College of Engineering, Pune

About: College of Engineering, Pune is a based out in . It is known for research contribution in the topics: Computer science & Sliding mode control. The organization has 4264 authors who have published 3492 publications receiving 19371 citations. The organization is also known as: COEP.

Model predictive control for fractional-order system a modeling and approximation based analysis

Abstract: A widely recognized advanced control methodology model predictive control is applied to solve a classical servo problem in the context of linear fractional-order (FO) system with the help of an approximation method In model predictive control, a finite horizon optimal control problem is solved at each sampling instant to obtain the current control action The optimization delivers an optimal control sequence and the first control thus obtained is applied to the plant An important constituent of this type of control is the accuracy of the model For a system with fractional dynamics, accurate model can be obtained using fractional calculus One of the methods to implement such a model for control purpose is Oustaloup's recursive approximation This method delivers equivalent integer-order transfer function for a fractional-order system, which is then utilized as an internal model in model predictive control Analytically calculated output equation for FO system has been utilized to represent process model to make simulations look more realistic by considering current and initial states in process model The paper attempts to present the effect of modeling and approximations of fractional-order system on the performance of model predictive control strategy

BER performance of OFDM system with adaptive modulation

Abstract: Orthogonal Frequency Division Multiplexing (OFDM) is a multicarrier transmission scheme. OFDM transmits data by using a large number of narrow bandwidth carriers. In an OFDM transmission system, each subcarrier is attenuated individually under the frequency-selective and fast fading channel if the same fixed transmission scheme is used for all OFDM subcarriers thus it results in highest attenuation and hence poor performance. The purpose of this paper is to introduce the adaptive modulation to get an understanding of the differences between fixed and adaptive modulations schemes. In this work adaptive modulation is implemented by dividing whole subcarriers into blocks of adjacent subcarriers. Based on calculated average instantaneous signal to noise (SNR) same modulation scheme is applied to all subcarriers of same block. Here average bit error rate (BER) performance of OFDM system under fixed modulation and adaptive modulation is observed. Average BER performance of these modulation techniques is observed with various inverse fast Fourier transform (IFFT) size and using simpler adaptive quadrature amplitude modulation (QAM) schemes. The simulation results show that BER performance of OFDM system using adaptive modulation is better than fixed modulation.

Abandoned Object Detection Using Pixel-Based Finite State Machine and Single Shot Multibox Detector

Abstract: This paper proposes a robust, scalable framework for automatic detection of abandoned, stationary objects in real time surveillance videos that can pose a security threat. We use the sViBe background modeling method to generate a long-term and a short-term background model to extract foreground objects. Subsequently, a pixel-based FSM detects stationary candidate objects based on the temporal transition of code patterns. In order to classify the stationary candidate objects, we use deep learning method (SSD: Single Shot MultiBox Detector) to detect person and some suspected type of objects which include backpack, handbag. In order to suppress any false alarm, we remove other stationary candidate objects other than the suspected stationary objects. After stationary object detection, we also check if there is no person near by the suspected detected objects for a particular time. We tested the system on four standard public datasets. The results show that our method outperforms the performance of existing results while also being robust to temporary occlusions and illumination changes.

A new approach to a sliding mode controller design for a magnetic levitation system

Abstract: The problem of precisely controlling the position of a ferromagnetic ball above the ground by levitating it against the force of gravity using an electromagnet is of interest because the magnetic levitation system is open loop unstable and highly nonlinear. We have designed a sliding mode controller based on the concept of a proportional integral switching surface for this application. Furthermore, we have compared the proportional integral sliding mode controller and a feedback linearization controller for their performance in controlling the ball position in the presence of parametric and matched uncertainties. Simulation results show that the proportional integral sliding mode controller is more effective than a feedback linearization controller.