{"title":"RACT - Randomized Algorithms Control Toolbox: A Tutorial Introduction","authors":"F. Dabbene, C. Lagoa, P. Shcherbakov, A. Tremba","doi":"10.1109/ISIC.2008.4635933","DOIUrl":"https://doi.org/10.1109/ISIC.2008.4635933","url":null,"abstract":"Probabilistic and randomized techniques for analysis of uncertain systems and design for robustly performing control systems have attracted considerable interest in recent years, and a significant amount of theoretical and algorithmic results have appeared in the literature. The starting idea in the probabilistic approach to the analysis of uncertain systems is to characterize the uncertain parameters as random variables, and then to evaluate the system performance in terms of probabilities. In an analogous sense, probabilistic synthesis is aimed at determining the design parameters so that certain desired levels of performance are attained with high probability. This probabilistic approach is complementary to the mainstream methods in robust control, which seek worst-case performance guarantees and consider the uncertainties as deterministic unknown-but-bounded quantities.","PeriodicalId":342070,"journal":{"name":"2008 IEEE International Symposium on Intelligent Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130196996","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 Stability and Stabilization of Discrete Time-Delay System with Time-Varying Delay and Non-Linear Perturbations","authors":"Yijing Wang, Xianbo Yan, Z. Zuo, Huimin Zhao","doi":"10.1109/ISIC.2008.4635963","DOIUrl":"https://doi.org/10.1109/ISIC.2008.4635963","url":null,"abstract":"In this paper, we consider the problems of robust stability and stabilization by static state feedback of discrete time-delay systems under non-linear perturbations. The delay in the system state may be time-varying. Firstly, by making use of some techniques, delay-dependent robust stability of the system is presented. Then, a sufficient condition on the existence of the state feedback controller is established in the terms of linear matrix inequality (LMI), which guarantee stability of the closed-loop system and at the same time maximize the nonlinearity bound. Finally, a numerical example is given to illustrate the effectiveness of the proposed results.","PeriodicalId":342070,"journal":{"name":"2008 IEEE International Symposium on Intelligent Control","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126890958","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":"Further Improvements on Delay-Dependent Absolute Stability of Delayed Systems with Sector-bounded Nonlinearity","authors":"Yijing Wang, Xianbo Yan, Z. Zuo, Huimin Zhao","doi":"10.1109/ISIC.2008.4635964","DOIUrl":"https://doi.org/10.1109/ISIC.2008.4635964","url":null,"abstract":"This note deals with the absolute stability of Lur'e control systems with time-varying delay. An augmented Lyapunov functional is introduced to establish some new stability criteria. First, for the nominal system, we develop some new stability conditions, by considering the additional useful terms and introducing some free-weighting matrices. In the proof of our results, we introduce some useful lemmas which have shown better effectiveness. Then, these new criteria are extended to the robust stability for uncertain systems with norm-bounded or polytopic-type uncertainties. The time-invariant and rate-independent delay criteria are obtained as some additional corollaries. Numerical examples show that the results obtained in this note improve the estimation of the stability limit over the existing ones.","PeriodicalId":342070,"journal":{"name":"2008 IEEE International Symposium on Intelligent Control","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128100027","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":"Delay-dependent Robust Stabilizability Criterion for Switched Time-delay Systems with Polytopic Uncertainties","authors":"Yijing Wang, Zhenxian Yao, Z. Zuo, Huimin Zhao","doi":"10.1109/ISIC.2008.4635949","DOIUrl":"https://doi.org/10.1109/ISIC.2008.4635949","url":null,"abstract":"This paper studies the robust stabilization problem for linear continuous-time systems with time-delay that are composed of polytopic uncertain subsystems. The approach followed in this note aims at the existence of common positive definite matrices for all convex combinations of the extreme points which belong to different subsystem matrices to check robust stability of the switched system. The stability condition of delay-dependent is analyzed by a new bounding method and is given in terms of bilinear matrix inequalities (BMI). Based on the obtained result, we also design the switching rule by the obtained common positive definite matrices.","PeriodicalId":342070,"journal":{"name":"2008 IEEE International Symposium on Intelligent Control","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132039682","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 logic navigation in multi agent systems","authors":"S. Bogdan, Ivan Rigo, D. Miklić","doi":"10.1109/ISIC.2008.4635944","DOIUrl":"https://doi.org/10.1109/ISIC.2008.4635944","url":null,"abstract":"In this paper we present a methodology for decision making in multi agent system comprised of agents driven by repulsive force and attracting force. Navigation functions are expressed as a set of fuzzy rules obtained by fuzzy Lyapunov stability criteria, thus ensuring stability of the overall system. The goal of the proposed methodology is to create desired formations by moving agents from their initial positions to formation targets, while in the same time avoiding collisions. The destination targets are dynamically permutated as long as the required formation is achieved.","PeriodicalId":342070,"journal":{"name":"2008 IEEE International Symposium on Intelligent