{"title":"Robust stability criteria for uncertain discrete-time Lur'e systems with time-varying state-delay and sector-bounded nonlinearity","authors":"K. Ramakrishnan, G. Ray","doi":"10.1109/CCA.2013.6662822","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662822","url":null,"abstract":"In this paper, we consider the problem of delay-dependent stability of a class of discrete-time Lur'e systems with time-varying state-delay, and sector-bounded nonlinearity using Lyapunov approach. By exploiting a candidate Lyapunov functional, and using slack matrix variables in the delay-dependent stability analysis, less conservative absolute and robust stability criteria are developed respectively for nominal and uncertain discrete-time Lur'e systems in terms of linear matrix inequalities (LMIs). For deriving robust stability conditions, time-varying norm-bounded uncertainties are considered in the system matrices. Finally, a numerical example is employed to demonstrate the effectiveness of the proposed results.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127196926","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":"Weighted sensitivity design of PID controllers for time-delay systems with a Smith predictor","authors":"Siva R. Veeramachaneni, J. Watkins","doi":"10.1109/CCA.2013.6662848","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662848","url":null,"abstract":"Time delays in the feedback loop complicate the analysis and design of a controller system. The use of a Smith predictor in combination with a proportional integral derivative (PID) controller is a well-known technique for dealing with delays in stable systems. In this paper, a graphical method is introduced for finding all stabilizing PID controllers that satisfy a weighted sensitivity constraint of any arbitrary-order transfer function with time delay when the Smith predictor is used. Use of the Smith predictor tends to increase the size of the set of all PID controllers that satisfy the weighted sensitivity constraint in the controller parameter space. A numerical example is used to compare the set of PID controllers with and without a Smith predictor. A key advantage of this approach is that it requires only the frequency response of the plant.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126810132","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":"Output tracking for dual-inertia system with dead time based on stable system center approach","authors":"V. Makkapati, M. Reichhartinger, M. Horn","doi":"10.1109/CCA.2013.6662869","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662869","url":null,"abstract":"Output tracking for a SISO plant with dead time is considered in this paper. Using Padé approximation for the dead time, the plant can be written in the form of a nonminimum phase system. The output tracking problem for this approximated non-minimum phase system is reformulated as a state tracking problem. Later a sliding mode controller is designed for state tracking; the non-measurable states are estimated using a sliding mode observer. Results for a dual inertia system with dead time are shown both in simulation and experiment.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127524202","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}
T. Faulwasser, Janine Matschek, P. Zometa, R. Findeisen
{"title":"Predictive path-following control: Concept and implementation for an industrial robot","authors":"T. Faulwasser, Janine Matschek, P. Zometa, R. Findeisen","doi":"10.1109/CCA.2013.6662755","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662755","url":null,"abstract":"Many robotic applications, such as milling, glueing, or high precision measurements require the exact following of a pre-defined geometric path. We outline nonlinear model predictive control approaches to path-following problems. We show the real-time feasibility of predictive path following applied to an industrial robot. Specifically, we consider constrained output path following with and without pre-specified reference speeds. The proposed predictive path-following approach is experimentally validated considering a KUKA lightweight robot IV.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128963892","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":"Nearest neighbour based algorithm for data reduction and fault diagnosis","authors":"K. Detroja","doi":"10.1109/CCA.2013.6662910","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662910","url":null,"abstract":"Dimensionality reduction is one of the prime concerns when analyzing process historical data for plant-wide monitoring, because this can significantly reduce computational load during statistical model building. Most research has been concerned with reducing the dimension along the variable space, i.e. reducing the number of columns. However, no efforts are made to reduce dimensions along the sample (row) space. In this paper, an algorithm based on nearest neighbor is presented here that exploits the principle of distributional equivalence (PDE) property of the correspondence analysis (CA) algorithm to achieve data reduction along the sample space without significantly affecting the diagnostic performance. The data reduction algorithm presented here is unsupervised and can achieve significant data reduction when used in conjunction with CA. The data reduction ability of the proposed methodology is demonstrated using the benchmark Tennessee Eastman process simulation case study.