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IEEE Conference on control Technology and Applications (CCTA)

作者： M. Jalili-Kharaajoo R. Ranji H. Bagherzadeh Control & Intelligent Processing center of Excellence University of Tehran Tehran Iran

A predictive control algorithm based on locally linear model tree model (LOLIMOT) is implemented to control a fossil fuel power unite. The controller is a non-model based system that uses a LOLIMOT identifier to predict the response of the plant in a future time interval. An evolutionary programming (EP) approach, optimizes the identifier-predicted outputs and determines input sequence in a time window. This intelligent system provides a predictive control of multi-input multi-output nonlinear systems with slow time variation.

关键词： Predictive control Power generation Predictive models Power system modeling Prediction algorithms Fossil fuels control systems Genetic programming intelligent systems Nonlinear systems

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R-R interval simulation based on power spectrum curve fitting

R-R interval simulation based on power spectrum curve fittin...

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Iranian Conference of Biomedical Engineering (ICBME)

作者： Zainab Aram Seyed Kamaledin Setarehdan Control and Intelligent Processing Center of Excellence University of Tehran Tehran Iran

Analysis of heart rate variability (HRV) is one of the most important noninvasive methods of measuring autonomic nervous system (ANS) activities. Hence, simulation of a realistic sequence of HRV signal can have a significant impact on diagnosis of different diseases related to ANS. In this paper, the focus is on generating realistic R-R interval signals using frequency domain analysis. An algorithm was developed using power spectrum curve fitting. The proposed method was compared to two previously reported algorithms. Twenty different sequences of data were generated with each of the three techniques. The performances of the three methods were then evaluated by exerting a frequency domain classification method to the generated data of each technique and the results were compared to each other.

关键词： Heart rate variability Resonant frequency Colored noise Educational institutions Frequency-domain analysis Biomedical engineering

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Robust tracking of perturbed nonlinear systems by nested sliding mode control

Robust tracking of perturbed nonlinear systems by nested sli...

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International Conference on control and Automation (ICCA)

作者： A. Adhami-Mirhosseini M.J. Yazdanpanah Control and Intelligent Processing Center of Excellence University of Tehran Tehran Iran

In this paper, we consider nested sliding mode control of SISO nonlinear systems to track a reference signal. The proposed system is perturbed by bounded matched and unmatched uncertainties and assumed to be in strict-feedback form. A step wise procedure is introduced to obtain the controller. In each step, a continuous sliding mode controller is designed as virtual control law. Then the next step sliding surface is defined by using this virtual controller. These sliding surfaces are selected as nonlinear static functions of the system states. Finally in the last step, smooth static state feedback control law is determined such that the output tracks the desired exogenous system output, while the system states are forced arbitrary close to the intersection of sliding surfaces and remain bounded.

关键词： Robust control Nonlinear systems Sliding mode control Uncertainty Switches control systems Force control Nonlinear dynamical systems Motion control Process control

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Heart sound segmentation based on recurrence time statistics

Heart sound segmentation based on recurrence time statistics

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Iranian Conference of Biomedical Engineering (ICBME)

作者： Alireza Zaeemzadeh Zahra Nafar Seyed-Kamaledin Setarehdan Control and Intelligent Processing Center of Excellence University of Tehran Tehran Iran

Heart sound segmentation is the primary step in automatic diagnosis of heart sounds. Since heart sound components have great diversity in frequency and amplitude, the focus of this paper is on time domain analysis. Time intervals between consequent peaks have been clustered in time domain and statistical data were extracted. Then a reference point was labeled by using the clustered data. We propose a novel algorithm to segment the heart sound signals, by using extracted data and the reference point. The performance of the algorithm has been evaluated using 240 periods of heart sound signals recorded from 12 subjects including normal and abnormal sounds. The algorithm has achieved a 93.8 percent precision and 100 percent of sensitivity during evaluation.

关键词： Heart Signal processing algorithms Educational institutions Image segmentation Sensitivity Data mining Clustering algorithms

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Second-order EKF and Unscented Kalman Filter Fusion for Tracking Maneuvering Targets

Second-order EKF and Unscented Kalman Filter Fusion for Trac...

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IEEE International Conference on Information Reuse and Integration (IRI)

作者： Behrooz Sadeghi Behzad Moshiri Control & Intelligent Processing Center of Excellence University of Tehran Tehran Iran

When dealing with target tracking problem for maneuvering targets, it may be the case that a first order extended Kalman filter can not track the target and diverges due to neglecting the higher order terms of Taylor series. This paper studies two other filters which are more appropriate for maneuvering targets (with nonlinear state space equations). These two filters are entitled as second-order extended Kalman filter (SOEKF) and unscented Kalman filter (UKF). SOEKF uses Hessian matrix (second term of Taylor series) which may help solving the divergence problem. UKF is also useful as it works with the main nonlinear formula without the need to use any approximation. Both of the state space equations (process equation and measurement equation) is assumed to be nonlinear. In order to enhance the accuracy of tracking process sensor fusion approach is also applied for both of the filters. The number of sensors is assumed to be two. A comparison analysis is made between the two filters alone (without fusion approach) and also when sensor fusion is applied.

关键词： Target tracking Nonlinear equations State estimation Taylor series Filters State-space methods Sensor fusion Process control intelligent control intelligent sensors

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A new architecture to execute CAs-based path-planning algorithm in mobile robots

A new architecture to execute CAs-based path-planning algori...

