{"title":"Stabilization of networked control systems using switched time-delay systems theory","authors":"M. A. Asl, R. M. Esfanjani","doi":"10.1109/ICCIAUTOM.2013.6912823","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912823","url":null,"abstract":"In this paper, novel procedure is developed to synthesis a switching controller for asymptotic stabilization of networked control systems (NCSs). The NCS is modeled as a continuous-time switched system with input time-delay; then utilizing an appropriate switching Lyapunov-Krasovskii functional, a sufficient condition is derived to determine the controllers' gains in terms of Linear Matrix Inequalities (LMIs). Illustrative example is presented to demonstrate the outperformance of the proposed approach compared with the rival methods in the literature.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126561133","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":"Adaptive stabilization of switched nonlinear systems in parametric output feedback form","authors":"Z. Noroozi, A. Khayatian","doi":"10.1109/ICCIAUTOM.2013.6912850","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912850","url":null,"abstract":"In this paper, we consider the problem of adaptive stabilization of switched nonlinear systems in parametric output-feedback form under arbitrary switching. To implement the adaptive backstepping method, proper filters are designed to estimate unmeasured state variables. By using the overparameterization method for updating unknown constant parameters, a common Lyapunov function under a simultaneous domination assumption is obtained and a control law which guarantees global stability of the closed loop switched nonlinear system is developed. Simulation results are presented to show the effectiveness of the proposed method.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134062593","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":"Observer-based direct adaptive neural control for a class of nonlinear non-affine systems with unknown control direction","authors":"Zahra Ramezani, M. Jahed-Motlagh, M. M. Arefi","doi":"10.1109/ICCIAUTOM.2013.6912815","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912815","url":null,"abstract":"This paper presents a direct adaptive neural controller for a class of SISO non-affine nonlinear systems. Based on the implicit function theorem, the existence of an ideal controller is proved, and neural network is employed to approximate the unknown ideal controller. Since all the states may not be available for measurements, an observer is designed to estimate the states of the system. In this method a priori knowledge about the sign of control gain are not required. To deal with the unknown sign of the control direction, the Nussbaum-type function is used. In this approach, to reduce the effect of external disturbances and approximation errors, a robustifying term is utilized. Stability of the closed-loop system is proved by Lyapunov method. The effectiveness of the adaptive neural control method is demonstrated by a simulation example.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"333 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133190375","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":"Robust model predictive control based on MRAS for satellite attitude control system","authors":"F. Pirouzmand, N. Ghahramani","doi":"10.1109/ICCIAutom.2013.6912808","DOIUrl":"https://doi.org/10.1109/ICCIAutom.2013.6912808","url":null,"abstract":"In this paper, a robust model predictive control (RMPC) is proposed based on model reference adaptive system (MRAS). In this algorithm, using the MRAS a combinational RMPC controller for three degree freedom satellite is designed such that the effect of moment of inertia uncertainty and external disturbance is compensated on the stability and performance of closed loop system. Control law is a state feedback which its gain is obtained by solving a convex optimization problem subject to several linear matrix inequalities (LMIs). To avoid the actuators saturation a linear matrix inequality is incorporated as LMI in the mentioned optimization problem. The advantages of this algorithm are needless to exact information from system's model, robustness against model uncertainties and external disturbance. The proposed algorithm is implemented on the satellite attitude control system and the results of them are compared to generalized incremental model predictive control (GIPC) algorithm. The results show that the suggestive controller is more robust than the GIPC method.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125422608","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":"Design of a quadratic linear tracking controller to minimize battery power consumption of a 2-DOF MEMS vibratory gyroscope","authors":"E. Ranjbar, A. Suratgar","doi":"10.1109/ICCIAUTOM.2013.6912834","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912834","url":null,"abstract":"In this paper, an accurate model of the MEMS vibratory gyroscope is demonstrated The state space model has the advantage of being controllable. A Linear Quadratic Tracking (LQT) controller is designed to make the sense mode accelerometer output a sinusoidal oscillation along the y axis of the gyroscope while keeping the battery energy usage as low as possible. Although the precedent adaptive controllers on other papers has the advantage of perfect tracking, the proposed design also brings about minimizing the energy consumption.