Pub Date : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258704
M. Azimi, A. Afzalian, R. Ghaderi
In this paper a decentralized guaranteed cost control for a class of interconnected large scale networked control system is presented. For this purpose a local state feedback controller is designed for each system. There is high interconnection between each subsystem. The control loop of each subsystem is closed via communication network. Packet Loss, network induced delay and delays at interconnected states are considered in problem formulation. New sufficient conditions for the existence of guaranteed cost controllers are proposed by introducing a Lyapunov-Krasovskii functional. An explicit expression for the desired robust decentralized local state feedback control law is also given. Finally, numerical example shows the efficiency of proposed method in comparison with conventional controls.
{"title":"Robust guaranteed cost control for a class of large scale networked control systems","authors":"M. Azimi, A. Afzalian, R. Ghaderi","doi":"10.1109/ICCIAUTOM.2017.8258704","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258704","url":null,"abstract":"In this paper a decentralized guaranteed cost control for a class of interconnected large scale networked control system is presented. For this purpose a local state feedback controller is designed for each system. There is high interconnection between each subsystem. The control loop of each subsystem is closed via communication network. Packet Loss, network induced delay and delays at interconnected states are considered in problem formulation. New sufficient conditions for the existence of guaranteed cost controllers are proposed by introducing a Lyapunov-Krasovskii functional. An explicit expression for the desired robust decentralized local state feedback control law is also given. Finally, numerical example shows the efficiency of proposed method in comparison with conventional controls.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128106654","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258659
M. Farkhadov, Valentin Smirnov, A. Eliseev
In this paper we analyze the possibilities of using speech analytics and speech technologies to monitor the information space. The “Analyze” speech analytics system is used to perform audio data analysis. Analyze, an automated keyword spotting system, is based on large vocabulary continuous speech recognition approach. Our system can handle both previously recorded audio files, and analyze the voice stream in real time. If we include a keyword spotting system into our information space monitoring systems, we will significantly expand the range of information sources and monitor the controlled environment more effectively.
{"title":"Application of speech analytics in information space monitoring systems","authors":"M. Farkhadov, Valentin Smirnov, A. Eliseev","doi":"10.1109/ICCIAUTOM.2017.8258659","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258659","url":null,"abstract":"In this paper we analyze the possibilities of using speech analytics and speech technologies to monitor the information space. The “Analyze” speech analytics system is used to perform audio data analysis. Analyze, an automated keyword spotting system, is based on large vocabulary continuous speech recognition approach. Our system can handle both previously recorded audio files, and analyze the voice stream in real time. If we include a keyword spotting system into our information space monitoring systems, we will significantly expand the range of information sources and monitor the controlled environment more effectively.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128130275","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258657
R. Hajiloo, H. Salarieh, A. Alasty
In this paper, the problem of chaos control in a chaotic Henon-like system without using the governing equations of the system is investigated. It is also assumed that the system has only one measurable state. The time-series of the measurable state is used to stabilize chaos by a three-step method. First, using Takens embedding theory, a delayed phase space is reconstructed preserving the topological characteristics of the system. Then, an appropriate dynamic model is identified to estimate the time-series data in the reconstructed phase space. Finally, the unstable fixed point of the system is stabilized using an appropriate linear delayed feedback controller with controller gains systematically computed.
{"title":"Model-free chaos control in a chaotic Henon-like system using Takens embedding theory","authors":"R. Hajiloo, H. Salarieh, A. Alasty","doi":"10.1109/ICCIAUTOM.2017.8258657","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258657","url":null,"abstract":"In this paper, the problem of chaos control in a chaotic Henon-like system without using the governing equations of the system is investigated. It is also assumed that the system has only one measurable state. The time-series of the measurable state is used to stabilize chaos by a three-step method. First, using Takens embedding theory, a delayed phase space is reconstructed preserving the topological characteristics of the system. Then, an appropriate dynamic model is identified to estimate the time-series data in the reconstructed phase space. Finally, the unstable fixed point of the system is stabilized using an appropriate linear delayed feedback controller with controller gains systematically computed.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"119 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125755482","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258662
M. Mohammadi, M. H. Asemani, M. Arefi
In this paper, controller design for continuous-time linear parameter-varying systems using the dynamic observer is proposed. Dynamic Observer (DO), as a generalized form of the conventional observers, possesses more structural degrees of freedom. In this work, the DO is employed to design a controller for a Continuous-Time Linear Parameter-Varying (CTLPV) system such that the setbacks of the controller design by the conventional observer-based methods are unfolded. In the proposed approach, rigid Linear Matrix Inequality (LMI) conditions are applied to a strict controller design. At last, the efficiency of the proposed approach is confirmed by a numerical example.
