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**Search for:**optimal-parameter-estimation

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#### Application of neural network to find initial state of optimization parameters

, Article 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006, Chicago, IL, 5 November 2006 through 10 November 2006 ; 2006 ; 10716947 (ISSN); 0791837904 (ISBN); 9780791837900 (ISBN) ; Sayyaadi, H ; Sharif University of Technology
American Society of Mechanical Engineers (ASME)
2006

Abstract

This paper derives an estimated function made by simple Neural Network to find initial state of optimization parameters. It changes a system of differential equations with boundary values to a system of equations with initial values. So a lot of time would be saved to solve it. As a result, the system with differential equations will reach the desired final state. Copyright © 2006 by ASME

#### Parameter optimization for bistatic PCL radar

, Article ITST 2006 - 2006 6th International Conference on ITS Telecommunications, Proceedings, Chengdu, 21 June 2006 through 23 June 2006 ; 2006 , Pages 1256-1258 ; 0780395867 (ISBN); 9780780395862 (ISBN) ; Jafargholi, A ; Mousavi, M ; Bayat, S ; Nayebi, M. M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2006

Abstract

In this paper the accuracy of measurement with respect to some parameters like baseline variance and DOA estimation and bistatic RCS is considered. The Radar designer can find the appropriate parameters to having the minimum error in target localization and maximum coverage range. © 2006 IEEE

#### Optimal stability of a redundant mobile manipulator via genetic algorithm

, Article Robotica ; Volume 24, Issue 6 , 2006 , Pages 739-743 ; 02635747 (ISSN) ; Naderi, D ; Eslami, S ; Sharif University of Technology
2006

Abstract

Once the path of the vehicle and the desired task of the end-effector are predefined, in order to apply the optimal stability criterion, the manipulator should be redundant. In this paper, the goal is to find the position, angular velocity, and angular acceleration of the redundant link of the manipulator such that the entire system becomes optimally stable. By considering the full dynamic interaction between the manipulator and its vehicle, the stability issue becomes more complex. There are some measures of stability and one of them is the tire's upward force. This measure tries to equalize the upward forces of the tires that lead to optimal stability and better steer-ability. Optimizing...

#### A new continuous action-set learning automaton for function optimization

, Article Journal of the Franklin Institute ; Volume 343, Issue 1 , 2006 , Pages 27-47 ; 00160032 (ISSN) ; Meybodi, M. R ; Sharif University of Technology
2006

Abstract

In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noise-corrupted value of function at any chosen point in the parameter space is available. We first introduce a new continuous action-set learning automaton (CALA) and study its convergence properties. Then we give an algorithm for optimizing an unknown function. © 2005 The Franklin Institute. Published by Elsevier Ltd. All rights reserved

#### Optimal fuzzy CLOS guidance law design using ant colony optimization

, Article 3rd International Symposium on Stochastic Algorithms: Foundations and Applications, SAGA 2005, Moscow, 20 October 2005 through 22 October 2005 ; Volume 3777 LNCS , 2005 , Pages 95-106 ; 03029743 (ISSN); 3540294988 (ISBN); 9783540294986 (ISBN) ; Pourtakdoust, S. H ; Russian Foundation for Basic Research ; Sharif University of Technology
2005

Abstract

The well-known ant colony optimization meta-heuristic is applied to design a new command to line-of-sight guidance law. In this regard, the lately developed continuous ant colony system is used to optimize the parameters of a pre-constructed fuzzy sliding mode controller. The performance of the resulting guidance law is evaluated at different engagement scenarios. © Springer-Verlag Berlin Heidelberg 2005

#### A novel approach for optimal design of a rover mechanism

, Article Journal of Intelligent and Robotic Systems: Theory and Applications ; Volume 44, Issue 4 , 2005 , Pages 291-312 ; 09210296 (ISSN) ; Pishkenari, H. N ; Gaskarimahalle, A. L ; Mahboobi, S. H ; Karimi, R ; Sharif University of Technology
2005

Abstract

This article presents an overview of the mechanical design and fabrication of a Rescue Robot (CEDRA) for operation in unstructured environments. In order to obtain an appropriate mechanism for climbing the stairs, a novel method has been developed. In this kinematics-based approach we don't need to perform any dynamic analysis which is highly complicated and time consuming for most rovers. According to the essential characteristics needed for rovers, two objective functions were defined. We have shown that the new mechanism performs better on rough terrains than the previous well-known mechanism widely used in the Mars rovers. Moreover the design parameters are optimized by means of Genetic...

