Shuo Han, U. Topcu, Molei Tao, H. Owhadi, R. Murray
{"title":"Convex optimal uncertainty quantification: Algorithms and a case study in energy storage placement for power grids","authors":"Shuo Han, U. Topcu, Molei Tao, H. Owhadi, R. Murray","doi":"10.1109/ACC.2013.6579988","DOIUrl":"https://doi.org/10.1109/ACC.2013.6579988","url":null,"abstract":"How does one evaluate the performance of a stochastic system in the absence of a perfect model (i.e. probability distribution)? We address this question under the framework of optimal uncertainty quantification (OUQ), which is an information-based approach for worst-case analysis of stochastic systems. We are able to generalize previous results and show that the OUQ problem can be solved using convex optimization when the function under evaluation can be expressed in a polytopic canonical form (PCF). We also propose iterative methods for scaling the convex formulation to larger systems. As an application, we study the problem of storage placement in power grids with renewable generation. Numerical simulation results for simple artificial examples as well as an example using the IEEE 14-bus test case with real wind generation data are presented to demonstrate the usage of OUQ analysis.","PeriodicalId":145065,"journal":{"name":"2013 American Control Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116817445","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":"Model-based scheduling for networked control systems","authors":"Han Yu, Eloy García, P. Antsaklis","doi":"10.1109/ACC.2013.6580185","DOIUrl":"https://doi.org/10.1109/ACC.2013.6580185","url":null,"abstract":"In this paper, we introduce a model-based scheduling strategy to achieve ultimate boundedness stability in the sensor-actuator networked control systems, where the communication network between the sensor and the network controller is subject to time-varying network induced delays and data-packet dropouts. An estimator and a nominal model of the plant are used explicitly at the controller node to generate control action and schedule control action updates. The data transmissions from the sensor to the network controller are “self-triggered” by imposing the scheduling of the data packet transmissions to meet a soft deadline, while the control action updates generated by the network controller are “event-triggered”, with a new measurement of the nominal model's state obtained to update control action whenever a triggering condition is satisfied or whenever the state of the nominal model is reset by the estimator.","PeriodicalId":145065,"journal":{"name":"2013 American Control Conference","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133853255","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}
Yun Chen, Qingqing Li, A. Xue, M. Ge, Junhong Wang
{"title":"Finite-time dynamic output feedback stabilization of delayed stochastic systems","authors":"Yun Chen, Qingqing Li, A. Xue, M. Ge, Junhong Wang","doi":"10.1109/ACC.2013.6580655","DOIUrl":"https://doi.org/10.1109/ACC.2013.6580655","url":null,"abstract":"This paper is concerned with finite-time dynamic output feedback control for Itô type stochastic systems with delay. First, a sufficient stochastic finite-time stability condition for the closed-loop stochastic time-delay systems is presented. Then, a desired dynamic output feedback controller is developed to stochastically finite-time stabilize the system under consideration. A numerical example is finally proposed to illustrate the validity of the approach.","PeriodicalId":145065,"journal":{"name":"2013 American Control Conference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123980277","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":"Effect of storage characteristics on wind intermittency mitigation effectiveness","authors":"C. Jaworsky, K. Turitsyn","doi":"10.1109/ACC.2013.6580396","DOIUrl":"https://doi.org/10.1109/ACC.2013.6580396","url":null,"abstract":"Stochastic variations and unpredictability of wind energy are the major concerns of power industry and hinder the wide scale adoption of wind power. Compensation of short term variability is one of the major challenges that the industry will face in the coming years. We analyze the potential impact of advanced control and storage technologies in reducing the intermittency of wind power. Using the convex optimization techniques we study the theoretical limits on the performance of storage technologies. Specifically we analyze the interplay between the variations of electric power fluctuations and the technical characteristics of storage available in the system. We quantify the trade-off between the reduction in power intermittency, storage capacity, power rating, and overall system efficiency.","PeriodicalId":145065,"journal":{"name":"2013 American Control Conference","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124342175","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}
Pedro Lourenço, Bruno J. Guerreiro, P. Batista, P. Oliveira, C. Silvestre
{"title":"Preliminary results on globally asymptotically stable simultaneous localization and mapping in 3-D","authors":"Pedro Lourenço, Bruno J. Guerreiro, P. Batista, P. Oliveira, C. Silvestre","doi":"10.1109/ACC.2013.6580305","DOIUrl":"https://doi.org/10.1109/ACC.2013.6580305","url":null,"abstract":"This paper presents the design, analysis, performance evaluation, and preliminary experimental validation of a globally asymptotically stable (GAS) filter for simultaneous localization and mapping (SLAM) with application to unmanned aerial vehicles (UAVs). The SLAM problem is formulated in a sensor-based framework and modified in such a way that the system structure may be regarded as linear time-varying for observability purposes, from which a Kalman filter with GAS error dynamics follows naturally. The proposed solution includes the estimation of both body-fixed linear velocity and rate-gyro measurement biases. Both simulation results and preliminary experimental results, using an instrumented quadrotor equipped with a RGB-D camera, are included in the paper to illustrate the performance of the algorithm under realistic conditions.","PeriodicalId":145065,"journal":{"name":"2013 American Control Conference","volume":"302 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114585815","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":"Neuro-fuzzy based human intelligence modeling and robust control in Gas Tungsten Arc Welding process","authors":"Yukang Liu, Weijie Zhang, Yuming Zhang","doi":"10.1109/ACC.2013.6580719","DOIUrl":"https://doi.org/10.1109/ACC.2013.6580719","url":null,"abstract":"Human