T. Passenbrunner, S. Formentin, S. Savaresi, L. Re
{"title":"Direct data-driven control of internal combustion engine test benches using closed-loop experiments","authors":"T. Passenbrunner, S. Formentin, S. Savaresi, L. Re","doi":"10.1109/CDC.2012.6425955","DOIUrl":"https://doi.org/10.1109/CDC.2012.6425955","url":null,"abstract":"This paper proposes a direct data-driven design approach for multivariable control of rotational speed and torque dynamics in a dynamic internal combustion engine test bench. The controller parameters are directly identified from data using a suitably extended version of the algorithm introduced in [1], allowing closed-loop experiments to be employed. The proposed controller is designed and validated using an accurate simulator of the internal combustion engine test bench on which a comparison with other model-based control strategies is also shown.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"33 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":"127489317","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":"Shaping power system inter-area oscillations through control loops of grid integrated wind farms","authors":"D. Gayme, A. Chakrabortty","doi":"10.1109/CDC.2012.6426125","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426125","url":null,"abstract":"This paper presents a control design for shaping the inter-area oscillation spectrum of a large wind-integrated power system. The power system is modeled using a continuum representation of the electro-mechanical swing dynamics with the wind power entering as a spatial point source at a specific electrical distance along the transfer path. The frequency response, particularly that of inter-area oscillations, has previously been shown to be highly sensitive to this location. However, in many situations, it may not be possible to site a wind farm at the location with the most desirable frequency response. Here, we show that one can design a wind farm controller to shape the frequency response of the power system with a wind farm at an arbitrary location to closely resemble that of a system with a more favorable wind injection site. The results are illustrated using simulations based on power system models inspired by US west coast transfer paths such as the Pacific AC Inter-tie.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"19 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":"124834043","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":"Reachability analysis for linear discrete time set-dynamics driven by random convex compact sets","authors":"S. Raković, I. Matei, J. Baras","doi":"10.1109/CDC.2012.6426143","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426143","url":null,"abstract":"This paper studies linear set-dynamics driven by random convex compact sets (RCCSs), and derives the set-dynamics of the expectations of the associated reach sets as well as the dynamics of the corresponding covariance functions. It is established that the expectations of the reach sets evolve according to deterministic linear set-dynamics while the associated dynamics of covariance functions evolves on the Banach space of continuous functions on the dual unit ball. The general framework is specialized to the case of Gaussian RCCSs, and it is shown that the Gaussian structure of random sets is preserved under linear set-dynamics of random sets.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"27 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":"124934416","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":"Terrain-based vehicle localization from real-time data using dynamical models","authors":"Emil Laftchiev, C. Lagoa, S. Brennan","doi":"10.1109/CDC.2012.6426351","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426351","url":null,"abstract":"This paper describes a novel method for the location of road vehicles using vehicle pitch data obtained from on-board sensors. The method encodes the road map data using linear dynamical models, and then, during travel, identifies the vehicle location through continuous validation of the previously obtained linear models. The approach presented has several advantages over previous approaches in the literature, namely a smaller computational burden, a more definitive location estimate, and a simplified and more direct way of handling common types of noise. These benefits have the potential to both increase the speed of the localization and to reduce the implementation cost of terrain-based localization. The method is tested in simulation using real-world road data collected in State College PA, USA. Performance is demonstrated both in a noise-free and noisy environments, and a bound is shown on the convergence distance.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"79 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":"125115411","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":"Bootstrap current optimization in Tokamaks using sum-of-squares polynomials","authors":"Aditya Gahlawat, E. Witrant, M. Peet, M. Alamir","doi":"10.1109/CDC.2012.6426638","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426638","url":null,"abstract":"In this paper we present a Lyapunov based feedback design strategy, by employing the sum-of-squares polynomials framework, to maximize the bootstrap current in tokamaks. The bootstrap current may play an important role in reducing the external energy input required for tokamak operation. The sum-of-squares polynomials framework allows us to algorithmically construct controllers. Additionally, we provide a heuristic to take into account the control input shape constraints which arise due to limitations on the actuators.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"166 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":"125143092","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":"Execution time certification for gradient-based optimization in model predictive control","authors":"Pontus Giselsson","doi":"10.1109/CDC.2012.6427093","DOIUrl":"https://doi.org/10.1109/CDC.2012.6427093","url":null,"abstract":"We consider model predictive control (MPC) problems with linear dynamics, polytopic constraints and quadratic objective. The resulting optimization problem is solved by applying an accelerated gradient method to the dual problem. The focus of this paper is to provide bounds on the number of iterations needed in the algorithm to guarantee a prespecified accuracy of the dual function value and the primal variables as well as guaranteeing a prespecified maximal constraint violation. The provided numerical example shows that the iteration bounds are tight enough to be useful in an inverted pendulum application.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"93 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":"125972378","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}