#### W-shaped enhanced-bandwidth patch antenna for wireless communication

, Article Wireless Personal Communications ; Volume 43, Issue 4 , May , 2007 , Pages 1257-1265 ; 09296212 (ISSN) ; Hojjat Kashani, F ; Barkeshli, K ; Sharif University of Technology
2007

Abstract

In this paper a novel form of the familiar E-shaped patch antenna is presented. In the presented approach, by using the genetic algorithm (GA) based on fuzzy decision-making, some modifications have been implemented to the incorporated slots which lead to even more enhancement in the antenna bandwidth. The MOM (Method of Moment) is employed for analysis at the frequency band of 1.8GHz-2.6GHz by the optimization parameters of supply locations and slot dimensions. In the implemented fuzzy system, inputs are parameters like population, and outputs are parameters like recombination to produce the next generation. Fuzzy inference system (FIS) is used for the control of GA parameters. The design...

#### Study of the dependence of the specific output power of a copper chloride laser on the radial temperature profile of a gas plasma

, Article Quantum Electronics ; Volume 37, Issue 4 , 2007 , Pages 325-330 ; 10637818 (ISSN) ; Soltanmoradi, F ; Mohammadpour, R ; Tavakoli, M ; Zand, M ; Sharif University of Technology
2007

Abstract

The design of a copper chloride laser is described, and the laser is optimised by studying the dependence of its output power on the buffer gas type. The voltage and current of the laser discharge at the optimum buffer gas pressure are measured. The influence of the diaphragm diameter on the specific output power is studied after optimisation of switch parameters. When an diaphragm producing the optimal temperature gradient in the laser gas-discharge tube, the record specific output power of 123 W L-1 is obtained without any admixtures. ©2007 Kvantovaya Elektronika and Turpion Ltd

#### Optimization analysis of alternate tube section for pulse tube refrigerators

, Article 8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA2006, Torino, 4 July 2006 through 7 July 2006 ; Volume 2006 , 2006 ; 0791837793 (ISBN); 9780791837795 (ISBN) ; Saidi, M. H ; Hannani, S. K ; Sharif University of Technology
American Society of Mechanical Engineers
2006

Abstract

In spite of numerous attempts which have been made during the last decade to optimize pulse tube refrigerators, still theoretical and analytical realization of this device needs to be thoroughly explained. In this paper, in addition to the oscillatory flow analysis in the pulse tube refrigerator through a simple analytical model, the performance of the alternate tube section of this device is analyzed using a generalized efficiency, based on the entropy generation rate. In this model, in order to extract the entropy generation rate and the dissipative terms caused by fluid friction and heat flow in alternate tube, simplified momentum and energy equations are solved analytically and velocity...

#### An efficient parameter selection criterion for image denoising

, Article 5th IEEE International Symposium on Signal Processing and Information Technology, Athens, 18 December 2005 through 21 December 2005 ; Volume 2005 , 2005 , Pages 872-877 ; Kasaei, S ; Marvasti, F ; Sharif University of Technology
2005

Abstract

The performance of most image denoising systems depends on some parameters which should be set carefully based on noise distribution and its variance. As in some applications noise characteristics are unknown, in this research, a criterion which its minimization leads to the best parameter set up is introduced. The proposed criterion is evaluated for the wavelet shrinkage image denoising algorithm using the cross validation procedure. The criterion is tested for some different values of thresholds, and the output leading to the minimum criterion value is selected as the final denoised output. The resulting outputs of our method and the previous threshold selection scheme for the wavelet...

