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    A method for noise reduction in active-rc circuits

    , Article IEEE Transactions on Circuits and Systems II: Express Briefs ; Volume 58, Issue 12 , 2011 , Pages 906-910 ; 15497747 (ISSN) Gharibdoust, K ; Bakhtiar, M. S ; Sharif University of Technology
    Abstract
    A method for noise reduction in active-$RC$ circuits is introduced. It is shown that the output noise in an active-$RC$ circuit can be considerably reduced, without disturbing the circuit transfer function by inserting appropriate passive or active components in the circuit. The inserted components introduce new signal paths in the circuit for noise reduction while the original circuit transfer function is kept unchanged. The procedure to define the proper paths in the circuit and their transfer functions is given. The effectiveness of the presented method is demonstrated using a second-order active-RC filter fabricated in a 0.18-$ {m}$ CMOS technology  

    Adaptive attitude and position control of an insect-like flapping wing air vehicle

    , Article Nonlinear Dynamics ; Volume 85, Issue 1 , 2016 , Pages 47-66 ; 0924090X (ISSN) Banazadeh, A ; Taymourtash, N ; Sharif University of Technology
    Springer Netherlands 
    Abstract
    This study describes an adaptive sliding mode technique for attitude and position control of a rigid body insect-like flapping wing model in the presence of uncertainties. For this purpose, a six-degrees-of-freedom nonlinear and time-varying dynamic model of a typical hummingbird is considered for simulation studies. Based on the quasi-steady assumptions, three major aerodynamic loads including delayed stall, rotational lift and added mass are presented and analyzed, respectively. Using the averaging theory, a time-varying system is then transformed into the time-invariant system to design the adaptive controller. The controller is designed so that the closed-loop system will follow any... 

    Model predictive control of blood sugar in patients with type-1 diabetes

    , Article Optimal Control Applications and Methods ; Volume 37, Issue 4 , 2016 , Pages 559-573 ; 01432087 (ISSN) Abedini Najafabadi, H ; Shahrokhi, M ; Sharif University of Technology
    John Wiley and Sons Ltd 
    Abstract
    In this article, two adaptive model predictive controllers (AMPC) are applied to regulate the blood glucose in type 1 diabetic patients. The first controller is constructed based on a linear model, while the second one is designed by using a nonlinear Hammerstein model. The adaptive version of these control schemes is considered to make them more robust against model mismatches and external disturbances. The least squares method with forgetting factor is used to update the model parameters. For simulation study, two well-known mathematical models namely, Puckett and Hovorka which describe the dynamical behavior of patient's body have been selected. The performances and robustness of the... 

    A General Method for Noise Reduction in Active Filters

    , M.Sc. Thesis Sharif University of Technology Gharibdoust, Kiarash (Author) ; Sharif Bakhtiar, Mehrdad (Supervisor)
    Abstract
    Degradation of signal to noise ratio (SNR) in today's low voltage circuits has been a challenging problem for analogue circuit designing. This problem is produced due to supply voltage reduction and noise level consistency in today's analogue circuits. Great efforts have been done in literatures for noise reduction in some analogue circuits, like low noise amplifiers, but there is no general method for noise reduction in active filters and introduction of a general method for noise reduction in active filters which are in vast usage in all analogue circuits, has always been demanded by circuit designers. In this project, a general method for noise reduction in active RC filters is introduced... 

    Optimal Control of Batch Cooling Crystallizers Using Inversion Approach

    , M.Sc. Thesis Sharif University of Technology Amini, Younes (Author) ; Pishvaie, Mahmoud Reza (Supervisor)
    Abstract
    In batch cooling crystallization, the crucial control problem is to design a temperature trajectory which produces a desired crystal size distribution. Here, a completely different solution is presented. Designing model-based controller for crystallizer has two steps; first step is determining optimal temperature trajectory which is some kind of feedforward control, second step is adding feedback controller (with manipulated variable of jacket temperature or cooling flow) to track the set-point (determined in first step) and rejecting possible disturbances. Traditionally, determining optimal temperature of crystallizer is done by using calculus of variations of distributed system. In this... 

