{"title":"Robust partially mode delay-dependent ℋ∞ output feedback control of discrete-time networked control systems","authors":"S. Chae, Dan Huang, S. Nguang","doi":"10.1109/ACC.2011.5991254","DOIUrl":"https://doi.org/10.1109/ACC.2011.5991254","url":null,"abstract":"This paper examines robust partially mode de lay dependent H∞ output feedback controller design for discrete-time systems with random communication delays. A finite state Markov chain with partially known transition probabilities is used to model random communication delays between sensors and controller. Based on Lyapunov-Krasovskii functional, a novel methodology for designing a partially mode delay-dependent output feedback controller is proposed. Using cone complementarity linearization algorithm bilinear matrix inequalities (BMIs) are solved to obtain the controller gains. We also show that the results for completely known transition probabilities and completely unknown transition probabilities can be derived as special cases of our result. The effectiveness of the proposed design methodology is demonstrated by a numer ical example. To the best of authors' knowledge, the problem of designing an output feedback controller for a partially known transition probability has not been fully investigated.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127784222","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":"Adaptive output consensus tracking of uncertain multi-agent systems","authors":"Wenlin Zhang, Z. Wang","doi":"10.1080/00207721.2014.998321","DOIUrl":"https://doi.org/10.1080/00207721.2014.998321","url":null,"abstract":"In this paper, we consider the adaptive output consensus tracking of a class of higher-order parametric strict feedback systems with mismatched uncertainties. The consensus reference is taken as a virtual leader, whose output is available to the leader of the group. The proposed approach is based on the estimation of consensus reference and decentralized tracking control, where each agent communicates with their neighbors, estimates the consensus reference, and make a control decision based on the estimated consensus reference. Challenges of the approach include the design of decentralized adaptive tracking control assuming each agent has knowledge of the consensus reference in the presence of mismatched uncertainties, and the design of estimators that allow agents to make correct estimations of the consensus reference. Sufficient conditions are given to ensure output consensus tracking is achieved. Simulation results show satisfactory performances.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127817648","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 system for seismically excited non-linear base-isolated buildings","authors":"Sundaram Suresh, S. Narasimhan","doi":"10.1109/ACC.2011.5991269","DOIUrl":"https://doi.org/10.1109/ACC.2011.5991269","url":null,"abstract":"This paper presents a direct adaptive control design to suppress vibrations in nonlinear base-isolated buildings arising due to severe earthquakes. The control design is based on discrete direct adaptive neural control, where the neural controller parameters are adapted using Lyapunov based tuning laws. There is no explicit identification phase in this control scheme, and the resulting controller operates directly on measurements without a state estimator. Performance of the proposed control scheme is evaluated on a full-scale nonlinear three-dimensional base-isolated benchmark structure incorporating lateral-torsion superstructure behavior, and biaxial interaction of nonlinear bearings. The results show that the proposed controller scheme is capable of achieving good response reductions for a wide range of near-fault earth quakes, without corresponding increases in the superstructure responses.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134644428","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":"Estimation and control of UAV swarms for distributed monitoring tasks","authors":"F. Morbidi, R. Freeman, K. Lynch","doi":"10.1109/ACC.2011.5991398","DOIUrl":"https://doi.org/10.1109/ACC.2011.5991398","url":null,"abstract":"This paper proposes a distributed estimation and control strategy for cooperative monitoring by swarms of unmanned aerial vehicles (UAVs) modeled as constant-speed unicycles. The geometric moments, encoding an abstraction of the swarm, are controlled via a nonlinear gradient descent to match those of a discrete set of particles describing the occurrence of some event of interest to be monitored. Because of its limited sensing capabilities, each agent can measure the position of only a subset of the overall particles, from which it locally estimates the desired moments of the swarm running a proportional-integral (PI) average consensus estimator. The closed-loop stability of the system arising from the combination of the gradient-descent controllers and the consensus estimators is studied and simulation results are provided to illustrate the proposed theory.