K. Soltesz, G. Dumont, K. Heusden, T. Hägglund, J. Ansermino
{"title":"Simulated mid-ranging control of propofol and remifentanil using EEG-measured hypnotic depth of anesthesia","authors":"K. Soltesz, G. Dumont, K. Heusden, T. Hägglund, J. Ansermino","doi":"10.1109/CDC.2012.6426858","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426858","url":null,"abstract":"This paper suggests an extension of an existing, clinically evaluated, closed-loop drug delivery system for hypnotic depth control using propofol. The extension introduces closed-loop administration of the analgesic drug remifentanil, thus forming a multiple input-single output (MISO) control system. Remifentanil acts and is metabolized at a significantly faster time scale than propofol. Direct control of analgesia is hindered by the current absence of a reliable real-time nociception monitor. However, several hypnotic depth monitors respond to nociception. Sudden changes in the measured hypnotic depth are frequently caused by changes in noxious stimulation. The novelty of this work lies in increasing the disturbance rejection bandwidth of the control system for hypnotic depth by directing the high frequency content of its control error to a remifentanil controller. Such a mid-ranging control system was implemented and tuned based on 23 patient models obtained from a previous clinical study and its performance is demonstrated through a simulation study.","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":"123241587","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":"Event-triggered PI control: Saturating actuators and anti-windup compensation","authors":"D. Lehmann, G. Kiener, K. Johansson","doi":"10.1109/CDC.2012.6426747","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426747","url":null,"abstract":"Event-triggered control aims at reducing the communication load over the feedback link in networked control systems by adapting the information exchange to the current needs. This paper investigates the consequences of actuator saturation on the behavior of event-triggered PI control. Stability properties are derived using linear matrix inequalities (LMIs) which show how the stability of the event-triggered control loop depends on the selection of the event threshold. In order to overcome the potential performance degradation due to integrator windup caused by actuator saturation, the proposed scheme is extended by incorporating a static anti-windup mechanism. The results are illustrated by simulations.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"375 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":"123409897","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":"Continuous-time stochastic Mirror Descent on a network: Variance reduction, consensus, convergence","authors":"M. Raginsky, J. Bouvrie","doi":"10.1109/CDC.2012.6426639","DOIUrl":"https://doi.org/10.1109/CDC.2012.6426639","url":null,"abstract":"The method of Mirror Descent (MD), originally proposed by Nemirovski and Yudin in the late 1970s, has recently seen a major resurgence in the fields of large-scale optimization and machine learning. In a nutshell, MD is a primal-dual method that can be adapted to the geometry of the optimization problem at hand through the choice of a suitable strongly convex potential function. We study a stochastic, continuous-time variant of MD performed by a network of coupled noisy agents (processors). The overall dynamics is described by a system of stochastic differential equations, coupled linearly through the network Laplacian. We address the impact of the network topology (encoded in the spectrum of the Laplacian) on the speed of convergence of the “mean-field” component to the optimum. We show that this convergence is particularly rapid whenever the potential function can be chosen in such a way that the resulting mean-field dynamics in the dual space follows an Ornstein-Uhlenbeck process.","PeriodicalId":312426,"journal":{"name":"2012 IEEE 51st IEEE Conference on Decision and Control (CDC)","volume":"10 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":"123560964","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":"Consensus tracking for general linear dynamical target via periodic sensing","authors":"Ya Zhang, Yu-Ping Tian","doi":"10.1109/CDC.2012.6425814","DOIUrl":"https://doi.org/10.1109/CDC.2012.6425814","url":null,"abstract":"This paper studies the consensus tracking of general dynamical target via periodic sensing and investigates allowable upper bounds of sensing period. Both fixed and switching topology cases are discussed. In both cases, from a series of system transformations the consensus tracking problem is converted to the robust stability problem of some uncertain system. Then LMI-based allowable upper bounds of sensing period are provided by solving optimal H∞ control problem. Sufficient and explicit bounds for sensing period, which are given by the eigenvalues of target's dynamic matrix, are further provided for systems under fixed topology and switching connected topologies, respectively. Numerical examples are given to illustrate the results.","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":"125319606","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}