{"title":"Detection of Epileptic Spike-Wave Discharges Using SVM","authors":"Yaozhang Pan, S. Ge, Feng Ru Tang, A. Mamun","doi":"10.1109/CCA.2007.4389275","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389275","url":null,"abstract":"In this work, support vector machine (SVM) is applied for detecting epileptic spikes and sharp waves in EEG signal. EEG data are obtained from two-channels EEG monitor on Swiss mice. Our technique maps these intracranial electroencephalogram (EEG) time series into corresponding novelty sequences by classifying short-time, energy based statistics computed from one-second windows of data. Numeric simulation studies demonstrate the effect of the SVM detection, and a comparison between SVM and artificial neural network with back-propagation algorithm is presented to show the advantages of SVM algorithm for detecting epileptic spike-wave discharge in EEG time series.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115692722","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}
M. J. Wolf, Winfried Storhas, A. Gambier, E. Badreddin
{"title":"A Bilinear Hybrid Model for Diauxic Production of ß-Galactosidase by E.coli in Biotechnological Plants","authors":"M. J. Wolf, Winfried Storhas, A. Gambier, E. Badreddin","doi":"10.1109/CCA.2007.4389253","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389253","url":null,"abstract":"In this paper, a complete dynamical model for a bioprocess in pharmaceutical industry is proposed. The obtained model is bilinear and hybrid. Thus, the process forms a good application example for both, the field of bilinear systems and the field of hybrid systems. It is therefore possible to improve the control system performance by using nonlinear hybrid control techniques. Validation of the model shows satisfying results. In addition, as the model is valid for all fermentation processes and it's derivation is performed step-by-step this paper can also serve as introductory example for teaching process modeling.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124277517","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":"Multi-Agent Formation Control and Trajectory Tracking via Singular Perturbation","authors":"S. Mastellone, D. Stipanović, M. Spong","doi":"10.1109/CCA.2007.4389290","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389290","url":null,"abstract":"We study the problem of formation control and trajectory tracking for a group of robotic systems modeled as second order linear dynamics. The objective is to achieve and maintain a stable formation for a group of multi-agent systems, while guaranteeing tracking of a specified trajectory. The group should appear to the external operator that steers the fleet as a rigid body. We partition the state space for the collective system into coordinates of the geometric center of mass of the team and coordinates that describe the relative position of each robot with respect to the center of mass, thus defining the formation shape. The resulting dynamics are in general coupled. By imposing holonomic constraints between the subsystems (i.e. configuration constraint) and hence reducing the system's dimension, we guarantee the group behaving as a rigid body. Using high gain feedback we achieve asymptotic decoupling between the center of mass and the shape dynamics and the analysis is performed using singular perturbation method. In fact, the resulting system is a singularly perturbed system where the shape dynamics describe the boundary layer while the center of mass dynamics describes the reduced system. After an initial fast transient in which the robots lock to the desired shape, a slower tracking phase follows in which the center of mass converges to the desired trajectory while maintaining a stable formation.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116634117","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":"Linear vs. Nonlinear Robustness Analysis: A Case Study","authors":"S. Fekri, D. Bates, I. Postlethwaite","doi":"10.1109/CCA.2007.4389323","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389323","url":null,"abstract":"We present a case study designed to highlight some of the practical issues that can arise when using linear robustness analysis techniques such as the structured singular value mu to analyse the robustness of uncertain nonlinear systems. The problem considered in the case study is the familiar ball and beam position control task, where the mass of the ball and the time-delay in the beam actuator are assumed to be uncertain. Using a symbolic linear fractional transformation (LFT)-based modelling approach, it is shown how both the original nonlinear and linearised plants may be represented in the form of LFT's. A linear controller is designed for the uncertain linearised plant using a mu-synthesis approach. The robustness of the linear and nonlinear closed-loop systems is then checked using mu-analysis and the Popov criterion, respectively. It is shown that as the degree of nonlinearity in the plant is increased, a sharp fall in the robustness properties of the controller from those predicted by the linear analysis is observed. The results of the study highlight the need for additional nonlinear analysis to confirm robustness analysis results derived using linearised models of nonlinear systems, as is usually the case in practice.