Narendra Kumar

FORE School of Management · University Library

Rotary inverted pendulum (RotIP) innates unstable and underactuated behaviour that is helpful in the realisation of many real-world problems. It is very challenging to identify and control the dynamics of RotIP system due to its nonlinear, complex, underactuated and unpredictable nature. The primary objective of this work is to improve the swing-up...

This research article presents an artificial neural network (ANN)‐based indirect adaptive control method for nonlinear dynamical systems. In this article, a modified Elman recurrent neural network (MERNN) is proposed as an identifier and controller for controlling nonlinear systems. The architecture of the proposed controller is a modified form of...

This study compares three different recurrent neural network topologies in order to assess their estimated capabilities. The three neural networks under detailed examination are the Elman recurrent neural network (ERNN), the diagonal recurrent neural network (DRNN), and the Jordan recurrent neural network (JRNN). A dynamical backpropagation algorit...

Ball balancer system is an electromechanical nonlinear system which has innate unstable and underactuated behaviour that can be helpful in realisation of both position tracking and balancing control problem in robotic systems analysis. This article presents the modelling, design, control and affirmation of 2-DOF ball balancer system. Different comp...

This paper proposes a particle swarm optimization (PSO) tuned novel proportional integral derivative (PID) like neural network (PSO-PID-NN), to control the temperature of a nonlinear jacketed continuous stirred tank reactor (CSTR). The nonlinear continuous stirred tank reactor (CSTR) plant is one of the most popular reactors in the chemical industr...

This article covers the 100 years of development of three-colored four-way traffic lights. The product is reviewed using a six-prong strategy and almost all aspects like hardware development, development of standards, and development of algorithms are covered.

This work presents a continuous Linear Quadratic Gaussian (LQG) controller based on the optimal control strategy for swinging-up the rotary inverted pendulum and maintaining an equilibrium in the vertical upward position, both using simulation and experimentation. The trajectories and optimal control with sufficient weights are approximated using n...

Effective management of daily road traffic is a huge challenge for traffic personnel. Urban traffic management has come a long way from manual control to artificial intelligence techniques. Still real-time adaptive traffic control is an unfulfilled dream due to lack of low cost and easy to install traffic sensor with real-time communication capabil...

In this paper, a novel Modified Jordan Recurrent Neural Network (MJRNN) model is presented to identify complex nonlinear dynamical systems. The nonlinear dynamic system identification using artificial neural networks is the most commonly used method in control system engineering, due to their capabilities. The structure of the presented model is an...

This paper proposes a Particle Swarm Optimization (PSO) tuned novel Proportional Integral Derivative (PID) like neural network (PID-NN). The structure of proposed PID-NN is very simple having only 3 neurons in the hidden layer and a single output neuron. The proportional, integral, and derivative gains of the PID controller are represented by the t...

Effective management of daily road traffic is a huge challenge for traffic personnel. Urban traffic management has come a long way from manual control to artificial intelligence techniques. Still real-time adaptive traffic control is an unfulfilled dream due to lack of low cost and easy to install traffic sensor with real-time communication capabil...

Paper ID 1135 at APSCON 2023

Measurement of traffic volume and control of traffic signal timing using various technologies like inductive loops, pressure plates or tubes and vision-based systems are common. Many of these sensing technologies are non-intrusive. In this paper, the Author’s present an exploration of the Bluetooth devices and scanners and attempt to fabricate one...

Abstract—This paper presents the collecting of solar energy by using the flyback converter method. This method is applied for the inverter to increase output voltage of Photovoltaic module. Since the conventional inverters have large size and low efficiency. So, as to overcome this drawback a flyback converter is designed, connected in paralle...