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检索条件"机构=School of ECE and the Control and Intelligent Processing"

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Optimal Vibration control of a Plate in Presence of Colored Noise Disturbances

Optimal Vibration Control of a Plate in Presence of Colored ...

引用

IEEE International Conference on Mechatronics and Automation

作者： Farzad A. Shirazi Masoud Mohammadi Ashkan Rahimi-Kian School of Mechanical Engineering University of Tehran Tehran Iran Control & Intelligent Processing Center of Excellence School of ECE University of Tehran Tehran Iran

In this paper a modified discrete-time linear quadratic Gaussian (LQG) controller is presented in which the optimal control law is computed based on the dynamic programming (DP) algorithm. In derivation of the governing equations, it is assumed that the noise is colored and it has a nonzero expectation value, whereas in standard form of LQG equations, the system is perturbed by white noise. Similar to LQG controller, a quadratic cost (energy) function is defined and is minimized with optimal controlling input. After presenting the constitutive equations, the recursive algorithm is applied to a smart plate. In this structure fifteen pairs of PZT actuators, bonded to a flexible plate, are activated by optimal output of controller for vibration control of the plate. A three dimensional finite element method (FEM) analysis is used to model the dynamic behavior of the system. After harmonic analysis of the structure, the displacement of the mid-point of the plate is determined and the results of modeling are exported to MATLAB. The transfer function and state space representation of the system are derived and used for control objective. The goal of the optimal controller is to minimize the vibration energy of the plate and limit the amplitude of displacement in the middle of the structure. First, the derivation of DP-based controller equations is discussed and then it is applied to the system to control the vibration of the plate in the presence of the colored noise with known properties. The results of the modified and standard LQG are compared and discussed in the presence of colored noise. The modified LQG controller shows better performance in comparison with the standard one, which makes it suitable for similar applications in the presence of colored noise with moderate sampling time.

关键词： Vibration control Colored noise Optimal control Equations control systems Mathematical model Dynamic programming Heuristic algorithms White noise Cost function

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Evaluation of BOLD Sensitivity Using a Realistic MRI Simulator

Evaluation of BOLD Sensitivity Using a Realistic MRI Simulat...

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Joint Meeting of the International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging (NFSI-ICFBI)

作者： Ali-Reza Mohammadi-Nejad G.-Ali Hossein-Zadeh Hamid Soltanian-Zadeh Control and Intelligent Processing Center of Excellence School of ECE University of Tehran Tehran Iran Henry Ford Health System Medical Image Analysis Laboratory Detroit MI USA

MRl simulation is a suitable method to evaluate and acquire understanding of the complex blood oxygenation level dependent (BOLD) effect. To study the observability of BOLD signal, we extended a MRI simulator. This simulator is capable of complete modeling of object (tissue) and main field inhomogeneities. We made a digital phantom in which the magnitude of fractional oxygenation (Y), hematocrit (Hct) values in red blood cells, the diameter of vessels, and also the position of blood vessel within the voxel can be changed. Then we created echo planar imaging (EPI) images of the phantom under resting and activated states using the simulator. Resulting images were analyzed using cross-correlation and t-test analysis for activation detection. Then the effect of various parameters on the detection of BOLD is investigated. These parameters include fractional oxygenation, spatial extent of BOLD effect and the location of vessel inside voxel. This simulation study provides a basis for planning experiments aimed at BOLD contrast detection with EPI pulse sequence.

关键词： Magnetic resonance imaging Red blood cells Medical simulation Biomedical imaging Image analysis Magnetic susceptibility Analytical models Imaging phantoms Blood vessels Magnetic properties

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Challenges in implementation of human-automation interaction models

Challenges in implementation of human-automation interaction...

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Mediterranean Conference on control and Automation (MED)

作者： Afreza Fereidunian Caro Lucas Hamid Lesani Matti Lehtonen Mikael Nordman Helsinki University of Technology Finland Imperial College London UK Center of Excellence for Control and Intelligent Processing School of ECE University of Tehran Iran Power Systems and High Voltage Engineering Laboratory Helsinki University of Technology Finland Researcher with the Power Systems and High Voltage Engineering Laboratory Helsinki University of Technology Finland

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.