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129089262","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":"Smith predictor based control strategies for nonminimum phase plants","authors":"Dwaipayan Mukherjee, Debasish Ghose","doi":"10.1109/CCA.2013.6662873","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662873","url":null,"abstract":"The present paper proposes design strategies, based on the Smith predictor and its variants, for controlling nonminimum phase plants, by treating the right half plane (RHP) zeros of the system in the same way as the delay term in case of the conventional Smith predictor. Simple controllers, in conjunction with these Smith predictor like structures, can achieve good performance in terms of steady state error and disturbance rejection, for both type zero plants, as well as for plants with an integral mode. Additionally, here the order of the plant and the number of RHP zeros of the plant are not restricted. Simulations corroborate the theoretical results.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"371 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127020231","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 stabilization of time-delay systems using PID controller with a Smith predictor","authors":"Siva R. Veeramachaneni, J. Watkins, T. Emami","doi":"10.1109/CCA.2013.6662847","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662847","url":null,"abstract":"Time delays in the feedback complicate the analysis and design of the closed-loop system. The use of a Smith predictor in combination with a Proportional Integral Derivative (PID) controller is a well-known technique for dealing with these delays in stable systems. However, many authors have questioned the robustness of this approach when the model of the plant is not known exactly. In this paper, the authors tackle this problem directly by determining all PID controllers working in combination with a Smith predictor that robustly stabilize the closed-loop system. The use of a Smith predictor tends to increase the size of the set of all robustly stable PID controllers in the controller parameter space. A numerical example is used to compare the set of robustly stabilizing PID controllers with and without a Smith predictor.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133252626","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":"Model reference adaptive control of 2-D systems via wave advanced model","authors":"A. Madady, M. Shafiee, H. Reza-Alikhani","doi":"10.1109/CCA.2013.6662882","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662882","url":null,"abstract":"This paper considers the problem of adaptive control of two-dimensional (2-D) systems in a general case; where both of the 2-D space coordinates are possibly unbounded. The problem is formulated via 1-D wave advanced model. By this, our 2-D problem is converted to a 1-D problem, which is the adaptive control of the wave advanced model. Utilizing the well known 1-D model reference approach, an adaptive technique is obtained to control the wave advanced model and consequently to control our 2-D system. The convergence of the presented scheme is analyzed. The computer simulation results are included to illustrate the effectiveness of the proposed procedure.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124538885","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":"Successive difference method for steady state detection in univariate system","authors":"Manoj K. Gootam, N. Kubal, Ulaganathan Nallasivam","doi":"10.1109/CCA.2013.6662867","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662867","url":null,"abstract":"The use of online data for steady-state detection is required to solve problems like statistical data reconciliation, real time optimization and controller performance monitoring. In this paper, a new method for univariate system is proposed, which makes use of successive differences of time series (single variate) data. The method is simple because the parameters on which it is based are easy to tune as they are rather intuitive. Also this method needs less computation time as it does not involve any model fitting exercise as the case with other methods like polynomial interpolation technique. In order to assess the performance of the above method, a comparison analysis based on its performance in accurately detecting the steady state part that is present in a set of industrial time series data was performed. The performance of this method is compared with the three best existing methods that are available in the current literature. This analysis showed that the proposed method, Successive Difference method is most robust and its performance is better than the existing three methods.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128010331","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}
R. Munje, P. Londhe, J. G. Parkhe, B. Patre, A. Tiwari
{"title":"Spatial control of advanced heavy water reactor by fast output sampling technique","authors":"R. Munje, P. Londhe, J. G. Parkhe, B. Patre, A. Tiwari","doi":"10.1109/CCA.2013.6662917","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662917","url":null,"abstract":"In this paper, a spatial control strategy based on Fast Output Sampling (FOS) technique is proposed for Advanced Heavy Water Reactor (AHWR). The non-linear model of AHWR, represented by 90 first order differential equations having 5 inputs and 18 outputs, is linearized to obtain standard state-space representation. Using similarity transformation, the original higher order, ill-conditioned discrete system of AHWR is first decomposed into two comparatively lower order subsystems, namely, `slow' and `fast' subsystem of orders 73 and 17 respectively. Now, state feedback controls are designed separately for slow and fast subsystem and then a composite controller is obtained using these individual state feedback controls, which is then realized using FOS feedback gain. Thus, the states of the system are not required for feedback. The efficacy of the controller has been demonstrated by simulation of transient behavior of non-linear model of AHWR. Performance of the controller is found to be satisfactory.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128969931","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}