J. Sjöberg, Simon Lindkvist, Jonas Linder, A. Daneryd
{"title":"Interactive multiobjective optimization for the hot rolling process","authors":"J. Sjöberg, Simon Lindkvist, Jonas Linder, A. Daneryd","doi":"10.1109/CDC.2012.6426292","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426292","url":null,"abstract":"In this paper, multi-objective optimization is applied to the hot rolling process. It is modeled mostly using first principle models considering, for instance, the mass balance (or mass flow rate), the tensions in the material, the power requirements, the thermal field, and the microstructure of the material.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121672142","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}
Frederik Deroo, M. Ulbrich, B. Anderson, S. Hirche
{"title":"Accelerated iterative distributed controller synthesis with a Barzilai-Borwein step size","authors":"Frederik Deroo, M. Ulbrich, B. Anderson, S. Hirche","doi":"10.1109/CDC.2012.6426735","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426735","url":null,"abstract":"Distributed control of large-scale dynamical systems poses a new challenge to the field of control driven by the technological advances of modern communication networks. A particular challenge is the distributed design of such control systems. Here, a distributed iterative controller synthesis method for continuous time linear systems using a gradient descent method is presented. One of the main contributions is the determination of the step size according to a distributed Barzilai-Borwein (BB) method. As the control objective, we treat the finite horizon linear quadratic cost functional. The gradient approach uses communication only with direct neighbors and is based on the forward simulation of the system states and the backwards simulation of adjoint states. The effectiveness of the approach is shown by means of numerical simulations.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121709314","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}
O. Mohamed, Jihong Wang, B. Al-Duri, Junfu Lu, Qirui Gao, Yali Xue, Xiangjie Liu
{"title":"Predictive control of coal mills for improving supercritical power generation process dynamic responses","authors":"O. Mohamed, Jihong Wang, B. Al-Duri, Junfu Lu, Qirui Gao, Yali Xue, Xiangjie Liu","doi":"10.1109/CDC.2012.6426530","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426530","url":null,"abstract":"The paper is to study new control strategies for improvement of dynamic responses of a supercritical power generation process through an improved control to the associated fuel preparation performed by the coal milling process. Any control actions taking for the milling process will take a long time to show their influences onto the boiler, turbine and generator responses as the whole process experiences coal transmission, grinding, drying and blowing to the furnace. The control philosophy behind the work presented in the paper is to develop a control strategy to achieve prediction of the future demand for fuel input and implement control actions at the earliest possible time. The paper starts from description of the nonlinear mathematical model developed for the supercritical coal fired power plant and then moves onto control strategy development. Finally, the simulation study has been carried out to demonstrate the effect of the new predictive control.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"58 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113968092","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":"Iterative learning control for multi-agent systems consensus tracking","authors":"Shiping Yang, Jian-xin Xu, Deqing Huang","doi":"10.1109/CDC.2012.6426074","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426074","url":null,"abstract":"In this paper, under repeatable operation environment, an iterative learning control (ILC) scheme is applied for multi-agent systems (MAS) to perform consensus tracking, where the underline communication graph is assumed to be fixed and directed. Different from many existing consensus schemes for linear agent dynamics, we consider time-varying nonlinear agent models with non-parametric uncertainties. Furthermore, the desired consensus trajectory is only known to a subset of the agents. By virtue of the repetitiveness of tracking task and the learning ability of each agent, the proposed ILC scheme enables all agents to achieve the asymptotic output consensus in the iteration domain and perfect tracking in the time domain simultaneously. Moreover, owing to the associated initial state learning controller, the proposed consensus scheme does not require the identical initial conditions, henceforth, making it more applicable in practice. In the end, an illustrative example is provided to demonstrate the efficacy of the consensus scheme.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"30 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113979802","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":"Strong measurement and quantum feedback for persistent Rabi oscillations in circuit QED experiments","authors":"M. Mirrahimi, B. Huard, M. Devoret","doi":"10.1109/CDC.2012.6426309","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426309","url":null,"abstract":"We investigate the stabilization of the dynamical state of a superconducting qubit. In a series of papers, A. Korotkov and his co-workers suggested that continuous weak measurement of the state of a qubit and applying an appropriate feedback on the amplitude of a Rabi drive, should maintain the coherence of the Rabi oscillations for arbitrary time. Here, in the aim of addressing a metrological application of these persistent Rabi oscillations, we explore a new variant of such strategies. This variant is based on performing strong measurements in a discrete manner and using the measurement record to correct the phase of the Rabi oscillations. Noting that such persistent Rabi oscillations can be viewed as an amplitude-to-frequency convertor (converting the amplitude of the Rabi microwave drive to a precise frequency), we propose another feedback layer consisting of a simple analog phase locked loop to compensate the low frequency deviations in the amplitude of the Rabi drive.