关键词： Design automation Human computer interaction Scholarships intelligent agent Power system modeling Process control intelligent control Design methodology Energy management Collaboration

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Complexity and Size Analysis of Hybrid System Modeling with Mixed Logical Dynamical Approach

Complexity and Size Analysis of Hybrid System Modeling with ...

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Mediterranean Conference on control and Automation (MED)

作者： Hamid Mahboubi Jalal Habibi Behzad Moshiri Ali Khaki-Sedigh School of ECE University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence School of ECE University of Tehran Tehran Iran Control System Engineering School of Electrical Engineering Khaje Nasir Toosi University of Technology Tehran Iran

Recently, a great amount of interest has been shown in the field of modeling and control of hybrid systems. One of the efficient methods in this area utilizes the mixed logical-dynamical (MLD) systems in the modeling. In this method, the system constraints are transformed into mixed-integer inequalities by defining some logic statements. In this paper, a system containing three tanks is modeled as a nonlinear switched system using the MLD framework. Regarding this three-tank modeling, an n-tank system is modeled and number of binary and continuous auxiliary variables and also number of mixed-integer inequalities are obtained in terms of n. Then, the system size and complexity due to increase in number of tanks are considered. It is concluded that as the number of tanks increases, the system size and complexity increase exponentially which hampers control of the system. Therefore, methods should be found which result in fewer variables

关键词： Logic Power system modeling Size control control system synthesis Switched systems control systems Automatic control Automata Difference equations Design methodology

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Inner Supervision in Multi-Sensor Data Fusion Using the Concepts of Stackelberg Games

Inner Supervision in Multi-Sensor Data Fusion Using the Conc...

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International Conference on Multisensor Fusion and Integration for intelligent Systems (MFI)

作者： Amir Danak Ashkan Rahimi Kian Behzad Moshiri Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering University of Tehran Tehran Iran CIPCE School of ECE University of Tehran Iran

As a new means for data acquisition and fusion, mobile ad hoc sensor networks has been the focus of many researchers during the previous years. To enhance both the quality of service (QoS) and the network's robustness, the concept of mobility were introduced which gives the designer the capability of using various topologies to perform a certain task. This paper proposes a novel management idea for positioning of the sensor agents based on the concepts of Stackelberg games. It is explained that the new method lowers the cost of internal communication while eases the network description as well

关键词： Quality of service Network topology Sensor phenomena and characterization Hardware Kalman filters intelligent sensors intelligent systems Real time systems Centralized control Robust control

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Fixed and Random Effect Analysis of Multi-subject Spatial Activation Maps in Wavelet Domain

Fixed and Random Effect Analysis of Multi-subject Spatial Ac...

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International Joint Conference on Neural Networks (IJCNN)

作者： M. Soleymani G.A. Hossein-Zadeh H. Soltanian-Zadeh Control and Intelligent Processing Centre of Excellence ECE Department Faculty of Engineering University of Tehran Tehran Iran ECE Department Faculty of Engineering University of Tehran Tehran Iran School of Cognitive Sciences Institute of Studies in Theoretical Physics and Mathematics Henry Ford Health System Detroit MI USA

A method is proposed for modeling random and fixed effects in statistical maps of multisubject fMRI data. Using this model, we separate a fixed common activation map and a random effect for each subject. The proposed model shows a good multisubject activation detection for group analysis and also illustrate that the between subject variation lies mostly in activated areas. The method was implemented and tested on both simulated and experimental functional MRI data of 9 subjects.

关键词： Wavelet analysis Wavelet domain Magnetic resonance imaging Independent component analysis Process control intelligent control Principal component analysis Magnetic analysis Testing Time series analysis

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Spatially Adaptive Kernels for Adaptive Spatial Filtering of fMRI Data

Spatially Adaptive Kernels for Adaptive Spatial Filtering of...

