{"title":"A column-generation-based heuristic for passenger recovery problem considering multi-flights and seat-sharing constraints","authors":"Haiquan Wang, Xingye Dong, Youfang Lin","doi":"10.1109/ICCAD49821.2020.9260523","DOIUrl":"https://doi.org/10.1109/ICCAD49821.2020.9260523","url":null,"abstract":"When facing flight delay or cancelation, airlines need to reassign affected passengers to other flights. In this paper, we model the passenger recovery problem as an integer program considering multi-flights and seat-sharing constraints. Correspondingly, we present a branch-and-price heuristic based on column generation framework to solve the passenger recovery problem. The framework consists of a master problem for selecting recovery schemes for passengers and subproblems for generating recovery schemes. Multi-flights constraints are considered in the subproblem, and seat-sharing constraints are considered in the master problem. Experimental results demonstrate that our method solves the passenger recovery problem with quite small gaps and significantly improves the satisfaction of passengers while balancing the financial cost of airlines within reasonable computing time.","PeriodicalId":270320,"journal":{"name":"2020 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124531801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A proposed Petri-net extension to analyze risk for evolving systems using an agent model","authors":"H. Kanj, Y. Kotb, J. Flaus","doi":"10.1109/ICCAD49821.2020.9260556","DOIUrl":"https://doi.org/10.1109/ICCAD49821.2020.9260556","url":null,"abstract":"For a static system with a limited complexity, risk analysis releases often on event graphs model (e.g fault tree), and risk assessment is based on the event probability and its consequences. This method is static in numerous cases whilst the treated events are time dependent. In addition, it is important to notice that a system or activity failure can change the behavior of the entire system and especially for re-configurable systems. So, to have a good risk assessment, analysis-based simulation is a good solution.This paper describes a generic approach using agent-based modeling and simulation for risk analysis based on petri-nets (RAPN). It presents a new petri-net extension that shows the dynamic behavior of an agent to deal with failure situations according to a predefined behaviour set. The new extension represents the dynamic behavior of agent variables, modes and behavior set. The interaction among those components is concurrent and that is why petri-net model is chosen to represent it and control it. The task of determining which failure mode is used, is mathematically defined. The validity of the proposed model is illustrated through a set of Theorems and Lemmas. A case-study for risk analysis for dangerous good transportation is shown.","PeriodicalId":270320,"journal":{"name":"2020 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116680207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmed Oultiligh, H. Ayad, C. Pozna, G. Mogan, Mohammed ELbouzekraoui, Badr ELkari
{"title":"Obstacle Avoidance using Fuzzy Controller for Unicycle Robot","authors":"Ahmed Oultiligh, H. Ayad, C. Pozna, G. Mogan, Mohammed ELbouzekraoui, Badr ELkari","doi":"10.1109/ICCAD49821.2020.9260553","DOIUrl":"https://doi.org/10.1109/ICCAD49821.2020.9260553","url":null,"abstract":"Obstacle avoidance, researching goal, and the path planning are the most important tasks for an autonomous mobile robot which moves in an uncertain environment, this paper presents a method of a fuzzy controller to control the robot to avoid all fixed and mobile obstacles. The objective is the control and programming of a mobile robot with obstacle avoidance using fuzzy logic. This robot can be controlled by a human-machine interface or by a keyboard. Communication between the human-machine interface and Robot is done by using wireless communication. Ultrasonic sensors and infrared sensors will be used to measure the distances between the robot and the obstacles in different directions. This robot can avoid collision with obstacles by intelligent reasoning using fuzzy logic.","PeriodicalId":270320,"journal":{"name":"2020 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116239264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Residual Convolutional Neural Networks Model For Image Denoising On Real Time","authors":"Rania Kallel, A. Salem, H. Ghézala","doi":"10.1109/ICCAD49821.2020.9260531","DOIUrl":"https://doi.org/10.1109/ICCAD49821.2020.9260531","url":null,"abstract":"This Nowadays, deep learning is one of the most used technique for image denoising until it outperforms so far, all other denoising methods. However, this method requires a lot of computing power, so it’s quite difficult to achieve real-time deep learning denoisers especially on edge devices like embedded systems and mobile phones. In this paper, we proposed a deep learning denoiser that works in real-time on a Raspberry Pi 3B+, 1GB of ram, to increase in real-time the incoming noisy video from a Raspberry Pi Camera frame per frame, where each frame is an RGB image if size 256x256. We used a residual denoiser that extracts the noise and enhance the quality of obtained images. In fact, the proposed architecture has a very small size that can fit easily on any edge device. Furthermore, many optimization techniques were applied on the denoiser so it can run faster on a very limited computing resource. Each denoised frame where uploaded directly to a Microsoft storage service.","PeriodicalId":270320,"journal":{"name":"2020 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"386 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129664050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-Model Convolutional PFC for the Control of Activated Sludge Reactors","authors":"Lamia Matoug, M. Khadir","doi":"10.1109/ICCAD49821.2020.9260538","DOIUrl":"https://doi.org/10.1109/ICCAD49821.2020.9260538","url":null,"abstract":"This paper investigates the use of Predictive Functional Control algorithm by replacing the classical internal model with an impulse response of the process under control as Convolutional Predictive Functional Control Conv-PFC. Convolution functional control has been successfully applied in industry. The use of the Conv-PFC to a reduced bio-reactor activated sludge ASM1 model, which describes the biological degradation of an activate sludge reactor, is designed based on several simplifications, as a TS model, witch structure is based on a set of linear sub models, covering the process input-output space, interpolated by a nonlinear weighting function. The Conv-PFC controller is compared to a benchmark PID in terms of error and response dynamics.","PeriodicalId":270320,"journal":{"name":"2020 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126133024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Labdai, L. Chrifi-Alaoui, S. Drid, L. Delahoche, P. Bussy
