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Global Robust Stability Analysis for Hybrid BAM Neural Networks 混合BAM神经网络的全局鲁棒稳定性分析
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362980
N. M. Thoiyab, P. Muruganantham, N. Gunasekaran
{"title":"Global Robust Stability Analysis for Hybrid BAM Neural Networks","authors":"N. M. Thoiyab, P. Muruganantham, N. Gunasekaran","doi":"10.1109/CMI50323.2021.9362980","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362980","url":null,"abstract":"In this paper, we study some new sufficient criteria on global stability analysis for the hybrid bidirectional associative memory (BAM) neural networks with multiple time delays. The ultimate focus of this paper is to derive some new generalized sufficient criteria for the global asymptotic robust stability (GARS) of equilibrium point of the time-delayed BAM neural networks. The obtained sufficient conditions are always independent on the delay of system parameters of hybrid BAM neural networks. Finally, numerical example has been given to explain the effectiveness of our results in terms of network parameters.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116908073","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}
引用次数: 3
Computer Vision based Obstacle Identification using Real-Time Illumination Sensor Data 基于实时照明传感器数据的计算机视觉障碍物识别
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362734
Arijit Ghosh, P. Kundu, G. Sarkar
{"title":"Computer Vision based Obstacle Identification using Real-Time Illumination Sensor Data","authors":"Arijit Ghosh, P. Kundu, G. Sarkar","doi":"10.1109/CMI50323.2021.9362734","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362734","url":null,"abstract":"In this study, an IoT based system is developed to monitor obstacles at the indoor surface using mobile sensors in a client-server wireless network. An IR transceiver system gives the positional information and light intensity sensor measures the lux values. An embedded wifi enabled microcontroller is interfaced with the sensors and performs as the client system. The client module is placed over the roof of a car and when it moves through a particular indoor space, it collects the positional illumination data and transmit them to the server unit. The captured sensor values are stored in server laptop as MS-Excel file under the influence of a wifi router. By using offline processing, the real-time sensor data is converted into an image and filtering methods are applied for linear and nonlinear noise removal. Then, edge detection techniques like Canny, Prewitt, Sobel, and Roberts methods are applied to detect the presence of obstacles. The study is repeated for another room to find out the best possible obstacle identification method. Finally, it was concluded that the Canny’s algorithm provides the most accurate identification of static obstacles for both the rooms.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122355917","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}
引用次数: 4
Motion Control of an Internally-Actuated Cubical Robot Balancing on Its Edge 边缘平衡内驱动立方体机器人的运动控制
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362825
S. Patil, Sananda Chatterjee, S. Bhaumik
{"title":"Motion Control of an Internally-Actuated Cubical Robot Balancing on Its Edge","authors":"S. Patil, Sananda Chatterjee, S. Bhaumik","doi":"10.1109/CMI50323.2021.9362825","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362825","url":null,"abstract":"The Internally-Actuated robots have recently gained popularity due to their ability of achieving controlled mobility (via moving or spinning internal inertial elements) even in milli/ micro gravity environment. In this paper such an internally actuated robot, cubical in shape, is considered and the dynamical equation of the robot is obtained. Aiming to achieve features like controlled tumbling and balancing on the edges, which are necessary for such robots to effectively execute their popular applications such as exploration of smaller solar-system bodies and self assembly of group robots, a stabilizing controller is proposed. The performance and robustness results of the proposed controller are also presented. The comparison results obtained, indicate the superiority of the proposed controller over the ones available in the literature.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130349505","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}
引用次数: 0
Wood Moisture Content Measurement using planar Capacitive Sensors 用平面电容式传感器测量木材含水率
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362964
B. Oommen, J. Philip
