamic output feedback controller is sought that can robust exponentially stabilize and reduce to a prescribed level the effect of disturbance input on the controlled output in the closed loop. A delay-dependent linear matrix inequality based sufficient condition for the problem to be solvable is derived via the switched Lyapunov functions. controller design is performed by solving a set of linear matrix inequalities. An illustrative example along with simulation results is given to demonstrate the validity of these novel derivations.

关键词： Switches Robustness Output feedback Linear matrix inequalities Switched systems Delay

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Sliding mode control of switched uncertain linear systems: Designing robust H∞ sliding surface

Sliding mode control of switched uncertain linear systems: D...

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International Conference on Electrical and Electronics engineering, ELECO

作者： Jie Lian Gyorgyi Dimirkovsky Jun Zhao Institute of Integrated Process Automation College of Information Science & Engineering Northeastern University Shenyang Liaoning China Institute of Automation & Systems Engineering Faculty of Electrical Engineering & Information Technologies Ss Cyril and Methodius University Skopje Macedonia Departments of Computer Engineering & Control Engineering Faculty of Engineering Dogus University Kadikoy Istanbul Turkey

The robust H ∞ control problem for a class of uncertain switched linear systems by using the variable structure control is investigated. A robust H ∞ single sliding surface is shown to exist as long as a convex combination of the subsystems of the switched system is robustly stabilizable with disturbance attenuation level γ. A switching law is constructed via the single Lyapunov function technique. Variable structure controllers of subsystems are designed so as the resulting closed-loop system guarantees the robust H ∞ performance. An illustrative example and simulation results are given to demonstrate the effectiveness of the proposed design method.

关键词： Switches Switched systems Robustness Linear systems Attenuation Uncertain systems

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Ischemia Prediction via ECG using MLP and RBF predictors with ANFIS Classifiers

Ischemia Prediction via ECG using MLP and RBF predictors wit...

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2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

作者： Hoda Tonekabonipour Ali Emam Mohamad Teshnelab Mehdi Aliyari Shoorehdeli Mechatronics Department Qazvin Islamic Azad University Qazvin Iran Electrical Engineering K.N.Toosi University of Technology Tehran Iran Advanced Process Automation and Control (APAC)

In this paper, a new algorithm is presented in using Multi Layer Perceptron (MLP) and Radial Base Function (RBF) to predict Ischemia diseases by Electrocardiogram (ECG) signals. The process would be very difficult due to non-stationary and nonlinear characteristics of ECG signals. MLP and RBF algorithms are well known in predicting the problems. However, they have not been used for real time prediction through signals, especially bio signals such as ECG. Pre-processing is necessary for ECG signal in order to detect QRS complex. Regarding the extract influential features in Ischemia disease, the baseline wandering and noise suppression are done. MLP and RBF, the predictors, are employed to foresee the further next beats in ECG signals. The validity of predictor accuracy is evaluated by Root Mean Square Error (RMSE) criterion. After the prediction stage, The predicted beats are classified by Adaptive Neuro-Fuzzy network (ANFIS) classifier as ischemic and normal. MLP and RBF are tested for their abilities in order to predict Ischemic Heart Disease (IHD) upon ECG signals. The performances of classified beats are evaluated based on computed Sensitivity (Se) and Specificity (Sp). In this study several ECG signals recorded by European Society of Cardiology for ST-T database are used. By applying prediction methods (Direct and Recursive Predictions) 48 steps can be predicted ahead in ECG signal. Then the predicted beats are classified as Ischemic or normal beats. Therefore, the ischemic beats can be predicted in 48 steps ahead. By comparing the results obtained in this study, the MLP and RBF networks are evaluated for their capabilities in predicting Ischemia. According to this comparison, MLP shows better results and the results of ANFIS as a classifier has been satisfactory enough in classification of Ischemic beats. Therefore, these results can be used for early diagnosis of Ischemic Heart Disease (IHD).

关键词： RBF MLP ANFIS Neuro-Fuzzy ECG Prediction Classification.

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Feature selection and classification of breast MRI lesions based on multi classifier

Feature selection and classification of breast MRI lesions b...

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International Symposium on Artificial Intelligence and Signal processing (AISP)

作者： Farzaneh Keyvanfard Mahdi Aliyari Shoorehdeli Mohammad Teshnehlab Electrical and Computer Engineering Department Khaje Nasir Toosi University of Technology Tehran Iran Electrical and Computer Engineering Department Advanced Process Automation and Control (APAC) Khaje Nasir Toosi University of Technology Tehran Iran

This paper aims to increase the classification specificity by using multi classifier system. First, a novel pixel search approach is applied to find significant region in images. Fuzzy C-means is utilized to determine the clear boundary of tumor. Then, shape and texture features are extracted from region of interest. Genetic algorithm is applied to select the best feature used for classifiers. Several neural networks and support vector machine are considered as classifiers that classify the data into benign and malignant group. To improve the performance of classification, three classifiers that have the best results among all applied methods are combined together that they have been named as multi classifier system. For each lesion, final detection as malignant or benign has been evaluated, when the same results are achieved from two classifiers of multi classifier system. Notice that the Jack-Knife technique is applied in this study, because it is useful for small data base as ours gotten from Milad Hospital in Tehran, Iran.

