This paper presents a case for adopting agent-based modeling (ABM) as a framework for representing the complex interactions that occur within the context of urban infrastructure management. A generic ABM is proposed with four key agents namely; assets, users, operators and politicians. For each agent a set of generic attributes, actions and behaviors are defined. A detailed behavioral model is adapted from the service quality domain to represent customer perceptions and actions related to infrastructure level of service. An illustrative example of 20 assets and 50 user agents is simulated to

The system of equations of the generalized piezothermoelasticity in anisotropic medium with dual-phase-lag model is established. The exact expressions for displacement components, the temperature, stress components, electric potential and electric displacements are given in the physical domain and illustrated graphically. These expressions are calculated numerically for the problem. Comparisons are made with the results predicted by Lord–Shulman theory and dual-phase-lag model. It is shown that the results from both theories are close to each other for thin slabs, while they differ

We present a numerical solution by finite differences to a linear, plane, initial-boundary-value problem of thermo-piezoelasticity in a quarter-space, within the dual-phase-lag model. Motion is excited by a one-period heat regime applied to one boundary of the medium. The relation between the two relaxation times is clarified in order to obtain wave-like solutions. An explicit, three-level numerical scheme is proposed to solve the problem under concrete initial and boundary conditions. The obtained results are discussed and three-dimensional plots of the unknown functions are presented. They

This paper seeks to improve the photovoltaic (PV) system efficiency using metaheuristic, optimized fractional order incremental conductance (FO-INC) control. The proposed FO-INC controls the output voltage of the PV arrays to obtain maximum power point tracking (MPPT). Due to its simplicity and efficiency, the incremental conductance MPPT (INC-MPPT) is one of the most popular algorithms used in the PV scheme. However, owing to the nonlinearity and fractional order (FO) nature of both PV and DC-DC converters, the conventional INC algorithm provides a trade-off between monitoring velocity and

In this paper we implement and evaluate two ways of controlling the steering angle of an autonomous vehicle, PID control with manual tuning followed by gradient descent algorithm tuning-which is able to enhance the performance through self-adjusting the controller parameters-and using supervised machine learning through the end-to-end deep learning for self-driving car which implement Convolutional Neural Network (CNN) to predict the steering angle for a given instance of a track. The verification testing went through two phases: software simulation using python for first run testing and C++

This paper is focusing on the problem of the Self balancing robot which has many potentials due to its power consumption and maneuverability advantages. Modelling and controlling of the two-wheeled self-balancing robot is presented. For modelling part, two models were used in compare with a real proposed robot. At first, mathematical model was driven and the state space was achieved to model the plant of the system. Second, Nonlinear Autoregressive Exogenous (NARX) Neural Network model is introduced using recorded data architecture-based as it is used in time-series modeling for many reported

The purpose of this article is to present a theoretical and practical implementation of a fuzzy algorithm methodology to control a mobile manipulator path planning using a real-time vision system tracking. To meet high performance response and robust stability of the platform navigation, a fuzzy logic controller is designed with realistic constrains. OpenCV library is used to implement Background Modeling technique to track in real time a color object and to extract its (X, Z) coordinates, then an ultrasonic sensor is coupled with the camera to calculate the depth “Y” of the tracked object

This paper compares the performance of four different controllers implemented on two multi agent robots to stabilize its motion from one station to another during delivery tasks. The controllers are; multi-position controller, PID controller, fuzzy logic controller and fuzzy-PID controller. The aim of this paper is to control the mobile robot robustly to arrive its target destination. The robots and station coordinates are recognized using machine vision system and all programming is carried out in LabVIEW. The paper compares the transient response and steady state error of each of controller

The present study focuses on the effect of the wall heat loss on a confined swirling diffusion flame. The objective is to assess the effect of changing the wall thermal boundary condition (i.e., from isothermal to adiabatic) on the flow structure, the flame shape, and the mixing behavior. Reynolds-averaged Navier–Stokes equations are solved. The diffusion flamelet model is employed in the simulation. The comparison of the numerical and experimental axial wall heat flux distributions shows a good agreement. The inner recirculation zone (IRZ) is shorter in the case of the adiabatic wall. It

This paper represents the control of a two-wheel self-balancing robot based on the theory of controlling the inverted pendulum. This paper dividing the system modeling into two main parts. The first part is the dc motor and the second part are the whole mechanical design and its characteristics as a function in the motor speed and the torque depending on the system, creating two control closed loops inner and outer. The study uses conventional proportional–integral–derivative (PID) and two degree of freedom PID controllers to obtain a robust controller for the system. The inner loop controls