In this article, we have explored effect of scaling length on passive voltage amplification in hetero structure. We have studied effect of scaling on ferroelectric capacitor, reducing the length of capacitor leads to reduction in span of negative capacitance region, which can be authenticated by charge, voltage and energy landscape curves. Also, reducing the length of heterostructure leads to decrease in flatness of energy landscape which indicates decrease in capacitance of heterostructure, which is also responsible for reduction of voltage amplification in heterostructure. Further we have studied dynamic response of hetero structure by applying a input triangular pulse (Vs) of 4 V (peak amplitude) (0V → 4V → 0V) and 100 MHz frequency. Results clearly indicated absolute voltage amplification is obtained in heterostructure. Also, it has been observed scaling the length of heterostructure leads to decrease in passive voltage amplification heterostructure.
{"title":"Effect of Scaling on Passive Voltage Amplification in FE-DE Hetero Structure","authors":"Bhaskar Awadhiya, P. Kondekar, Sameer Yadav, Pranshoo Upadhyay, Rajeewa Kumar Jaisawal, Sunil Rathore","doi":"10.1109/CAPS52117.2021.9730503","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730503","url":null,"abstract":"In this article, we have explored effect of scaling length on passive voltage amplification in hetero structure. We have studied effect of scaling on ferroelectric capacitor, reducing the length of capacitor leads to reduction in span of negative capacitance region, which can be authenticated by charge, voltage and energy landscape curves. Also, reducing the length of heterostructure leads to decrease in flatness of energy landscape which indicates decrease in capacitance of heterostructure, which is also responsible for reduction of voltage amplification in heterostructure. Further we have studied dynamic response of hetero structure by applying a input triangular pulse (Vs) of 4 V (peak amplitude) (0V → 4V → 0V) and 100 MHz frequency. Results clearly indicated absolute voltage amplification is obtained in heterostructure. Also, it has been observed scaling the length of heterostructure leads to decrease in passive voltage amplification heterostructure.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115774456","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}
Pub Date : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730582
Swatika Sinha, Sudeep Sharma, P. Padhy
Dead-time systems are commonly encountered and are utilized to portray various real-world processes. The efficient controlling of such systems especially with unstable dynamics has always been an attractive as well as challenging field of research. In this paper, the performance of a PID (Proportional, Integral and Derivative) controller, Smith predictor, and modified Smith predictor are analyzed for dead-time systems, and a comparative study is done. An unstable transfer function of second order containing dead time is considered here for validation. Various time-response parameters like settling time, damped oscillation, disturbance rejection, and overshoot values are used to compare the different controlling techniques.
死时系统经常遇到，并用于描述各种现实世界的过程。这类系统特别是具有不稳定动力学的系统的有效控制一直是一个具有吸引力和挑战性的研究领域。本文对死时系统的PID (Proportional, Integral and Derivative)控制器、Smith预测器和修正Smith预测器的性能进行了分析，并进行了比较研究。本文考虑一个含死区时间的二阶不稳定传递函数进行验证。各种时间响应参数，如稳定时间、阻尼振荡、干扰抑制和超调值，用于比较不同的控制技术。
{"title":"A Comparitive Study on Effective Control of Unstable Dead Time System","authors":"Swatika Sinha, Sudeep Sharma, P. Padhy","doi":"10.1109/CAPS52117.2021.9730582","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730582","url":null,"abstract":"Dead-time systems are commonly encountered and are utilized to portray various real-world processes. The efficient controlling of such systems especially with unstable dynamics has always been an attractive as well as challenging field of research. In this paper, the performance of a PID (Proportional, Integral and Derivative) controller, Smith predictor, and modified Smith predictor are analyzed for dead-time systems, and a comparative study is done. An unstable transfer function of second order containing dead time is considered here for validation. Various time-response parameters like settling time, damped oscillation, disturbance rejection, and overshoot values are used to compare the different controlling techniques.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"284 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116095226","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}
Pub Date : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730654
J. J. Babu, Vinopraba Thirumavalavan
In recent years, direct current (DC) power supply loads have become more prevalent in industrial and commercial applications. As a result, an ac/dc converting system will be placed at the system's front end to convert alternating current mains into direct current sources for system operation. Load-end characteristics of the system will increase the phase shift between the voltage and current of the input AC power source. This has a detrimental impact on the system's power quality indicators and causes instability. In an ac/dc converter that needs power quality improvement, a power factor corrector converter is required between the uncontrolled rectifier and the load. Different converter topologies have been investigated and compared in this paper. The self-PFC features of various converter topologies are examined.