    Investigation on Application of Vibration and Sound Signals for Tool Condition Monitoring

    , M.Sc. Thesis Sharif University of Technology Rafezi, Hamed (Author) ; Behzad, Mehdi (Supervisor) ; Akbari, Javad (Supervisor)
    Abstract
    Tool Condition Monitoring (TCM) is a vital demand of advanced manufacturing in order to develop automated unmanned production. Tool condition has an essential influence on machined surface quality and dimension of manufactured parts. Continuing machining operation with a worn or damaged tool will result in damages to workpiece and even the machine tool itself. This problem becomes more important in supplementary machining processes like drilling in which the workpiece is usually at the final stages of production and any damage to workpiece at this stage is irreparable and results in high production losses. In this thesis, sound and vibrations signals are analyzed for drill wear detection.... 

    Blood Glucose Control in Human Body Using Model-Based Controllers

    , M.Sc. Thesis Sharif University of Technology Abedini Najafabadi, Hamed (Author) ; Shahrokhi, Mohammad (Supervisor)
    Abstract
    Continous blood glucose control has great importance for type 1 dyabetic patients. In this thesis, several types of controllers including: PI controller, model predictive controller base on state space model, linear model predictive controller base of linear input-output model and non-linear model predictive controller base of Hammerstein model have been used to regulate blood glucose of patients with type 1 diabetes. These models are identified using least squars method. Performance of these controllers is tested and the best one is introduced. For rejecting meal disturbances, a feedforward controller has been designed. Combination of feedback and feedforward controller would properly... 

    On the Use of Artificial Neural Networks in Automatic Speech Recognition

    , M.Sc. Thesis Sharif University of Technology Hassani, Adel (Author) ; Ghorshi, Mohammad Ali (Supervisor) ; Khayyat, Amir Ali Akbar (Supervisor)
    Abstract
    In this thesis, the Artificial Neural Networks (ANN) will be used in Automatic Speech Recognition (ASR) instead of Hidden Markov Models (HMM). Hidden Markov Model is one of the most dominant Bayesian network technologies and is the most successful model in current ASR systems. However, excessive training time is a major issue in speech recognition based on Hidden Markov Model (HMM). This thesis presents an Artificial Neural Network language model for human speech by mapping the spectral features of speech namely the formants, cepstrum (Mel-Frequency Cepstral Coefficients (MFCCs)) and Power Spectral Density (PSD) as features of samples of specific words into a discrete vector space. The... 

    Dynamical Modeling and Control of an XY Nano-Positioner with Flexural Mechanism

    , M.Sc. Thesis Sharif University of Technology Heravi, Mohammad (Author) ; Salarieh, Hasan (Supervisor) ; Nejat Pishkenari, Hossein (Supervisor)
    Abstract
    Nowadays, nano-positioners play an important role in advanced technologies, such as atomic force microscopy, genetic manipulation, nano-metrology, nano-fabrication, semi-conductors and etc.In this paper, a dynamical model has been derived for a nano-positioner. This nanopositioner was designed and fabricated in Sharif university of technology. In this paper the mentioned mechanism has been considered as a planar mechanism. First, a finite element model has been developed in Comsol multi-physics software. This model was used as the reference model in the next steps. Afterward, a 10 degrees of freedom model was proposed to estimate the Comsol model. The mass, stiffness, as well as damping... 

    Leakage Cancellation from Transmitter to Receiver

    , M.Sc. Thesis Sharif University of Technology Shokrekhodaei, Maryam Sadat (Author) ; Atarodi, Mojtaba (Supervisor) ; Safarian, Amin Ghasem (Supervisor)
    Abstract
    The wideband code-division multiple access (WCDMA) system has been widely used for the third-generation wireless communication system. It uses Frequency division duplexing for two-way communication by a transceiver. Although a duplexer will significantly suppress the TX leakage signal (50dB-60dB), a residual attenuated signal still remains at the receiver input and act as a strong blocker which reduces the sensitivity of the receiver. For reducing the effect of the TX leakage on the RX performance, a band pass RF SAW filter is typically inserted between the LNA and the mixer to reject the TX leakage. However, this filter increases the system cost and size. This encouraged us to propose a novel... 