{"title":"Wood Moisture Content Measurement using planar Capacitive Sensors","authors":"B. Oommen, J. Philip","doi":"10.1109/CMI50323.2021.9362964","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362964","url":null,"abstract":"Wood is an extensively used material. Assessment of wood moisture content is crucially essential as variations in moisture content values causes shrinkage or swelling of the material leading to decay or fungi growth. A low-cost planar capacitive transducer is proposed that provides quick and noninvasive measurement of wood moisture. The sensor is patterned as a spiral electrode over FR4 substrate. The content of moisture in 5 species of wood specimens in the range of 0– 82% has been examined. Thus, the research investigates the feasibility of wood moisture content determination using planar capacitive structures.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121936408","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}
引用次数: 0
Meteorological Data Driven Prediction of Global Solar Radiation 全球太阳辐射的气象数据驱动预测
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362766
Bishnu Dalal, A. Bagui, S. Sengupta
{"title":"Meteorological Data Driven Prediction of Global Solar Radiation","authors":"Bishnu Dalal, A. Bagui, S. Sengupta","doi":"10.1109/CMI50323.2021.9362766","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362766","url":null,"abstract":"This paper aims at prediction of global solar radiation (GSR) using artificial neural network (ANN) model. Various meteorological parameters such as relative humidity, average air temperature, wind speed, wind direction, dew point and atmospheric pressure contribute to estimation of global solar radiation. A search has been carried out to find the strongly correlated variables which contribute more to this assessment. On that basis, an ANN model is devised for the prediction of GSR. The results are compared with those obtained using multiple linear regression (MLR) model. The performances of the models are checked using various statistical parameters such as mean absolute deviation (MAD), mean square error (MSE), root mean square error (RMSE), mean absolute percentage error (MAPE) and correlation coefficient (R). A comparison of the predicted values obtained from the two methods and the actual values obtained from a weather monitoring station shows that the developed ANN model generates values closer to actual. The best MAPE calculated by using ANN model is 2.851%.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121603349","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}
引用次数: 0
Application of Swarm Intelligence Algorithms to Optimize the Power Consumption Model 群体智能算法在电力消耗模型优化中的应用
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362833
P. Matrenin, A. Khalyasmaa, S. Eroshenko, A. Rusina
{"title":"Application of Swarm Intelligence Algorithms to Optimize the Power Consumption Model","authors":"P. Matrenin, A. Khalyasmaa, S. Eroshenko, A. Rusina","doi":"10.1109/CMI50323.2021.9362833","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362833","url":null,"abstract":"This paper presents the problem of power consumption mathematical model development using the Pamir, the region of Tajikistan, as a case. The model view illustration describing the load curve is known, it is required to find the model parameters values. The paper compares three approaches: manual selection; deterministic method based on Fourier transform with local gradient search; meta-heuristic swarm algorithms. It is shown that swarm algorithms, due to their multipurposeness and scalability, make it possible to obtain more accurate models with less labor costs. But it is necessary to use several swarm algorithms, since it is impossible to determine in advance which one will be the best solution for a specific task. The results were confirmed by the application for the load curves of the UPS of Siberia.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131196701","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}
引用次数: 0
Elimination of Initial undershoot of Non-minimum Phase System using Model Reference Adaptive Control 用模型参考自适应控制消除非最小相位系统的初始欠冲
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362946
M. Pal, R. K. Barai, G. Sarkar, Tamal Roy
{"title":"Elimination of Initial undershoot of Non-minimum Phase System using Model Reference Adaptive Control","authors":"M. Pal, R. K. Barai, G. Sarkar, Tamal Roy","doi":"10.1109/CMI50323.2021.9362946","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362946","url":null,"abstract":"Initial undershoot is an unavoidable and undesirable common phenomenon in the step response of the Non-minimum phase (NMP) system and it creates difficulties in tracking control of the NMP system. Odd and even number of right half-plane (RHP) zeros of transfer function model of the NMP system produce initial undershoot and overshoot respectively and it creates an obstacle in the tracking control of the NMP system. To overcome these difficulties, the Lyapunov-based Model Reference Adaptive Control (MRAC) has been suggested here and the novelty of this technique is that it not only nullifies undershoots and overshoots, but it also tracks the reference input trajectory simultaneously. Different SISO NMP systems have been considered for the verification of suggested control methodology and one benchmark two input two output (TITO) NMP system has been considered to strengthen its claim on the elimination of unacceptable initial undershoot of the NMP system in MATLAB simulation environment.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128858084","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}