关键词： Lesions Artificial neural networks Support vector machines Magnetic resonance imaging Feature extraction Breast cancer

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An on-board pan-tilt controller for ground target tracking systems

An on-board pan-tilt controller for ground target tracking s...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Zhekui Xin Yongchun Fang Bin Xian Beijing AeroSpace Automatic Control Institute China Institute of Robotics and Information Automatic System Nankai University Tianjin China Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin China

For a ground target tracking system using an unmanned helicopter, an on-board pan-tilt controller is proposed to adjust the attitude of the camera, so that to keep the target staying at the center of the image plane when the target is in sight. When the target is temporarily out of view due to various reasons, the designed controller will make the camera quickly re-capture the target by estimating its state and then regulating the orientation of the camera correspondingly. Specifically, a novel state transformation is firstly introduced to make the error system independent of the target image. Subsequently, a nonlinear pan-tilt controller is designed for the transformed error system. Lyapunov techniques are then employed to prove that the target tracking error in the image plane is driven to zero exponentially fast. To facilitate the implementation of the constructed controller, a visual estimator is also utilized to obtain the state information of the target even if it is occasionally out of the view of the camera by introducing an effective nonlinear filter. Simulation results are provided to validate the performance of the presented control system.

关键词： Target tracking Cameras Helicopters Jacobian matrices Visualization Robot vision systems

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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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Experiment design for Pauli channel estimation

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IFAC Proceedings Volumes 2011年第1期44卷 4344-4349页

作者： Gábor Balló Katalin M. Hangos Department of Electrical Engineering and Information Systems University of Pannonia Egyetem u. 10 H-8200 Veszprém Hungary Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary

Abstract Experiment design for quantum channel parameter estimation includes the design of the quantum input to the channel and the observables to be applied on the resulting quantum output system, called the experiment configuration. An experiment design procedure based on maximizing the Fisher information of the qubit Pauli channel parameters is presented in this paper. It can be shown that the Fisher information is a convex function in both the input and the experiment configuration parameters. This leads to an optimal setting that includes pure input states and projective measurements directed towards the channel directions. An iterative method of estimating the channel directions is also proposed.

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Novel variance-constrained filtering for uncertain systems subject to randomly varying sensor delay

Novel variance-constrained filtering for uncertain systems s...

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Chinese control and Decision Conference, CCDC

作者： Yijing Wang Zhiqiang Zuo Daniel W. C. Ho Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University TJU Tianjin China Department of Mathematics City University of Hong Kong Kowloon Hong Kong China

In this paper, the problem of robust filtering for a class of uncertain discrete-time stochastic systems under randomly varying distributed sensor delay is reconsidered. A new and efficient method for robust filter design is introduced to achieve some performance requirements, that is, the error state of filtering process is mean square bounded and the steady-state variance of the estimation error for each state is less than the individual prescribed upper bound. Different from the previous method which involves a two-step design procedure with algebraic Riccati-like inequalities and linear constraint, it is shown that this problem can be directly converted to the feasibility of some linear matrix inequalities. Furthermore, the inequality used for handling the parameter uncertainty in the previous literature is no required which reduces the conservatism of the obtained results. An example is carried out to illustrate the effectiveness of the method and the improvement over the existing result in the literature.

关键词： Delay Steady-state Robustness Uncertain systems Linear matrix inequalities Symmetric matrices Mathematical model

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Active Disturbance Rejection control simulation toolbox in open-source software Scilab/Xcos

Active Disturbance Rejection Control simulation toolbox in o...

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

作者： Lijun Wang Qing Li Chaonan Tong Yixin Yin Jiangyun Li Siyang Song School of Automation & Electrical Engineering Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education University of Science and Technology Beijing(USTB) Beijing China Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781612844923

To satisfy high accuracy and speed requirement, a kind of Active Disturbance Rejection control (ADRC) solution is proposed according to the complexity of Monitor Finishing Automatic Width control (FAWC) system with large time-delay for hot strip mill. In order to improve the versatility of ADRC parameters, a unit gain was added in the loop. Based on the simplified model, the presented ADRC consists of linear functions which make it easier to realize. For applying ADRC algorithms conveniently and widely, the control system is implemented in Scilab/Xcos, which is one of an Open-source Software for Scientific Computation (OSSC) and is free of charge. According to the program of data exchanging between Xocs and Scilab, Xcos simulation can be carried out in batch processing in Scilab. The disturbances rejection and robustness of the proposed control method is verified by ADRC simulation toolbox in Scilab/Xcos.

关键词： Strips Monitoring Educational institutions Uncertainty Steel control systems Temperature measurement

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Multi-PID control of Hammerstein systems with input multiplicity

Multi-PID control of Hammerstein systems with input multipli...

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Chinese control Conference (CCC)

作者： Jingjing Du Xinliang Zhang Chunyue Song School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo P. R. China State Key Lab. of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou P. R. China

Hammerstein models are popular in describing nonlinear chemical processes. The general control strategy for Hammerstein models is the nonlinearity inversion method, which is unfortunately inapplicable to Hammerstein systems with input multiplicity. To overcome this difficulty, a Multi-PID control approach is proposed. Thus, a complex control problem is solved by a conventional and easy control strategy. A Heat Exchanger process is simulated to demonstrate the effectiveness of the Multi-PID control approach.

关键词： process control Heating Steady-state Analytical models Predictive models Switches

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