    Model Predictive Control in the Presence of Model Uncertainty and Communication Imperfections: Application in Automated Irrigation Channels

    , M.Sc. Thesis Sharif University of Technology Rahmati Zadeh, Bahar (Author) ; Farhadi, Alireza (Supervisor)
    Abstract
    In this thesis, at first upstream transient error propagation and amplification phenomenon is introduced. Then, the previous methods to attenuate this phenomenon are presented. To overcome this drawback, a new method that is based on feed-forward and off-take disturbance estimation and lost data reconstruction in wireless communication is presented. In this thesis, an estimation of unknown off-take disturbance at the present time is approximated or in fact predicted using the last data. Also, in the presented method, the lost data is reconstructed using two different methods. At the end, the satisfactory performance of the proposed control method is illustrated by many computer simulations  

    Automatic Recognition of Quranic Maqams Using Machine Learning

    , M.Sc. Thesis Sharif University of Technology Khodabandeh, Mohammad Javad (Author) ; Sameti, Hossein (Supervisor) ; Bahrani, Mohammad (Supervisor)
    Abstract
    Automatic recognition of musical Maqams has been one of the challenging problems in Music Information Retrieval. Despite the increasing amount of related research in recent years, we are still far away from building related real-life applications. Nevertheless, a very small portion of these research is dedicated to automatic recognition of Maqams in recitation of the Holy Quran. In this thesis, as a first attempt, we have used machine learning methods to classify six Maqam families which are commonly used in Quran recitation. Also, due to the lack of pre-exisiting datasets, we have annotated approximately 1325 minutes of Tadwir recitation from two prominent Egyptian reciters, i.e., Muhammad... 

    Hybrid active noise control of a one-dimensional acoustic duct

    , Article Journal of Vibration and Acoustics, Transactions of the ASME ; Volume 124, Issue 1 , 2002 , Pages 10-18 ; 10489002 (ISSN) Esmailzadeh, E ; Alasty, A ; Ohadi, A. R ; Sharif University of Technology
    2002
    Abstract
    Based on the closed-form solution of a one-dimensional wave equation, the primary, secondary and acoustic feedback paths for the active control of sound in an acoustic duct have been investigated. Accurate models for the condenser microphone and loudspeaker, which include both the electro-mechanical and mechano-acoustical couplings as well as acoustical damping, have been considered. A generalized form of the filtered-x least mean square (FXLMS) algorithm that uses a more general recursive adaptive weight update equation to improve the performance of the FXLMS algorithm has been developed. Computer simulations were carried out to investigate the performance of acoustical feedback and... 

    Multi-channel adaptive feedforward control of noise in an acoustic duct

    , Article Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME ; Volume 126, Issue 2 , 2004 , Pages 406-415 ; 00220434 (ISSN) Esmailzadeh, E ; Ohadi, A. R ; Alasty, A ; Sharif University of Technology
    2004
    Abstract
    The single-reference/multiple-output active noise control (ANC) of the accurate physical model of an acoustic duct system, developed earlier by the authors [1] is investigated. An adaptive feedforward algorithm is developed that minimizes a generic cost function consisting of the p-norm of the error vector. A computer model of a multi-channel ANC system, with the tonal and sweep sine input signals, is established, and the results for different single-input/single-output (SISO) configurations (error microphone and secondary source locations) of the ANC system are compared. The dynamic response of the single-reference/multiple-output ANC systems, using the Minimax and MEFXLMS algorithms, is... 

    A neural network aided adaptive second-order gaussian filter for tracking maneuvering targets

    , Article ICTAI 2005: 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05, Hong Kong, 14 November 2005 through 16 November 2005 ; Volume 2005 , 2005 , Pages 439-446 ; 10823409 (ISSN); 0769524885 (ISBN); 9780769524887 (ISBN) Sadati, N ; Langary, D ; Sharif University of Technology
    2005
    Abstract
    The adaptive capability of filters is known to be increased by incorporating a neural network into the filtering procedure. In this paper, an adaptive algorithm for tracking maneuvering targets based on neural networks is proposed. This algorithm is implemented with two filters based on the current statistical model and a multilayer feedforward neural network. The two filters track the same maneuvering target in parallel and the neural network automatically considers all the state information of the two filters and adaptively adjusts the process variance of one of them to achieve better performance in different target maneuver tracking. Simulations results show that the proposed adaptive... 