welder's experiences and skills are critical for producing quality welds in Gas Tungsten Arc Welding (GTAW) process. Modeling of the human welder's response to 3D weld pool surface can help develop next generation intelligent welding machines and train welders faster. In this paper, a neuro-fuzzy based human intelligence model is constructed and implemented as an intelligent controller in automated GTAW process to maintain a consistent desired full penetration. An innovative vision system is utilized to real-time measure the specular 3D weld pool surface under strong arc interference in GTAW process. Experiments are designed to produce random changes in the welding speed and voltage resulting in fluctuations in the weld pool surface. Adaptive Neuro-Fuzzy Inference System (ANFIS) is proposed to correlate the human welder's response to the 3D weld pool surface. Control experiments are designed to start welding using different initial current and have various disturbances including variations of arc length and welding speed. It is found that the proposed human intelligence model can adjust the current to robustly control the process to a desired penetration state despite different initial conditions and various disturbances. A foundation is thus established to explore the mechanism and transformation of human welder's intelligence into robotic welding system.","PeriodicalId":145065,"journal":{"name":"2013 American Control Conference","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117342083","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 distribution dependent stability criteria for discrete-time systems with interval time-varying delay","authors":"Nan Xiao, Y. Jia, F. Matsuno","doi":"10.1109/ACC.2013.6580086","DOIUrl":"https://doi.org/10.1109/ACC.2013.6580086","url":null,"abstract":"This paper studies the stability problem for discrete-time systems with interval time-varying delay. By dividing delay interval into two subintervals, a delay-dependent exponential stability criterion is obtained based on Lyapunov stability theory and reciprocally convex lemma. Furthermore, by assuming that the distribution of time-varying delay is known, the difference of Lyapunov functional is allowed to have positive upper bound for the value of time-varying delay in one subinterval, and a new delay distribution dependent stability criterion is obtained. The obtained result is also extended to cope with the robust delay distribution dependent stability problem for uncertain time-varying delay systems. All the obtained criteria are presented in terms of Linear Matrix Inequalities (LMIs). Finally one numerical example is given to show the effectiveness of the proposed method.","PeriodicalId":145065,"journal":{"name":"2013 American Control Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127955881","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 time-limited balanced reduction method","authors":"H. Shaker, F. Shaker","doi":"10.1109/ACC.2013.6580703","DOIUrl":"https://doi.org/10.1109/ACC.2013.6580703","url":null,"abstract":"In this paper, a new method for model reduction of bilinear systems is presented. The proposed technique is from the family of gramian-based model reduction methods. The method uses time-interval generalized gramians in the reduction procedure rather than the ordinary generalized gramians and in such a way it improves the accuracy of the approximation within the time-interval which the method is applied. The time-interval generalized gramians are the solutions to the generalized time-interval Lyapunov equations. The conditions for these equations to be solvable are derived and an algorithm is proposed to solve these equations iteratively. The method is further illustrated with the help of an example. The numerical results show that the method is more accurate than its previous counterpart which is based on the ordinary gramians.","PeriodicalId":145065,"journal":{"name":"2013 American Control Conference","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124712939","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":"Quality-by-design by using the skewed spherical structured singular value","authors":"M. Kishida, R. Braatz","doi":"10.1109/ACC.2013.6580887","DOIUrl":"https://doi.org/10.1109/ACC.2013.6580887","url":null,"abstract":"One of the tenets of Quality-by-Design (QbD) initiatives is the determination of a set of input parameters, called a design space, that ensures that the system outputs lie within a set of design specifications. Existing methods for the construction of design spaces for nonlinear systems are described by box constraints on the input parameters, which greatly limit the size of the design space specifications. This observation motivates the definition of the skewed spherical structured singular value, which is a generalization of both the skewed structured singular value and the spherical structured singular value. The scaled main loop theorem for the skewed spherical structured singular value is proved, which involves somewhat different steps due to the presence of the Frobenius norm. This theorem is used to derive a numerical algorithm that characterizes the ellipsoidal set of allowable real parametric uncertainties that achieve the output specifications for linear fractional systems.","PeriodicalId":145065,"journal":{"name":"2013 American Control Conference","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132611614","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":"Porosity control in thin film solar cells: Two-dimensional case","authors":"Jianqiao Huang, G. Orkoulas, P. Christofides","doi":"10.1109/ACC.2013.6580067","DOIUrl":"https://doi.org/10.1109/ACC.2013.6580067","url":null,"abstract":"This work focuses on the simulation and control of a porous silicon thin film deposition process used in the manufacture of thin film solar cell systems. Initially, the process is simulated via kinetic Monte Carlo (kMC) method on a triangular lattice. Then a closed-form differential equation model is introduced to predict the dynamics of the kMC model and closed-loop system, and the model parameters in this model are identified by fitting to open-loop kMC simulation results. Finally, a model predictive controller (MPC) is designed and results demonstrate that both film thickness and porosity can be regulated to desired values.","PeriodicalId":145065,"journal":{"name":"2013 American Control Conference","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122128773","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}