{"title":"Several performance measures for the obstacle detection of an overlapped ultrasonic sensor ring","authors":"Sungbok Kim, H. Kim","doi":"10.1109/ISIC.2012.6398245","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6398245","url":null,"abstract":"This paper presents several forms of performance measures for the evaluation of the obstacle detection using an overlapped ultrasonic sensor ring. Due to beam overlap, the detection zone of each ultrasonic sensor can be divided into three sub-zones, and also for a given obstacle distance, the uncertainty arc can be divided into three sub-arcs. First, considering obstacle detection range and efficient beam overlap, the geometrical constraints on an overlapped ultrasonic sensor ring are described. Second, the positional uncertainty of an overlapped ultrasonic sensor ring is expressed in terms of the areas of detection sub-zones, and Type I performance measure is defined as the area ratio among three detection sub-zones. Third, the positional uncertainty of an overlapped ultrasonic sensor ring is represented by the minimum area among detection sub-zones, and Type II measure is defined as the beam width of an ultrasonic sensor having the same amount of positional uncertainty. Fourth, the positional uncertainty of an overlapped ultrasonic sensor ring is represented by the averaged maximum arc length among detection sub-zones, and Type III measure is defined as the beam width of an ultrasonic sensor having the same amount of positional uncertainty. Finally, using a set commercial low directivity ultrasonic sensors, the changes of performance measures depending on the parameters of an overlapped ultrasonic sensor ring are examined and compared.","PeriodicalId":242298,"journal":{"name":"2012 IEEE International Symposium on Intelligent Control","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129190616","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":"Optimal iterative learning control with uncertain reference points","authors":"Tong Duy Son, H. Ahn","doi":"10.1109/ISIC.2012.6398250","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6398250","url":null,"abstract":"In this paper, we present two iterative learning control (ILC) frameworks for multiple points tracking problems. First, we present an ILC scheme to produce output curves that pass close to the reference points without considering the reference trajectory. Here, the control signals are generated by solving an optimal ILC problem with respect to the points. Second, we propose an optimal ILC multiple points tracking technique to handle non-repetitive uncertainties at reference points, which happens naturally in real applications due to noise contamination, disturbances, and other control purpose. As a result, the problem is formulated as a two-objective optimization problem.","PeriodicalId":242298,"journal":{"name":"2012 IEEE International Symposium on Intelligent Control","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123164927","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 fault isolation using dynamically extended observers","authors":"Arne Wahrburg, J. Adamy","doi":"10.1109/ISIC.2012.6398253","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6398253","url":null,"abstract":"In this paper we propose a new method to design robust fault isolation observers (FIOs). The technique exploits the duality between non-interacting control and observer-based fault isolation and provides additional degrees of freedom by means of dynamically extended observers. A general procedure to design such observers is given. The additional design variables are then exploited to increase robustness with respect to high-frequency disturbances while ensuring fast fault response times. The applicability of the proposed method is demonstrated in simulations.","PeriodicalId":242298,"journal":{"name":"2012 IEEE International Symposium on Intelligent Control","volume":"400 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120935826","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":"Stochastic stability analysis of the particle dynamics in the PSO algorithm","authors":"V. Gazi","doi":"10.1109/ISIC.2012.6398264","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6398264","url":null,"abstract":"In this article we analyze the stability of the particle dynamics in the Particle Swarm Optimization algorithm using tools from the nonlinear control systems literature including positive realness and stability of stochastic systems.","PeriodicalId":242298,"journal":{"name":"2012 IEEE International Symposium on Intelligent Control","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114958676","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}
E. B. Canonico, E. V. D. Laan, S. Koekebakker, M. Steinbuch
{"title":"A new Robust Delay-Variable Repetitive Controller with application to media transport in a printer","authors":"E. B. Canonico, E. V. D. Laan, S. Koekebakker, M. Steinbuch","doi":"10.1109/ISIC.2012.6398277","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6398277","url":null,"abstract":"Repetitive Control (RC) is an effective tool to reject the repetitive disturbances and their harmonics. However, the effectiveness of RC decays when the time period of the RC does not exactly match with the period of the repetitive disturbance. RC also leads to reduced performance in between harmonics in terms of degraded sensitivity (more noise sensitive). High Order Repetitive Control (HORC) is an RC structure, which allows to shape the sensitivity function to make it either more robust for time period of the repetitive disturbances, or more noise robust. In addition, standard RC will also fail in systems with spatial repetitive disturbances, since the time period of this kind of repetitive disturbances may vary. Delay-Varying Repetitive Control (DVRC) can cope with spatial disturbances, however, it lacks the robustness attained by HORC. By combining these two RC structures, HORC and DVRC, a new Robust Delay-Variable Repetitive Controller (RDVRC) is obtained. The RDVRC is successfully applied to measurement data from a media transport system of an industrial printer. Robust DVRC will be useful for many motion control systems with repetitive tasks, as disturbances often repeat along the motion path.","PeriodicalId":242298,"journal":{"name":"2012 IEEE International Symposium on Intelligent Control","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134440418","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}
P. Pakshin, J. Emelianova, K. Gałkowski, E. Rogers