    Neuromuscular control of the point to point and oscillatory movements of a sagittal arm with the actor-critic reinforcement learning method

    , Article Computer Methods in Biomechanics and Biomedical Engineering ; Volume 8, Issue 2 , 2005 , Pages 103-113 ; 10255842 (ISSN) Golkhou, V ; Parnianpour, M ; Lucas, C ; Sharif University of Technology
    2005
    Abstract
    In this study, we have used a single link system with a pair of muscles that are excited with alpha and gamma signals to achieve both point to point and oscillatory movements with variable amplitude and frequency. The system is highly nonlinear in all its physical and physiological attributes. The major physiological characteristics of this system are simultaneous activation of a pair of nonlinear musclelike- actuators for control purposes, existence of nonlinear spindle-like sensors and Golgi tendon organlike sensor, actions of gravity and external loading. Transmission delays are included in the afferent and efferent neural paths to account for a more accurate representation of the reflex... 

    Vibration of beams with unconventional boundary conditions using artificial neural network

    , Article DETC2005: ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Long Beach, CA, 24 September 2005 through 28 September 2005 ; Volume 1 A , 2005 , Pages 159-165 ; 0791847381 (ISBN); 9780791847381 (ISBN) Hassanpour Asl, P ; Esmailzadeh, E ; Mehdigholi, H ; Sharif University of Technology
    American Society of Mechanical Engineers  2005
    Abstract
    The vibration of a simply-supported beam with rotary springs at either ends is studied. The governing equations of motion are investigated considering the nonlinear effect of stretching. These equations are made non-dimensional and solved to the first-order approximation using the two known methods, namely, the multiple scales and the mode summation. The first five natural frequencies of the beam for different pairs of the boundary condition parameters are evaluated. A multilayer feed-forward back-propagation artificial neural network is trained using these natural frequencies. The artificial neural network used in this study shows high degree of accuracy for the natural frequency of the... 

    Adaptive nonlinear observer design using feedforward neural networks

    , Article Scientia Iranica ; Volume 12, Issue 2 , 2005 , Pages 141-150 ; 10263098 (ISSN) Dehghan Nayeri, M. R ; Alasty, A ; Sharif University of Technology
    Sharif University of Technology  2005
    Abstract
    This paper concerns the design of a neural state observer for nonlinear dynamic systems with noisy measurement channels and in the presence of small model errors. The proposed observer consists of three feedforward neural parts, two of which are MLP universal approximators, which are being trained off-line and the last one being a Linearly Parameterized Neural Network (LPNN), which is being updated on-line. The off-line trained parts are able to generate state estimations instantly and almost accurately, if there are not catastrophic errors in the mathematical model used. The contribution of the on-line adapting part is to compensate the remainder estimation error due to uncertain parameters... 

    Static and dynamic neural networks for simulation and optimization of cogeneration systems

    , Article 2006 ASME 51st Turbo Expo, Barcelona, 6 May 2006 through 11 May 2006 ; Volume 4 , 2006 , Pages 615-623 ; 0791842398 (ISBN); 9780791842393 (ISBN) Zomorodian, R ; Khaledi, H ; Ghofrani, M. B ; The International Gas Turbine Institute ; Sharif University of Technology
    2006
    Abstract
    In this paper, the application of neural networks for simulation and optimization of the cogeneration systems has been presented. CGAM problem, a benchmark in cogeneration systems, is chosen as a case study. Thermodynamic model includes precise modeling of the whole plant. For simulation of the steady sate behavior, the static neural network is applied. Then using dynamic neural network, plant is optimized thermodynamically. Multi layer feed forward neural networks is chosen as static net and recurrent neural networks as dynamic net. The steady state behavior of CGAM problem is simulated by MFNN. Subsequently, it is optimized by dynamic net. Results of static net have excellence agreement... 

    Neural control of a fully actuated biped robot

    , Article IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics, Paris, 6 November 2006 through 10 November 2006 ; 2006 , Pages 3104-3109 ; 1424401364 (ISBN); 9781424401369 (ISBN) Sadati, N ; Hamed, K. A ; Sharif University of Technology
    IEEE Computer Society  2006
    Abstract
    According to the fact that humans and animals show marvelous abilities in walking on irregular terrain, there is a strong need for adaptive algorithms in walking of biped robots to behave like them. Since the stance leg can easily rise from the ground and it can easily rotate about the toe or the heel, the problem of controlling the biped robots is difficult. In this paper, according to the adaptive locomotion patterns of animals, coordination and control of body links have been done with Central Pattern Generator (CPG) in spinal cord and feedback network from musculoskeletal system. A one layer feedforward neural network that its inputs are the scaled joint variables and the touch sensors...