{"title":"A Study on Different Converter Topologies for Power Quality Improvement Applications","authors":"J. J. Babu, Vinopraba Thirumavalavan","doi":"10.1109/CAPS52117.2021.9730654","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730654","url":null,"abstract":"In recent years, direct current (DC) power supply loads have become more prevalent in industrial and commercial applications. As a result, an ac/dc converting system will be placed at the system's front end to convert alternating current mains into direct current sources for system operation. Load-end characteristics of the system will increase the phase shift between the voltage and current of the input AC power source. This has a detrimental impact on the system's power quality indicators and causes instability. In an ac/dc converter that needs power quality improvement, a power factor corrector converter is required between the uncontrolled rectifier and the load. Different converter topologies have been investigated and compared in this paper. The self-PFC features of various converter topologies are examined.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127559429","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}
Pub Date : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730726
Faisal Jamsheed, Sheikh Javed Iqbal
In this paper, a supplementary controller for static var compensator is designed to enhance the damping of inter-area oscillation mode. Proper SVC location and stabilizing feedback signal are selected on the basis of controllability, and observ-ability, respectively. Wide-area signals, required for effective damping of inter-area oscillations, introduce practically unavoid-able time-delay that can offset effectiveness of a controller and, therefore, delay compensation is required for such applications. Deterioration of oscillation damping due to time-delay, while transporting wide-area signals, negates the advantages of using the most observable feedback signal. Moreover, employing wide-area damping control adds to the cost of the controller. Therefore, the impact of communication delay on oscillation damping is investigated and comparison is made with a decentralised control, which employs less-observable local signal.
{"title":"Comparison between Centralized and Decentralized Oscillation Damping Controllers in Power Systems","authors":"Faisal Jamsheed, Sheikh Javed Iqbal","doi":"10.1109/CAPS52117.2021.9730726","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730726","url":null,"abstract":"In this paper, a supplementary controller for static var compensator is designed to enhance the damping of inter-area oscillation mode. Proper SVC location and stabilizing feedback signal are selected on the basis of controllability, and observ-ability, respectively. Wide-area signals, required for effective damping of inter-area oscillations, introduce practically unavoid-able time-delay that can offset effectiveness of a controller and, therefore, delay compensation is required for such applications. Deterioration of oscillation damping due to time-delay, while transporting wide-area signals, negates the advantages of using the most observable feedback signal. Moreover, employing wide-area damping control adds to the cost of the controller. Therefore, the impact of communication delay on oscillation damping is investigated and comparison is made with a decentralised control, which employs less-observable local signal.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127535165","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}
Pub Date : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730513
Sudeep Sharma, P. Padhy
This work deals with the identification of unknown delayed systems as continuous-time models with dead-time. The identification experiment involves the collection of data samples with the application of step input, which is popular due to its simplicity. The gain elimination method is employed to bring dead-time into the parameter vector. The model parameters are estimated using two stage identification approach, where the first stage is simple least square and the second stage is instrument variable. The over-parameterized information vectors are computed using filtered derivatives. Simulation experiments are performed on benchmark systems to validate and compare the efficacy of the proposed approach with sensor noise.
{"title":"A Two Stage Identification Approach for Processes with Dead-time using Step Input","authors":"Sudeep Sharma, P. Padhy","doi":"10.1109/CAPS52117.2021.9730513","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730513","url":null,"abstract":"This work deals with the identification of unknown delayed systems as continuous-time models with dead-time. The identification experiment involves the collection of data samples with the application of step input, which is popular due to its simplicity. The gain elimination method is employed to bring dead-time into the parameter vector. The model parameters are estimated using two stage identification approach, where the first stage is simple least square and the second stage is instrument variable. The over-parameterized information vectors are computed using filtered derivatives. Simulation experiments are performed on benchmark systems to validate and compare the efficacy of the proposed approach with sensor noise.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130132477","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}
Pub Date : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730526
V. Meena, Hariom Jangid, Vinay Singh
Uncertainty in system parameters can have major impact on system performance. So, uncertainty should be considered while analyzing the performance of system. The uncertainty can be included by considering model as interval system. This study develops an interval model for Doha water treatment system. Firstly, interval model is obtained while considering finite range of uncertainty in transfer function. Then, order reduction method is applied to reduce the order of interval system. To derive the model, an objective function is designed which is a function of time moments and Markov parameters. The objective function minimization is obtained through grey wolf optimization (GWO) algorithm. The GWO is found to be very effective in exploring and exploiting the search space. Due to this, the GWO is considered for minimization of objective function in this study. The results obtained support the efficacy and effectiveness of GWO for minimization of objective function designed for model reduction of interval system of Doha treatment plant.