{"title":"Iterative learning control under parameter uncertainty and failures","authors":"P. Pakshin, J. Emelianova, K. Gałkowski, E. Rogers","doi":"10.1109/ISIC.2012.6398268","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6398268","url":null,"abstract":"This paper develops new results on the design of iterative learning control schemes using a repetitive process setting for analysis. Iterative learning control has been developed as a technique for controlling systems which are required to repeat the same operation over a finite duration known as the trial duration, or length, and information from previous executions is used to update the control input for the next one and thereby sequentially improve performance. This paper considers the design of iterative learning control laws for plants modeled by linear discrete systems with uncertain parameters and possible failures. Using a Lyapunov function approach both state and output feedback based schemes are developed.","PeriodicalId":242298,"journal":{"name":"2012 IEEE International Symposium on Intelligent Control","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134274058","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":"Computer-aided design method of stabilizing controllers for chaotic systems","authors":"Y. Kuroe","doi":"10.1109/ISIC.2012.6398263","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6398263","url":null,"abstract":"Chaos occurs widely in artificial and natural nonlinear systems and its irregular behavior is usually undesirable. Controlling chaos, that is, stabilization of chaotic systems, is one of major subjects in nonlinear control problems. In this paper we propose a computer-aided design method of stabilizing controllers for continuous-time chaotic systems. It is known that infinitely many unstable periodic orbits are embedded in chaotic attractors. Therefore, finding an unstable periodic orbit out of them and designing a controller which stabilizes it, we can obtain a controller which suppresses chaotic behavior and make the transition to the stable periodic orbit. First we propose a method for finding an unstable periodic orbit in a chaotic attractor. Second we propose a design method of feedback controllers which stabilize it. The performance of the proposed method is shown through numerical experiments.","PeriodicalId":242298,"journal":{"name":"2012 IEEE International Symposium on Intelligent Control","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134287140","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":"Decentralized control of mobile robotic sensors for optimal coverage and connectivity over an arbitrary unknown region","authors":"W. Ahmad","doi":"10.1109/ISIC.2012.6398271","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6398271","url":null,"abstract":"The self deployment of a decentralized mobile sensor network has been addressed in this paper. The mobile robotic sensors cover a bounded and connected two-dimensional arbitrary unknown region. An algorithm with decentralized control law has been developed to self deploy the mobile robotic sensors into a triangular lattice pattern ensuring optimization. The optimization of deployment in terms of minimum number of sensors ensuring 1-coverage and 6-connectivity(wherever possible) has been considered during final deployment of mobile robotic sensors over the arbitrary unknown region. A special consideration in continuation to the recent work has been taken in order to remove the redundant placement of mobile robotic sensors on the boundary of the region and to fully track the bounded smooth region. The concept of strongly connected quotient system of the decentralized control system has been used during line forming mode(s) inside the region. The algorithm is based on simple nearest neighbor rules derived from swarm intelligence. A number of numerical simulations have been done in order to validate the control algorithm.","PeriodicalId":242298,"journal":{"name":"2012 IEEE International Symposium on Intelligent Control","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121492180","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":"Indirect M-MRAC for systems with time varying parameters and bounded disturbances","authors":"V. Stepanyan, K. Krishnakumar","doi":"10.1109/ISIC.2012.6398265","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6398265","url":null,"abstract":"The paper presents a prediction-identification model based adaptive control method for uncertain systems with time varying parameters in the presence of bounded external disturbances. The method guarantees desired tracking performance for the system's state and input signals. This is achieved by feeding back the state prediction error to the identification model. It is shown that the desired closed-loop properties are obtained with fast adaptation when the error feedback gain is selected proportional to the square root of the adaptation rate. The theoretical findings are confirmed via a simulation example.","PeriodicalId":242298,"journal":{"name":"2012 IEEE International Symposium on Intelligent Control","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123400346","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":"Predictive control of networked systems with communication delays","authors":"P. Shi, Rongni Yang, M. Basin, H. Karimi","doi":"10.1109/ISIC.2012.6398259","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6398259","url":null,"abstract":"This paper studies the problem of predictive output feedback control for networked control systems with random communication delays. A networked predictive control scheme is employed to compensate for random communication delays, which mainly consists of the control prediction generator and network delay compensator. Furthermore, a new strategy of designing the time-varying predictive controller with mixed random delays for networked systems is proposed. Then the system can be formulated as a Markovian jump system. New techniques are presented to deal with the distributed delay in the discrete-time domain. Based on analysis of closed-loop networked predictive control systems, the designed predictive time-varying output feedback controller can achieve the desired control performance and also guarantee system stability. Simulation examples demonstrate the compensation for random communication delays and data loss in networked systems using the proposed predictive controller design strategy.","PeriodicalId":242298,"journal":{"name":"2012 IEEE International Symposium on Intelligent Control","volume":"27 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131407356","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}