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125999260","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":"Adaptive fault tolerance in automotive vehicle using control allocation based on the pseudo inverse along the null space for yaw stabilization","authors":"Shahab Tohidy, A. Sedigh","doi":"10.1109/ICCIAUTOM.2013.6912830","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912830","url":null,"abstract":"Yaw instability of automotive vehicles occurs dangerous accidents particularly while driving on wet or icy surfaces. Considering wet or icy situations as faults, fault tolerant controllers are suitable to handle the control of automotive vehicles. In order to have yaw stability and increasing maneuverability and safety of faulty systems, using control allocation methods are good choices. This paper proposes a control allocation method based on the pseudo inverse along the null space of the control matrix (PAN) to establish lateral stabilization in automotive vehicle.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126300738","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":"Fuzzy model reference adaptive control based on PID for fundamental and typical industrial plants","authors":"Saeed Solouki, M. Pooyan","doi":"10.1109/ICCIAUTOM.2013.6912861","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912861","url":null,"abstract":"This paper presents a model reference tracking based PID controller with adaptive procedure to improve the regulation precision and dynamic response of the typical closed-loop systems. The proposed control structure consists of two main parts that cooperate with each other. A PID controller is first designed to stabilize and provide nominal system control and a fuzzy logic controller that enhances tracking ability and robustness to the system uncertainties. The effectiveness of the proposed algorithm is validated through its applications in some fundamental industrial processes. Since there is no plant identification phase, it has an easy on-line implementation and a real-time performance.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124123951","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}
Ghazaleh Hadian, Yahya Kheiri Ghazijahani, Ahmadreza Saadatkhah, V. J. Majd
{"title":"Sliding mode formation control and target tracking for a team of mobile robots using decentralized and distributed Kalman filter","authors":"Ghazaleh Hadian, Yahya Kheiri Ghazijahani, Ahmadreza Saadatkhah, V. J. Majd","doi":"10.1109/ICCIAUTOM.2013.6912841","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912841","url":null,"abstract":"In this paper we introduced a theoretical framework for formation control and target tracking for a limited number of mobile robots with partially unknown dynamic models using decentralized and distributed Kalman filter. The mobile robots seek to track a stochastic target while trying to reach a pre-defined formation. Kalman-consensus filter and decentralized Kalman filter is used to infer the received information from mobile robots. This algorithm is successfully applied to track a target with stochastic linear dynamics. Simulation results shows the efficiency of the proposed method.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132438341","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":"Actuator fault detection and estimation for a class of nonlinear systems","authors":"M. S. Kahkeshi, F. Sheikholeslam","doi":"10.1109/ICCIAUTOM.2013.6912831","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912831","url":null,"abstract":"The problem of actuator gain fault detection and estimation (FDE) for a class of nonlinear Lipschitz systems subject to unstructured uncertainty is addressed. The proposed diagnostic scheme is based on the adaptive observer which is used to present the estimation of states and faults. For the fault estimation purpose, adaptive algorithm is designed in the sense of Lyapunov theory. In addition, robustness of the proposed scheme is treated. Also design procedure of the proposed scheme is reformulated as a linear matrix inequality (LMI) problem, this reformulation provides an effective approach to compute the design parameters. Finally the presented fault detection and estimation scheme is applied to a single-link flexible joint robot system. Simulation results verify the efficiency of the proposed FDE scheme.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"38 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132835666","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":"Parametric optimization by using a canonical observable realization","authors":"V. Bahrami, Mojtaba Mahmoodi, M. Nekoui","doi":"10.1109/ICCIAUTOM.2013.6912822","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912822","url":null,"abstract":"Optimization includes two types of structural and parametric. The parametric optimization includes classical and state-space methods. In this paper, the desired cost function is minimized by using a state-space parametric optimization method. In state-space method, canonical observable realization is used to minimize of the desired cost function. Cost function an integral quadratic performance is assumed. Finally, by using evaluated equations, two examples by using a MATLAB are simulated. The results show the efficiency of evaluated equations.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127936611","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}