Control","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116958416","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":"Four NSF GOALI projects with Academia and Xerox Corporation - The Impact and lessons learnt","authors":"L. K. Mestha","doi":"10.1109/ISIC.2008.4635927","DOIUrl":"https://doi.org/10.1109/ISIC.2008.4635927","url":null,"abstract":"Partnerships and collaborations between Xerox, Universities and Government Labs is an important element of Corporate Innovation Strategy. This talk will share examples of the successful four NSF GOALI projects that created value through interactions with academia and brought high quality researchers to Xerox who in turn created high value to our customers. The talk will describe the lessons learnt and the impact it generated for the printing industry.","PeriodicalId":342070,"journal":{"name":"2008 IEEE International Symposium on Intelligent Control","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127423943","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":"Direct Adaptive Neural Control Scheme for Discrete Time Affine Nonlinear Systems","authors":"I. Kar, L. Behera","doi":"10.1109/ISIC.2008.4635966","DOIUrl":"https://doi.org/10.1109/ISIC.2008.4635966","url":null,"abstract":"A feedback linearization based direct adaptive neural control scheme is proposed for a class of affine nonlinear discrete time systems. Two radial basis function networks are used to approximate the unknown system dynamics. The weight update laws for the networks are derived to make the closed loop error dynamics Lyapunov stable. The proposed control scheme removes the need for any projection algorithm or additional control action presented in the literature. Simulation results are presented to demonstrate the theoretical formulations.","PeriodicalId":342070,"journal":{"name":"2008 IEEE International Symposium on Intelligent Control","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126189031","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":"Fault Detection, Isolation, and Localization in Embedded Control Software","authors":"Ratnesh Kumar","doi":"10.1109/ISIC.2008.4635929","DOIUrl":"https://doi.org/10.1109/ISIC.2008.4635929","url":null,"abstract":"Embedded control software reacts to plant and environment conditions in order to enforce a desired functionality, and exhibit hybrid dynamics: control-loops together with switching logic. Control software can contain errors (faults), and fault-tolerance methods must be developed to enhance system safety and reliability. We present an approach for fault detection and isolation that is key to achieving fault-tolerance. Detection approach is hierarchical involving monitoring both the control software, and the controlled-system. The latter is necessary to safeguard against any incompleteness of software level properties. A model of the system being monitored is not required, and further the approach is modular and hence scalable. When fault is detected at the system level, an isolation of a software fault is achieved by using residue methods to rule out any hardware (plant) fault. We also proposed a method to localize a software fault (to those lines of code that contain the fault). The talk will be illustrated through a servo control application.","PeriodicalId":342070,"journal":{"name":"2008 IEEE International Symposium on Intelligent Control","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126763805","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":"Real-Time Output Trajectory Tracking using a Discrete Neural Backstepping Controller","authors":"A. Alanis, E. Sánchez, A. Loukianov","doi":"10.1109/ISIC.2008.4635939","DOIUrl":"https://doi.org/10.1109/ISIC.2008.4635939","url":null,"abstract":"This paper deals with adaptive tracking for discrete-time MIMO nonlinear systems in presence of bounded disturbances. A high order neural network (HONN) structure is used to approximate a control law designed by the backstepping technique, applied to a block strict feedback form (BSFF). The learning algorithm for the HONN is based on an Extended Kalman Filter (EKF). This paper also includes the respective stability analysis, using the Lyapunov approach. The proposed scheme is implemented in real-time to control a three phase induction motor, as to track a time-variying speed reference and a constant flux magnitude reference.","PeriodicalId":342070,"journal":{"name":"2008 IEEE International Symposium on Intelligent Control","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124108731","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":"Passivity-based Dynamic Visual Force Feedback Control for Fixed Camera Systems","authors":"H. Kawai, T. Murao, M. Fujita","doi":"10.1109/ISIC.2008.4635961","DOIUrl":"https://doi.org/10.1109/ISIC.2008.4635961","url":null,"abstract":"This paper investigates passivity based 3D dynamic visual force feedback control for fixed camera systems. In our approach, we can control not only the position but also the orientation of the robot hand with a contact force by using visual information. The proposed method can be regarded as an extension of the hybrid position/force control to the hybrid vision/force control. The main contribution of this paper is to show that the 3D dynamic visual force feedback system has the passivity which allows us to prove stability in the sense of Lyapunov. Both the passivity of the manipulator dynamics and the passivity of the visual feedback system are preserved. Finally simulation results on 3 DOF planar manipulator are presented to verify the stability of the 3D dynamic visual force feedback system and understand our proposed method simply.","PeriodicalId":342070,"journal":{"name":"2008 IEEE International Symposium on Intelligent Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131316098","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}