{"title":"GWO Based Reduced-Order Modeling of Doha Water Treatment Plant","authors":"V. Meena, Hariom Jangid, Vinay Singh","doi":"10.1109/CAPS52117.2021.9730526","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730526","url":null,"abstract":"Uncertainty in system parameters can have major impact on system performance. So, uncertainty should be considered while analyzing the performance of system. The uncertainty can be included by considering model as interval system. This study develops an interval model for Doha water treatment system. Firstly, interval model is obtained while considering finite range of uncertainty in transfer function. Then, order reduction method is applied to reduce the order of interval system. To derive the model, an objective function is designed which is a function of time moments and Markov parameters. The objective function minimization is obtained through grey wolf optimization (GWO) algorithm. The GWO is found to be very effective in exploring and exploiting the search space. Due to this, the GWO is considered for minimization of objective function in this study. The results obtained support the efficacy and effectiveness of GWO for minimization of objective function designed for model reduction of interval system of Doha treatment plant.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129651520","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}
Pub Date : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730646
Krishna Mridha, R. Panjwani, M. Shukla
In this current COVID-19 scenario, an effective face mask detection application. The project's major purpose is to put this system in place at college entrances, airlines, hospitals, and offices where the risk of COVID-19 spreading through contagion is highest. According to reports, having a face mask while at work significantly minimizes the chance of transmission. It's an issue of object detection and classification with two classes (Mask and Without Mask). For recognizing face masks, a hybrid model combining deep and traditional machine learning will be shown. This face mask detector is built with Python, OpenCV, TensorFlow, and Keras and is based on a dataset. Everyone should inspect their face before entering the building and make sure they have a mask with them. A beep alert will be triggered if somebody is found without a face mask. As a result, all of the workplaces are reopening, the number of instances of COVID-19 being reported around the country is steadily rising. It can be brought to a close if everyone observes the safety precautions. As a result, we expect that this research will assist in detecting people wearing masks to work.
{"title":"Face Mask Alert Detection System For Preventing the Spread of COVID-19","authors":"Krishna Mridha, R. Panjwani, M. Shukla","doi":"10.1109/CAPS52117.2021.9730646","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730646","url":null,"abstract":"In this current COVID-19 scenario, an effective face mask detection application. The project's major purpose is to put this system in place at college entrances, airlines, hospitals, and offices where the risk of COVID-19 spreading through contagion is highest. According to reports, having a face mask while at work significantly minimizes the chance of transmission. It's an issue of object detection and classification with two classes (Mask and Without Mask). For recognizing face masks, a hybrid model combining deep and traditional machine learning will be shown. This face mask detector is built with Python, OpenCV, TensorFlow, and Keras and is based on a dataset. Everyone should inspect their face before entering the building and make sure they have a mask with them. A beep alert will be triggered if somebody is found without a face mask. As a result, all of the workplaces are reopening, the number of instances of COVID-19 being reported around the country is steadily rising. It can be brought to a close if everyone observes the safety precautions. As a result, we expect that this research will assist in detecting people wearing masks to work.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128197634","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}
Pub Date : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730746
A. A. Khan, A. Minai, L. Devi, Qamar Alam, R. Pachauri
Due to the rapid population growth, the load of electricity has increased sharply, but in comparison the assets used in the power generation are decreasing day by day. So there is a need to correctly predict the load and make a proper plan to handle the situation. It can be expected that the power management structure can be used to improve the stability of power supply and demand. The proposed flow regulator is mainly based on the rules of demand supply modeling of energy. In order to manage energy, this paper provides a method for predicting future power use of residential structures. Load forecasting allows an electric powered application to make crucial choices on buying and producing electric power, load switching and infrastructure development. However, with the deregulation of the power, load forecasting is even extra crucial. Short time load forecasting (STLF) can assist to estimate load flows and to make choices which could save overloading. MATLAB Simulation for the purpose of forecasting, using Artificial Neural Network (ANN) is performed for the assessment of real and forecasted load. The predicted performance is calculated with root mean square error (RMSE) and mean absolute percentage error (MAPE) in this paper. At the end, the predicted performance is also compared with the regression methods using neural regression.