{"title":"Dynamic observer-based controller design for polytopic LPV systems","authors":"M. Mohammadi, M. H. Asemani, M. Arefi","doi":"10.1109/ICCIAUTOM.2017.8258662","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258662","url":null,"abstract":"In this paper, controller design for continuous-time linear parameter-varying systems using the dynamic observer is proposed. Dynamic Observer (DO), as a generalized form of the conventional observers, possesses more structural degrees of freedom. In this work, the DO is employed to design a controller for a Continuous-Time Linear Parameter-Varying (CTLPV) system such that the setbacks of the controller design by the conventional observer-based methods are unfolded. In the proposed approach, rigid Linear Matrix Inequality (LMI) conditions are applied to a strict controller design. At last, the efficiency of the proposed approach is confirmed by a numerical example.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"489 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131970781","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258691
Parisa Yazdjerdi, N. Meskin
An actuator fault tolerant controller for differential drive mobile robots is proposed using the sliding surface scheme for a loss of effectiveness (LOE) actuator fault. It is shown that an LOE actuator fault can be modeled as a matched input disturbance and hence the sliding mode controller due its inherent robustness property can perfectly cancel the actuator fault effect on the performance of the mobile robot without a need to a fault detection and isolation module. Experimental validation is conducted on Qbot-2 mobile robot to verify the efficiency of the proposed controller scheme.
{"title":"Fault tolerant control of differential drive mobile robots using sliding mode controller","authors":"Parisa Yazdjerdi, N. Meskin","doi":"10.1109/ICCIAUTOM.2017.8258691","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258691","url":null,"abstract":"An actuator fault tolerant controller for differential drive mobile robots is proposed using the sliding surface scheme for a loss of effectiveness (LOE) actuator fault. It is shown that an LOE actuator fault can be modeled as a matched input disturbance and hence the sliding mode controller due its inherent robustness property can perfectly cancel the actuator fault effect on the performance of the mobile robot without a need to a fault detection and isolation module. Experimental validation is conducted on Qbot-2 mobile robot to verify the efficiency of the proposed controller scheme.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132119768","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258681
Saeed Adelipour, Mahdi Rastgar, M. Haeri
The aim of this study is to reduce the computational load in model predictive control of multi-input nonlinear systems. First, the nonlinear system which has a high number of states and inputs is decomposed into several subsystems by solving a linear integer programming problem offline. Then, the model of each subsystem is revised by considering the effect of coupling and interactions of other subsystems. Next, the robust model predictive technique based on linear matrix inequalities is employed to compute control signal for each subsystem. An industrial chemical reaction example is used to illustrate the effectiveness of the proposed method.
{"title":"Computational load reduction in model predictive control of nonlinear systems via decomposition","authors":"Saeed Adelipour, Mahdi Rastgar, M. Haeri","doi":"10.1109/ICCIAUTOM.2017.8258681","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258681","url":null,"abstract":"The aim of this study is to reduce the computational load in model predictive control of multi-input nonlinear systems. First, the nonlinear system which has a high number of states and inputs is decomposed into several subsystems by solving a linear integer programming problem offline. Then, the model of each subsystem is revised by considering the effect of coupling and interactions of other subsystems. Next, the robust model predictive technique based on linear matrix inequalities is employed to compute control signal for each subsystem. An industrial chemical reaction example is used to illustrate the effectiveness of the proposed method.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133473921","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258707
B. Tavassoli, H. Salehi
Considering some resent results on the extension of the necessary conditions for optimality of a solution of a hybrid dynamical system, the case of linear hybrid systems is investigated in this work. A numerically efficient method is proposed for solving the linear hybrid optimal control problem with a finite horizon quadratic cost functional. The proposed method requires less computational effort compared to other applicable numerical algorithms. Efficiency of this method is shown via a case study in which a hopping robot is required to reach a given height in a given number of hops.
{"title":"An efficient method for solution of the linear hybrid optimal control problem","authors":"B. Tavassoli, H. Salehi","doi":"10.1109/ICCIAUTOM.2017.8258707","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258707","url":null,"abstract":"Considering some resent results on the extension of the necessary conditions for optimality of a solution of a hybrid dynamical system, the case of linear hybrid systems is investigated in this work. A numerically efficient method is proposed for solving the linear hybrid optimal control problem with a finite horizon quadratic cost functional. The proposed method requires less computational effort compared to other applicable numerical algorithms. Efficiency of this method is shown via a case study in which a hopping robot is required to reach a given height in a given number of hops.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124023707","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258660
O.B. Arno, O. A. Nikolaev, A. Arabsky, A. V. Merkulov, S.I. Gunkin, S. Kirsanov, M. Farkhadov
This report examines how to determine the technical state of gas and gas condensate wells, analyzes known methods to determine their state from operational data. Also the report examines how difficulty it is to use these methods in the Russian Far North. An innovative method is proposed that allows us to detect disturbances in the well in real-time, to diagnose the cause of these disturbances, and to take timely decisions to eliminate potential contingencies. The method is implemented on the basis of the existing system of telemetry of gas wells, as well as the information and control dispatcher system of the Enterprise. Thanks to this, it was possible to significantly reduce the costs, both work-hours and material, to create an automated system to control the technical condition of gas wells SOKTCGW according to operation data, and also promptly, in advance, take necessary measures to prevent abnormal situations.