引用次数: 0
Fibonacci Path Planning Algorithm for Robotic Waiters 机器人服务员的斐波那契路径规划算法
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362960
C. Sowmya, A. S. Menon, Garapati Sri Maanvitha, Sharan Vijayraghavan, M. Jayakumar
{"title":"Fibonacci Path Planning Algorithm for Robotic Waiters","authors":"C. Sowmya, A. S. Menon, Garapati Sri Maanvitha, Sharan Vijayraghavan, M. Jayakumar","doi":"10.1109/CMI50323.2021.9362960","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362960","url":null,"abstract":"This paper portrays the idea and implementation of Robotic Waiters. This project implements a path planning algorithm for hotel management. Usually, we find humans serving food at the restaurants, sometimes there might be errors while delivering the food at the defined table or serving wrong order at a wrong table. So, to overcome these errors, we have tried to implement a prototype of Robotic Waiter to serve the food. With Raspberry pi as the main controller, we have integrated L298N motor driver and IR sensor array. The Robotic Waiter works on a path planning algorithm, “Fibonacci algorithm”, to count the table number through which it can check if the entered table exists or not. This method aims in reducing the work of going to each table and check for its existence. Further the line following algorithm makes the robot to follow the laid track properly.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129071177","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}
引用次数: 2
A Self-Calibration Circuit for the Resistance Measurement of Parallel R-C sensor 一种用于并联rc传感器电阻测量的自校准电路
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362820
K. Elangovan, C. Anoop
{"title":"A Self-Calibration Circuit for the Resistance Measurement of Parallel R-C sensor","authors":"K. Elangovan, C. Anoop","doi":"10.1109/CMI50323.2021.9362820","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362820","url":null,"abstract":"A simple, relaxation oscillator based digital interface circuit for resistance measurement is proposed in this article. The proposed circuit has the merits of (i) independent from capacitor drifts (ii) independent from parasitic capacitance effect (iii) low complexity and non-requirement of a control unit (iv) less effect due to the circuit non-idealities. The methodology and the theoretical evaluation of the proposed circuit are discussed in this article and later, it is verified using simulation studies. These studies state that the proposed scheme gives better linearity (0.04 % nonlinearity) and the effect of error sources is less for a wide range of sensor resistances.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126244083","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}
引用次数: 1
Optimal Tuning of Model Predictive Controller using Chicken Swarm Optimization for Real-time Cultivation of Escherichia coli 基于鸡群优化的模型预测控制器在大肠杆菌实时培养中的最优调整
2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI) Pub Date : 2021-01-08 DOI: 10.1109/CMI50323.2021.9362832
M. Chitra, N. Pappa
{"title":"Optimal Tuning of Model Predictive Controller using Chicken Swarm Optimization for Real-time Cultivation of Escherichia coli","authors":"M. Chitra, N. Pappa","doi":"10.1109/CMI50323.2021.9362832","DOIUrl":"https://doi.org/10.1109/CMI50323.2021.9362832","url":null,"abstract":"Bioreactor plays a significant role in many industries such as pharmaceuticals, food products, etc. as these processes depend on the microorganisms. High biomass yield can generally be achieved by operating the bioreactor in fed-batch mode, with an effective model and a suitable advanced control scheme. Modeling a fed-batch bioreactor is a challenging task due to its nonlinear and dynamic behavior. In this work, a hybrid model is developed based on the experimental data collected from a bioreactor that describes the dynamic behavior of aerobic fed-batch cultures of Escherichia coli (E. coli). The biomass profile obtained from hybrid model with GA based feed profile input is used as the desired set point for the Model Predictive Controller (MPC). The parameters of MPC are tuned using Chicken Swarm Optimization (CSO) algorithm. The controller thus designed to obtain maximum biomass concentration uses a predictive model and dynamically updates the feed profile. The real-time automation strategy developed by the authors using LabVIEW (Laboratory Virtual Instrument Engineering Workbench) platform is capable of controlling the key variables such as temperature, Dissolved Oxygen (DO), pH, and antifoam simultaneously during fermentation. The implementation of this optimally tuned controller with optimal set point profile improves the biomass concentration significantly during the fed-batch operation of the bioreactor.","PeriodicalId":142069,"journal":{"name":"2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126437988","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}
引用次数: 0
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