#### On-line fault detection and isolation (FDI) for the exhaust path of a turbocharged SI engine

, Article ASME 2013 Dynamic Systems and Control Conference, DSCC 2013 ; Vol. 1 , 2013 ; ISBN: 9780791856123 ; Shahbakhti M ; Alasty, A ; Vossoughi, G ; Sharif University of Technology
Abstract

Detection and isolation of faults in the exhaust gas path of a turbocharged spark ignition (SI) engine is an essential part of the engine control unit (ECU) strategies to minimize exhaust emission and ensure safe operation of a turbocharger. This paper proposes a novel physics-based strategy to detect and isolate an exhaust manifold leakage and a closed-stuck wastegate fault. The strategy is based on a globally optimal parameter estimation algorithm which detects an effective hole area in the exhaust manifold. The estimation algorithm requires prediction of the exhaust manifold's input and output flows. The input flow is predicted by a nonlinear Luenberger observer which is analytically...

#### Efficient stochastic algorithms for document clustering

, Article Information Sciences ; Volume 220 , 2013 , Pages 269-291 ; 00200255 (ISSN) ; Mahdavi, M ; Shamsfard, M ; Meybodi, M. R ; Sharif University of Technology
2013

Abstract

Clustering has become an increasingly important and highly complicated research area for targeting useful and relevant information in modern application domains such as the World Wide Web. Recent studies have shown that the most commonly used partitioning-based clustering algorithm, the K-means algorithm, is more suitable for large datasets. However, the K-means algorithm may generate a local optimal clustering. In this paper, we present novel document clustering algorithms based on the Harmony Search (HS) optimization method. By modeling clustering as an optimization problem, we first propose a pure HS based clustering algorithm that finds near-optimal clusters within a reasonable time....

#### On-line fault detection and isolation (FDI) for the exhaust path of a turbocharged SI engine

, Article ASME 2013 Dynamic Systems and Control Conference, DSCC 2013 ; Volume 1 , 2013 ; 9780791856123 (ISBN) ; Shahbakhti, M ; Alasty, A ; Vossoughi, G ; Sharif University of Technology
2013

Abstract

Detection and isolation of faults in the exhaust gas path of a turbocharged spark ignition (SI) engine is an essential part of the engine control unit (ECU) strategies to minimize exhaust emission and ensure safe operation of a turbocharger. This paper proposes a novel physics-based strategy to detect and isolate an exhaust manifold leakage and a closed-stuck wastegate fault. The strategy is based on a globally optimal parameter estimation algorithm which detects an effective hole area in the exhaust manifold. The estimation algorithm requires prediction of the exhaust manifold's input and output flows. The input flow is predicted by a nonlinear Luenberger observer which is analytically...

#### New solutions of LR fuzzy linear systems using ranking functions and ABS algorithms

, Article Applied Mathematical Modelling ; Volume 34, Issue 11 , November , 2010 , Pages 3363-3375 ; 0307904X (ISSN) ; Mahdavi Amiri, N ; Sharif University of Technology
2010

Abstract

We propose an approach for computing the general compromised solution of an LR fuzzy linear system by use of a ranking function when the coefficient matrix is a crisp m×n matrix. The solution is so that mean values of a compromised solution satisfies the corresponding crisp linear system. We show that if the corresponding crisp system is incompatible, then the fuzzy linear system lacks any solution. Otherwise, we solve a constrained least squares problem to compute a compromised solution. If the optimal value of the constrained least squares problem is zero, then we obtain the LR solution, namely the exact solution, of the system with respect to a ranking function. On the other hand, if the...

#### An adaptive self-regular proximity based large-update IPM for LO

, Article Optimization Methods and Software ; Volume 20, Issue 1 , 2005 , Pages 169-185 ; 10556788 (ISSN) ; Terlaky, T ; Sharif University of Technology
Taylor and Francis Inc
2005

Abstract

Primal-dual interior-point methods (IPMs) have shown their power in solving large classes of optimization problems. However, there is still a discrepancy between the practical behavior of these algorithms and their theoretical worst-case complexity results with respect to the update strategies of the duality gap parameter in the algorithm. Recently, this discrepancy was significantly reduced by Peng, J., Roos, C. and Terlaky, T., 2002, Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms (Princeton, NJ: Princeton University Press) who introduced a new family of self-regular (SR)-proximity functions based IPMs. In this paper, based on a class of SR proximities, we propose...