{"title":"Real-Time Implementation of an Optimized Fractional Sliding mode Controller on the Quanser-Aero helicopter","authors":"S. Labdai, L. Chrifi-Alaoui, S. Drid, L. Delahoche, P. Bussy","doi":"10.1109/ICCAD49821.2020.9260546","DOIUrl":"https://doi.org/10.1109/ICCAD49821.2020.9260546","url":null,"abstract":"This paper examines the performance of an optimized fractional sliding mode controller on the two degrees of freedom (2-DOF) Quanser AERO helicopter testbed. In order to reduce the chattering inherited from the classical sliding mode, the sliding surface will be chosen in a fractional hyperplane. We will prove via a rigorous Lyapunov-based analysis the convergence of the Quanser aero angles to the desired ones, and we will guarantee the robustness against external perturbations. The surface fractional order and the designed controller parameters and will be chosen via the genetic algorithm optimization method, the cost function will be chosen in order to minimize both the chattering and the tracking errors. The results of this work will be illustrated through numerical simulations and experimental application on the Quanser AERO Helicopter testbed.","PeriodicalId":270320,"journal":{"name":"2020 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126339028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. A. Saleh, Mennaallah Soliman, H. Ammar, Mohamed A. Wahby Shalaby
{"title":"Modeling and control of 3-omni wheel Robot using PSO optimization and Neural Network","authors":"M. A. Saleh, Mennaallah Soliman, H. Ammar, Mohamed A. Wahby Shalaby","doi":"10.1109/ICCAD49821.2020.9260509","DOIUrl":"https://doi.org/10.1109/ICCAD49821.2020.9260509","url":null,"abstract":"Omni mobile robots are one of the mobile robots that interact with humans in many areas where it is needed to be collaborative and accurate. Committing robotics with artificial intelligence-based controllers became nowadays mandatory for more association of these robots with distinct environments. This paper proposes the distinction of the 3WD Omni Vision feedback model between Simscape and actual information to obtain a surmised model. Study applying some artificial control procedures on this model for path planning and speed control as the artificial neural system and PSO optimization techniques for PID error and contrast these outcomes and compare them with conventional PID and Fuzzy Control techniques.","PeriodicalId":270320,"journal":{"name":"2020 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"647 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122700460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulation Environment Configuration of Autonomous Driving Software Platform Using Driving Simulator","authors":"Hoseung Choi, Dongyeon Yu, Sung-Ho Hwang","doi":"10.1109/ICCAD49821.2020.9260567","DOIUrl":"https://doi.org/10.1109/ICCAD49821.2020.9260567","url":null,"abstract":"As the interest in autonomous vehicles increases rapidly, the necessity of an evaluation environment for verifying and evaluating the safety of autonomous vehicles and technology-equipped vehicles is emerging. In order to reflect the increasing number and complexity of electronic systems, various climatic conditions, and driving styles of drivers, various open source simulators have emerged in connection with autonomous driving technology testing. These simulators use 3D maps to perform autonomous driving algorithm tests. This paper proposes a method of generating a 3D point map that is a driving environment of an autonomous driving simulator using a LiDAR sensor provided by a driving simulator.","PeriodicalId":270320,"journal":{"name":"2020 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128177391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Novel Online Parameter Identification Method for Unsaturated Wound-Rotor Induction Machine","authors":"F. Okou, D. Nganga-Kouya","doi":"10.1109/ICCAD49821.2020.9260543","DOIUrl":"https://doi.org/10.1109/ICCAD49821.2020.9260543","url":null,"abstract":"This paper presents an innovative approach to estimate the unknown parameters of a wound-rotor induction machine. The main advantage of the proposed algorithm is that estimated values converge to exact machine parameter values without any condition on the sufficiently richness of the input voltage. The algorithm is tested in simulation and compared to the recursive least squares method. Results show a superior performance for the proposed identification method. The converge to exact values is extremely fast.","PeriodicalId":270320,"journal":{"name":"2020 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114785463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sensorless Control of Flywheel Energy Storage System with an Extended Complex Kalman Filter for Wind Application","authors":"L. Hocine, M. Menaa, K. Yazid","doi":"10.1109/ICCAD49821.2020.9260500","DOIUrl":"https://doi.org/10.1109/ICCAD49821.2020.9260500","url":null,"abstract":"This paper presents a short time storage based on a flywheel with a squirrel cage induction machine (IM) without speed sensor. For the sensorless control of this IM-based flywheel energy storage system (FESS) a speed estimation method based on an extended complex Kalman filter (ECKF) is proposed, Simulation tests on the behavior of the system of linked flywheel storage and wind generator connected to the grid are presented. Results show the efficiency of the proposed sensorless control technique along with the FESS contribution to smooth the active power fluctuations of wind generation.","PeriodicalId":270320,"journal":{"name":"2020 International Conference on Control, Automation and Diagnosis (ICCAD)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130171758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}