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114700478","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":"On the time optimal control for nonlinear saturated systems","authors":"H. Trogmann, L. Re","doi":"10.1109/CDC.2012.6426401","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426401","url":null,"abstract":"Time optimal output transition for input constrained systems is a frequent requirement in many actuation systems. In the case of known and/or linear systems, techniques exist to determine the corresponding control input either analytically and/or experimentally. In other cases however, is a sufficiently precise model is available. Against this background this paper proposes a learning algorithmic approach to solve the issue for unknown nonlinear saturated systems. The proposed approach searches the fastest transition by setting a time optimal but unfeasible trajectory and using learning techniques to recover the nearest feasible one in some sense. To achieve this goal, the proposed approach performs twice a learning process. On one side, it determines by iterative learning control for each suggested trajectory either the optimal input if the trajectory is feasible or an error information if this is not the case. On the other side, a model free learning model generator is used to determine the best feasible reference trajectory.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114759031","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":"Unified approach for minimal output dead time compensation in MIMO non-square processes","authors":"R. Flesch, T. Santos, J. Normey-Rico","doi":"10.1109/CDC.2012.6426660","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426660","url":null,"abstract":"This paper presents a multivariable dead-time compensating structure for non-square systems with multiple time delays. The proposed strategy compensates the minimal output dead time and it can be used to control stable, integrating, and unstable processes. Additionally, it is shown that simple tuning rules can be used to balance a tradeoff between performance and robustness. Two simulation case studies are presented to show the good properties of the proposed approach and also to compare the obtained solutions with some recent results from the control literature.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114830575","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":"Cramer-Rao bounds on eigenvalue estimates from impulse response data: The multi-observation case","authors":"Jackeline Abad Torres, Sandip Roy","doi":"10.1109/CDC.2012.6426627","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426627","url":null,"abstract":"We examine the effect of having multiple observations in the estimation of non-random modes of linear dynamical systems from noisy impulse response data. Specifically, for this estimation problem, we develop an explicit algebraic characterization of the Fisher information matrix and hence Cramer-Rao bound in terms of the eigenvalues and residues of the transfer function, and so develop some simple bounds on the minimum possible error variance for eigenvalue estimates in terms of the eigenvalues' locations. We focus especially on developing a relationship between the Cramer-Rao bound on pole estimates for the multi-observation case, and those when each single observation is used separately for estimation.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124301214","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-tolerant sensor network based on fault evaluation matrix and compensation for intermittent observation","authors":"Kazuya Kosugi, Shinichiro Tokumoto, T. Namerikawa","doi":"10.1109/CDC.2012.6427056","DOIUrl":"https://doi.org/10.1109/CDC.2012.6427056","url":null,"abstract":"This paper deals with a fault-tolerant sensor network configuration problem for a target navigation. A sensor network system consists of many sensor nodes and its network connections. Each sensor node can exchange information by wireless communication. A disadvantage of this system's property is that if there is an inaccurate information from a faulty sensor, this information has possibilities to be diffused to other sensors. Therefore, it is important to reduce effects of the inaccurate information by detecting a faulty sensor as possible as we can. And moreover, in feedback control system for navigation, we have to consider a lack of control inputs which happens depending on each sensor's intermittent observation. We propose two estimation methods for constructing a fault tolerant system. Specifically, we propose a fault-evaluation matrix for the fault detection, and we define a novel switching rule for shutting off inaccurate measurement data. Then we also propose a compensation algorithm for the problem of intermittent observation by using an estimated observation value.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124365279","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":"An observer for the synchronization of chaotic Liouvillian systems: A real-time application to Chua's oscillator","authors":"R. Martínez-Guerra, J. Mata-Machuca","doi":"10.1109/CDC.2012.6426017","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426017","url":null,"abstract":"This work deals with the master-slave synchronization of chaotic oscillators with Liouvillian properties (chaotic Liouvillian system) based on nonlinear observer design. The strategy consists of proposing a polynomial observer (slave system) which tends to follow exponentially the chaotic oscillator (master system). The proposed technique is applied in the synchronization of Chua's circuit using Matlab-Simulink® and Matlab®-LMI programs. Experimental results are shown to visualize and illustrate the effectiveness of the proposed observer.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127702416","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}