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126133969","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":"Cooperative Vision-Based Multi-Vehicle Dynamic Coverage Control for Underwater Applications","authors":"Yue Wang, I. Hussein","doi":"10.1109/CCA.2007.4389210","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389210","url":null,"abstract":"This paper studies the dynamic coverage control problem for underwater applications using a fleet of cooperative submarines with vision-based cameras. A sensor model for the vision-based camera is first presented. The coverage goal, which is to collect a desired amount of satisfactory quality samples at every point in a given domain, is stated in a precise mathematical statement. A coverage error function is then defined and used as a metric for the coverage quality. A gradient-descent control law is then derived. Numerical simulations are presented to illustrate the main results. Centralized and decentralized system architectures currently under investigation by the authors for an experimental test-bed are also discussed.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115017386","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 2-DOF H∞ controller for a force feedback system","authors":"D. Gualino, I. Adounkpe","doi":"10.1109/CCA.2007.4389407","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389407","url":null,"abstract":"In the future, automotive steering system will be based on by-wire technology for many reasons. Then, a force feedback system is necessary to provide a virtual steering feel to the driver. In a previous paper, we have optimised the electrical and mechanical architecture of such a system. Because the control law did not guarantee robustness, we are now presenting a new control law that fits this safety requirement. The idea is to design a H∞ controller that guarantees the required performance, but also to take into account the system uncertainties to ensure robustness in stability and in performance.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129368834","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":"Integrating Prior Information into Subspace Identification Methods","authors":"P. Trnka, V. Havlena","doi":"10.1109/CCA.2007.4389392","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389392","url":null,"abstract":"Integrating prior information into subspace identification methods improves their usability for industrial data, where experimental data by them self are in many cases not good enough to give a proper model. The identification experiments in the industrial environment are limited by the economical and safety reasons. However, in practical applications, there is often strong prior information about the identified system, which can be exploited in the identification. The presented algorithm formulates subspace identification as a multi-step predictor optimization. Reformulation to the Bayesian framework allows to incorporate prior information. The paper is completed with the application to the experimental data from the oil burning steam boiler with the rated power of 100 MW.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124598031","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":"A New Fuzzy Increment Inverse Control for Unknown Nonlinear Discrete Dynamical System","authors":"Zhenwei Liu, Huaguang Zhang","doi":"10.1109/CCA.2007.4389452","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389452","url":null,"abstract":"A new fuzzy increment inverse control based on input/output fuzzy hyperbolic model is proposed for general unknown nonlinear discrete-time dynamical system in this paper. The increment inverse controller is derived from the input/output fuzzy hyperbolic model, and it is based on property of hyperbolic tangent function and reduces the complexity of system. The stability of control system is derived. The simulations demonstrate the performance of proposed fuzzy increment inverse control.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124689931","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 Fault Detection for Piecewise Linear Systems: Continuous-time Cases","authors":"Jun Xu, A. Loh, K. Lum","doi":"10.1109/CCA.2007.4389260","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389260","url":null,"abstract":"In this paper, we discuss the fault detection with unknown inputs for a class of continuous-time piecewise linear systems. Piecewise linear systems are mostly partitioned based on their state variables. Due to the system noise and estimation errors, the transitions of actual state and its estimate may not be synchronized, as well as the system modes. Hence, we consider the fault detection problem based on non-synchronized observer for these systems. This paper extends the authors' previous works and presents a number of less conservative design approaches.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128990063","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":"Generalized spectral radius and Lyapunov exponents of linear time varying systems","authors":"A. Czornik, A. Nawrat","doi":"10.1109/CCA.2007.4389415","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389415","url":null,"abstract":"In this paper we consider discrete time varying linear systems with matrix coefficients in fixed set and we describe the set of all possible Lyapunov exponents for the system. We describe this set in terms of generalized spectral sub radius and the generalized spectral radius of the set of possible values of the coefficients.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121641295","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}