{"title":"Automated system to control the technical condition of gas and gas-condensate wells located in the Russian Far North. A review based on exploitation data","authors":"O.B. Arno, O. A. Nikolaev, A. Arabsky, A. V. Merkulov, S.I. Gunkin, S. Kirsanov, M. Farkhadov","doi":"10.1109/ICCIAUTOM.2017.8258660","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258660","url":null,"abstract":"This report examines how to determine the technical state of gas and gas condensate wells, analyzes known methods to determine their state from operational data. Also the report examines how difficulty it is to use these methods in the Russian Far North. An innovative method is proposed that allows us to detect disturbances in the well in real-time, to diagnose the cause of these disturbances, and to take timely decisions to eliminate potential contingencies. The method is implemented on the basis of the existing system of telemetry of gas wells, as well as the information and control dispatcher system of the Enterprise. Thanks to this, it was possible to significantly reduce the costs, both work-hours and material, to create an automated system to control the technical condition of gas wells SOKTCGW according to operation data, and also promptly, in advance, take necessary measures to prevent abnormal situations.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130680843","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258703
H. Mohammadi, Hamid Shiri
In this paper, a new adaptive optimal tracking approximate solution for the infinite-horizon function is presented to design a new controller for a class of fully unknown continuous-times nonlinear systems. A dynamic neural network identifier (DNN) derived from a Lyapunov function, is achieved to approximate the unknown system dynamics. We utilize an adaptive steady-state controller based on the identified plant to keep tracking performance and an adaptive optimal controller is used to stabilize the systems. A critic neural network is utilized for estimating optimal value function of the Hamilton-Jacobi-Bellman (HJB). The simulation examples are presented to confirm the effectiveness of the proposed controller method.
{"title":"Adaptive optimal tracking control for a class of nonlinear systems with fully unknown parameters","authors":"H. Mohammadi, Hamid Shiri","doi":"10.1109/ICCIAUTOM.2017.8258703","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258703","url":null,"abstract":"In this paper, a new adaptive optimal tracking approximate solution for the infinite-horizon function is presented to design a new controller for a class of fully unknown continuous-times nonlinear systems. A dynamic neural network identifier (DNN) derived from a Lyapunov function, is achieved to approximate the unknown system dynamics. We utilize an adaptive steady-state controller based on the identified plant to keep tracking performance and an adaptive optimal controller is used to stabilize the systems. A critic neural network is utilized for estimating optimal value function of the Hamilton-Jacobi-Bellman (HJB). The simulation examples are presented to confirm the effectiveness of the proposed controller method.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132149488","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 : 2017-11-01DOI: 10.1109/ICCIAUTOM.2017.8258688
M. Derakhshan, M. Haeri
In this paper, an approach is proposed to estimate the location of leakages in liquid transmission lines with a high accuracy. First, the mathematical model is analyzed and a closedform solution is provided for the partial differential equations of the pipeline. Next, the leakage location is calculated using the closed-form solution. The calculations are applied to various leakages and are extended to a case in which the pressure and flowrate do not converge to constant values. Considering a singleleakage pipeline system, a linear observer is utilized to estimate the leakage location with reduced errors. The simulation results are presented and the proposed method is verified by changing the location of the leak.
{"title":"Leakage diagnosis using closed-form solution and linear observer","authors":"M. Derakhshan, M. Haeri","doi":"10.1109/ICCIAUTOM.2017.8258688","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2017.8258688","url":null,"abstract":"In this paper, an approach is proposed to estimate the location of leakages in liquid transmission lines with a high accuracy. First, the mathematical model is analyzed and a closedform solution is provided for the partial differential equations of the pipeline. Next, the leakage location is calculated using the closed-form solution. The calculations are applied to various leakages and are extended to a case in which the pressure and flowrate do not converge to constant values. Considering a singleleakage pipeline system, a linear observer is utilized to estimate the leakage location with reduced errors. The simulation results are presented and the proposed method is verified by changing the location of the leak.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126526766","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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