#### Simultaneous optimization and simulation of a-Si1-xC x layers on n-type silicon solar cells

, Article Solar Energy Materials and Solar Cells ; Volume 85, Issue 4 , 2005 , Pages 467-476 ; 09270248 (ISSN) ; Asadi, K ; Sharif University of Technology
2005

Abstract

We have applied Rosenbrock's optimization algorithm to obtain the optimized efficiency of a solar cell and its structural parameters. To obtain these parameters, we have developed a computer program for simultaneous optimization and simulation of the solar cell. We have used experimental data on the electrical and optical properties of a-Si1-xCx layers, put them into the written code and obtained the optimized parameters of this solar cell. The maximum efficiency is 6.32% which is close to one experimental result. © 2004 Elsevier B.V. All rights reserved

#### A parameter-tuned genetic algorithm to optimize two-echelon continuous review inventory systems

, Article Expert Systems with Applications ; Volume 38, Issue 9 , September , 2011 , Pages 11708-11714 ; 09574174 (ISSN) ; Niaki, S. T. A ; Tokhmehchi, N ; Sharif University of Technology
2011

Abstract

This paper deals with a two-echelon inventory system for a non-repairable item where the system consists of one warehouse and m identical retailers and uses continuous-review (R, Q) ordering policy. To find an effective stocking policy for this system, a mathematical model with the objective of minimizing the total annual inventory investment subject to constraints on the average annual order frequency, expected number of backorders, and budget is formulated. The mathematical model of the problem at hand is shown to be nonlinear integer-programming and hence a parameter-tuned genetic algorithm is proposed to solve it efficiently. A numerical example is provided at the end to illustrate the...

#### A stochastic well-test analysis on transient pressure data using iterative ensemble Kalman filter

, Article Neural Computing and Applications ; 2017 , Pages 1-17 ; 09410643 (ISSN) ; Adibifard, M ; Sharif University of Technology
Abstract

Accurate estimation of the reservoir parameters is crucial to predict the future reservoir behavior. Well testing is a dynamic method used to estimate the petro-physical reservoir parameters through imposing a rate disturbance at the wellhead and recording the pressure data in the wellbore. However, an accurate estimation of the reservoir parameters from well-test data is vulnerable to the noise at the recorded data, the non-uniqueness of the obtained match, and the accuracy of the optimization algorithm. Different stochastic optimization methods have been applied to this address problem in the literature. In this study, we apply the recently developed iterative ensemble Kalman filter in the...

#### Reliability improvement of industrial drives using multi-objective optimization

, Article 2008 IEEE Industry Applications Society Annual Meeting, IAS'08, Edmonton, AB, 5 October 2008 through 9 October 2008 ; 2008 ; 01972618 (ISSN); 9781424422791 (ISBN) ; Zolghadri, M. R ; Khaligh, A ; Sharif University of Technology
2008

Abstract

In a motor-drive system, there are many factors which can be considered as a figure of merit in drive control algorithm. All of these factors should be evaluated simultaneously to achieve the reliable performance of drive. In this paper, an optimization problem is constructed on a direct torque controlled induction motor drive using a candidate from different parts of drive system: inverter loss from section of solid state converter, motor loss from section of electromechanical converter and torque ripple from mechanical section. Minimization of this cost function leads to the optimum values of drive control parameters. © 2008 IEEE

#### Convex Optimization and MIMO RADAR waveform design in the presence of clutter

, Article 2008 2nd International Conference on Signals, Circuits and Systems, SCS 2008, Nabeul, 7 November 2008 through 9 November 2008 ; January , 2008 ; 9781424426287 (ISBN) ; Behnia, F ; Sharif University of Technology
2008

Abstract

Waveform design for Target identification and classification in MIMO radar systems has been studied in several recent works. While the previous works considered signal independent noise and found optimal signals for an e stimation algorithm, here we extend the results to the case where clutter is also present and then we will find the optimum waveform for several estimators differing in the assumptions on the given statistics. Several different approaches to the optimal waveform design are proposed, including minimizing the error of MMSE estimator, minimizing the maximum error of the covariance shaping least square (CSLS) estimator and minimizing the MSE error of scaled least square (SLS)...