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2006 IEEE International Conference on Mechatronics, ICM

作者： Akbarimajd, Adel Lucas, Caro Robotics and AI Lab. Department of Electrical and Computer Engineering University of Tehran Iran Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran Iran

ISBN: (纸本)0780397134

Several path-planning algorithms for mobile robots have been introduced. Proper architectures for mobile robots to implement the path-planning algorithms are also of interest. If the mobile robots are to perform complicated tasks including complex sensing and planning operations and have accepted performance, must be autonomous: capable of acquiring information and performing tasks without programmatic intervention. In this paper we employ a layered architecture for mobile robots to perform our previously introduced cellular automata based path planning technique. It employs an abstraction approach which makes the complexity manageable. The architecture has an important feature which is its internal artifacts;it has some beliefs about the world and these beliefs are represented in artifacts and most actions are planned and performed with respect to these artifacts © 2006 IEEE.

关键词： Algorithms

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High performance speed control of interior permanent magnet synchronous motors with maximum power factor operation

High performance speed control of interior permanent magnet ...

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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： R. Fazai M. Jalili-Kharaajoo Control and Intelligent Processing Center of Excellence University of Tehran Tehran IRAN

In this paper, a high performance control applied to speed control of interior permanent magnet synchronous motors. The design strategy is performed with constraint on the power factor, i.e., the power factor is maximized. In order to enhance the performance of the control system, a decoupling current vector control strategy is developed to ensure high performance operation. Simulation results reveal the effectiveness of the proposed controller.

关键词： Velocity control Permanent magnet motors Reactive power Synchronous motors Equations Motor drives Torque control systems Hysteresis motors Aerospace materials

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Model based method for determining the minimum embedding dimension from solar activity chaotic time series

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International Journal of Engineering, Transactions A: Basics 2008年第1期21卷 31-44页

作者： Mirmomeni, M. Lucas, C. Center of Excellence of Control and Intelligent Processing Department of Electrical and Computer Engineering University Tehran Iran

Predicting future behavior of chaotic time series system is a challenging area in the literature of nonlinear systems. The prediction's accuracy of chaotic time series is extremely dependent on the model and the learning algorithm. On the other hand the cyclic solar activity as one of the natural chaotic systems has significant effects on earth, climate, satellites and space missions. Several methods have been introduced for prediction of solar activity indices especially the sunspot number, which is a common measure of solar activity. In this paper, the problem of embedding dimension estimation for solar activity chaotic time series based on polynomial models is considered. The optimality of embedding dimension has an important role in computational efforts, Lyapunov exponents' analysis and efficiency of prediction. The method of this paper is based on the fact that the reconstructed dynamics of an attractor should be a smooth map, i.e. with no self intersection in the reconstructed attractor. To check this property, a local general polynomial autoregressive model is fitted to the given data and a canonical state space realization is considered. Then, the normalized one-step forward prediction error for different orders and various degrees of nonlinearity in polynomials is evaluated. Besides the estimation of the embedding dimension, a predictive model is obtained which can be used for prediction and estimation of the Lyapunov exponents. This algorithm is applied to indicate the minimum embedding dimension of sunspot numbers (SSN), Disturbance Storm Time or Dst. and Proton Flux indices are some of the most important among solar activity indices and results depict the power of the proposed method in embedding dimension estimation.

关键词： Polynomials

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Challenges in implementation of human-automation interaction models

Challenges in implementation of human-automation interaction...

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2007 Mediterranean Conference on control and Automation, MED

作者： Fereidunian, Alireza Lucas, Caro Lesani, Hamid Lehtonen, Matti Nordman, Mikael Center of Excellence for Control and Intelligent Processing School of ECE University of Tehran Iran IPM Iran Power Systems and High Voltage Engineering Lab. Helsinki University of Technology Finland

ISBN: (纸本)142441282X

This paper presents the practical experience gained in the process of implementing the human-centered automation design methodology to an electric power utility management automation function, along with the analytical discussions on the implementation challenges. This report of implementation challenges and the discussions made on the methods devised to conquer those challenges lead to an alternative approach to the original approach to the well-known human-centered automation design model in the literature. ©2007 IEEE.

关键词： Human computer interaction

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Adaptive generalized predictive control and model reference adaptive control for CSTR reactor

Adaptive generalized predictive control and model reference ...

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2010 International Conference on intelligent control and Information processing, ICICIP 2010

作者： Delbari, Mahboobeh Salahshoor, Karim Moshiri, Behzad Islamic Azad University South Tehran Branch Iran Department of Automation and Instrumentation Petroleum University of Technology Iran Control and Intelligent Processing Center of Excellence School of ECE Tehran Iran

ISBN: (纸本)9781424470488

Large numbers of industrial chemical process have nonlinear and time varying behavior, so to achieve good control properties it's necessary to use a powerful identification method that can track these variations properly. In this paper, an on-line recursive least square identification method based on ARX is used to have good knowledge about dynamic behavior of system, then for control goals two adaptive method is present: indirect adaptive control based pole placement and adaptive general predict control(GPC). The advantages of the methodologies are demonstrated on nonlinear Continuous Stirred Tank Reactor (CSTR) simulations. desired control properties is reached with a good parameter estimation and achieved results show the successful identifications and control methodologies. Result of two control strategy are compared together and advantages of Adaptive GPC is shown for time varying systems like CSTR. © 2010 IEEE.

关键词： Model reference adaptive control

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