{"title":"Energy Demand Modelling and ANN Based Forecasting using MATLAB/Simulink","authors":"A. A. Khan, A. Minai, L. Devi, Qamar Alam, R. Pachauri","doi":"10.1109/CAPS52117.2021.9730746","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730746","url":null,"abstract":"Due to the rapid population growth, the load of electricity has increased sharply, but in comparison the assets used in the power generation are decreasing day by day. So there is a need to correctly predict the load and make a proper plan to handle the situation. It can be expected that the power management structure can be used to improve the stability of power supply and demand. The proposed flow regulator is mainly based on the rules of demand supply modeling of energy. In order to manage energy, this paper provides a method for predicting future power use of residential structures. Load forecasting allows an electric powered application to make crucial choices on buying and producing electric power, load switching and infrastructure development. However, with the deregulation of the power, load forecasting is even extra crucial. Short time load forecasting (STLF) can assist to estimate load flows and to make choices which could save overloading. MATLAB Simulation for the purpose of forecasting, using Artificial Neural Network (ANN) is performed for the assessment of real and forecasted load. The predicted performance is calculated with root mean square error (RMSE) and mean absolute percentage error (MAPE) in this paper. At the end, the predicted performance is also compared with the regression methods using neural regression.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126265945","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}
Pub Date : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730546
S. Bhalerao, I. Ansari, Adarsh Kumar
The world is rapidly going digital and data security is the foremost concern. Digital images form a large chunk of this digital data. Therefore, techniques like digital image watermarking are used for assuring image security. In this paper application of DNN based compression algorithm is examined for implementation of color image tampering detection and self-recovery system. The DNN based image compression is used to compress the host images and multiple copies of compressed images are embedded in the host image for self-recovery. Due to the smaller size and better quality provided by DNN based compression algorithm, the watermarked images have high PSNR (peak signal to noise ratio). Similarly, the quality of recovered images is also high. The DNN based algorithm is analyzed for different images and tampering conditions. In the best-case scenario, the algorithm can recover the image from about 88% tampering.
{"title":"Analysis of DNN based image watermarking data generation for self-recovery","authors":"S. Bhalerao, I. Ansari, Adarsh Kumar","doi":"10.1109/CAPS52117.2021.9730546","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730546","url":null,"abstract":"The world is rapidly going digital and data security is the foremost concern. Digital images form a large chunk of this digital data. Therefore, techniques like digital image watermarking are used for assuring image security. In this paper application of DNN based compression algorithm is examined for implementation of color image tampering detection and self-recovery system. The DNN based image compression is used to compress the host images and multiple copies of compressed images are embedded in the host image for self-recovery. Due to the smaller size and better quality provided by DNN based compression algorithm, the watermarked images have high PSNR (peak signal to noise ratio). Similarly, the quality of recovered images is also high. The DNN based algorithm is analyzed for different images and tampering conditions. In the best-case scenario, the algorithm can recover the image from about 88% tampering.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117072306","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}
Pub Date : 2021-12-10DOI: 10.1109/CAPS52117.2021.9730645
Srishti, Sudeep Sharma, P. Padhy
Inverted Pendulum shows various applications in robotics industry like human posture system, robotic arm, Segway, rocket launching system, etc. It is also found to be useful in understanding and validating the concept of system theory and control engineering. Earlier, the use of inverted pendulum concentrates with the PID controller, which may not be suitable to analyze all aspects of the system. In recent decades, the use of Model Predictive Controller (MPC) has been encouraged because of its versatility. Also, the updated version of MPC known as Explicit-MPC and Gain Scheduled MPC have provided promising and accurate result than others. This paper presents the comparative analysis of various MPC controllers applied on the inverted pendulum holding on a cart. The simulation analysis has been performed using commercially available MATLAB Software and the simulated results are in good agreement.
{"title":"Comparative Study of Inverted Pendulum with Various Types of Controllers","authors":"Srishti, Sudeep Sharma, P. Padhy","doi":"10.1109/CAPS52117.2021.9730645","DOIUrl":"https://doi.org/10.1109/CAPS52117.2021.9730645","url":null,"abstract":"Inverted Pendulum shows various applications in robotics industry like human posture system, robotic arm, Segway, rocket launching system, etc. It is also found to be useful in understanding and validating the concept of system theory and control engineering. Earlier, the use of inverted pendulum concentrates with the PID controller, which may not be suitable to analyze all aspects of the system. In recent decades, the use of Model Predictive Controller (MPC) has been encouraged because of its versatility. Also, the updated version of MPC known as Explicit-MPC and Gain Scheduled MPC have provided promising and accurate result than others. This paper presents the comparative analysis of various MPC controllers applied on the inverted pendulum holding on a cart. The simulation analysis has been performed using commercially available MATLAB Software and the simulated results are in good agreement.","PeriodicalId":445427,"journal":{"name":"2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127562649","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}
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