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International Joint Conference on Neural Networks (IJCNN)

作者： V. Taimouri G.-A. Hossein-Zadeh H. Soltanian-Zadeh Control and Intelligent Processing Centre of Excellence ECE Department Faculty of Engineering University of Tehran Tehran Iran School of Cognitive Sciences Institute of Studies in Theoretical Physics and Mathematics and Medical Image Analysis Laboratory Henry Ford Health System Detroit MI USA

Making use of neighborhood time series is an effective way of noise reduction in fMRI data. However the conventional averaging methods blur activated areas. In this paper, a filter with adaptive kernel is designed such that its kernel size and direction are defined at each voxel. First, for finding the optimum size of kernel, a linear combination of some isotropic Gaussian filters with different variances is used, and optimum value of variance is specified. Then, the appropriate kernel direction is determined by a linear combination of some anisotropic basic filters with various directions. The weights of these linear combinations can be calculated by using the restricted canonical correlation method. The proposed method is compared with a similar method based on the steerable filters and the results show that the proposed method improves the ROC curve and prohibits false spread of the activation areas.

关键词： Kernel Adaptive filters Filtering Nonlinear filters Anisotropic magnetoresistance Magnetic separation Process control intelligent control Correlation Magnetic resonance imaging

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Self-adaptive memetic algorithm: an adaptive conjugate gradient approach

Self-adaptive memetic algorithm: an adaptive conjugate gradi...

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IEEE Conference on Cybernetics and intelligent Systems

作者： N. Shahidi H. Esmaeilzadeh M. Abdollahi E. Ebrahimi C. Lucas ECE Department University of Tehran Tehran Iran Center of Excellence for Control and Intelligent Processing ECE DepartmentSchool of Intelligent Systems University of Tehran Tehran Iran

Combining hill climbing methods that search for the optimum points in a bounded region of search space with genetic algorithm is effective in the cases that the search space or optimization problem is complicated. However, parameter setting of selected HC can influence the performance of the algorithm significantly. In this paper a run-time self-adaptation strategy is utilized to discover the most appropriate HC parameters for the problem at hand. The HC method is used in this work is conjugate gradient that is an efficient gradient based hill climber for a wide range of problems. Traditionally, key parameters of the conjugate gradient are tuned by some deterministic or predetermined adaptive rules. But in our self-adaptation approach these parameters are encoded in genotypes and coevolved alongside the solutions and adjusted based on regional or generational conditions of individuals in the evolution process. Another advantage of this individualistic approach is that it puts forth different hill climbing capabilities to each individual and this prevents undesirable convergence of solutions to a local optimum that is a side effect of ordinary memetic algorithm. This proposed method not only adds no extra computation load to the genetic algorithm but also eliminates computation burden of parameter adjustment of hill climbing operator. Results of applying this approach on several test functions are demonstrated to illustrate improvements achieved using our self adaptive memetic algorithm in comparison with ordinary memetic algorithm.

关键词： Genetic algorithms Search methods Optimization methods Runtime Automatic testing Evolutionary computation Process control control systems intelligent control Hybrid intelligent systems

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UTMAC: A C ++ library for multi-agent controller design

UTMAC: A C ++ library for multi-agent controller design

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Proceedings of the Biannual World Automation Congress

作者： N. ShahidI M. Gheiratmand C. Lucas H. Esmadizade Department of Electrical and Computer Engineering Univ. of Tehran Tehran Iran Center of Excellence for Control and Intelligent Processing ECE Department School of Intelligent Systems I.P.M. University of Tehran Tehran Iran ECE Dept. Univ. of Tehran and Sehool of Intelligent Systems I.P.M Tehran Iran Department of Electrical and Computer Engineering Univ of Tehran Tehran Iran

UTMAC is an object-oriented C++ class library, developed for design, implementation and simulation of multi-agent controllers. Using UTMAC, the control problem under analysis should be decomposed into several partial sub-problems to be solved by controller-agents, which can be implemented as reusable entities. UTMAC uses a non-centralized simulation scheme in which cash agent simulates itself. In this paper the structure of UTMAC is explored and design of a simple reusable multi-agent controller is provided to illustrate the work and show the convenience of design and implementation.

关键词： Libraries Java Process control intelligent control intelligent systems Computational modeling Computer simulation control systems Packaging

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