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127223677","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":"Controller design for nonlinear systems using the robust controller bode (RCBode) plot","authors":"J. Taylor, W. Messner","doi":"10.1109/ACC.2011.5991423","DOIUrl":"https://doi.org/10.1109/ACC.2011.5991423","url":null,"abstract":"In this paper, we develop a controller design method for nonlinear systems using the Robust Controller Bode (RCBode) plot. A robust performance criterion defines allowed and forbidden regions for the controller frequency response on the RCBode plot. The nonlinear system is linearized about a finite set of operating points which are considered to be a set of structured uncertainties. The union of the forbidden regions of each linearized system then defines the RCBode plot of the nonlinear system. We apply an iterative loop shaping technique to eliminate the intersections between the forbidden regions of the RCBode plot and the frequency response of the controller. We demonstrate the effectiveness of this technique for the design of a flow-rate controller for a dynamic nonlinear butterfly valve system. We show that this design is less conservative than a design satisfying the Circle Criterion. Finally, simulations are presented which verify the performance of the compensated system.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133812645","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":"Design of switching strategy for Adaptive Cruise Control under string stability constraints","authors":"Yaoguang Zhai, Lingxi Li, G. Widmann, Yaobin Chen","doi":"10.1109/ACC.2011.5991004","DOIUrl":"https://doi.org/10.1109/ACC.2011.5991004","url":null,"abstract":"A new switching strategy is proposed in the design of an Adaptive Cruise Control (ACC) system operating in a platooning traffic configuration. The proposed control system enjoys shorter elapsed time than conventional methods while still being able to maintain a safe distance between vehicles during transient process. During the headway control mode of an ACC controller, a constant deceleration is maintained by the following vehicle when approaching the preceding one. In addition, string stability of a platoon of vehicles equipped with such an ACC controller has been taken into consideration and parameter constraints of the controllers are derived to mitigate steady state error propagation. A longitudinal 1-D vehicle model of a passenger car is used for simulation purposes and the results from the proposed design are verified.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133839277","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 order reduction for MIMO linear dynamical networks via Reaction-Diffusion transformation","authors":"T. Ishizaki, K. Kashima, J. Imura, K. Aihara","doi":"10.1109/ACC.2011.5990628","DOIUrl":"https://doi.org/10.1109/ACC.2011.5990628","url":null,"abstract":"In this paper, we propose a model order reduction method for MIMO linear dynamical networks, where a large number of subsystems interact according to a network. In this method, a spatially one-dimensional reaction-diffusion structure, which can be efficiently exploited even for large-scale systems, is fully utilized. We give a simple algorithm as well as a computable error bound in terms of the H∞-norm.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"497 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124218861","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":"Calibrating Energy Conversion Networks for utility optimization and risk management","authors":"P. Mousaw, J. Kantor","doi":"10.1109/ACC.2011.5991039","DOIUrl":"https://doi.org/10.1109/ACC.2011.5991039","url":null,"abstract":"We demonstrate modeling and parameter estimation of flexible energy systems used in campus and municipal scale utilities with complex energy requirements, multiple fuel sources, and requiring substantial operational flexibility. Useful models should accurately predict the work production of these flexible utilities. A framework for such a model is a class of bilinear models for estimating the efficiency of complex and flexible energy utilities [9], This framework, which we call Energy Conversion Networks (ECN), may be used to determine financially optimal operating conditions and opportunities for financial and operational hedging by the utility operator [8], [10]. Given an ECN model, we compute a unique input-output mapping from the decision variables and heat input to work output. Multiple network realizations may be possible from a given input/output model. Work output from these models are expressed as rational functions of entropy flux with parameters of temperatures, thermal conductances, and engine efficiencies. Using plant data from a report published by the California Energy Commission [6], we demonstrate fitting this data on several network realization examples. We use measured work output as a function of heat input to calibrate a model. Heat rate curves are the most common way these data are typically available. We developed a data fitting procedure to determine the parameters resulting in the best calibrated model given a particular network model and data set.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"322 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124562244","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}
N. Meskin, H. Nounou, M. Nounou, A. Datta, E. Dougherty
{"title":"Intervention in biological phenomena modeled by S-systems: A model predictive control approach","authors":"N. Meskin, H. Nounou, M. Nounou, A. Datta, E. Dougherty","doi":"10.1109/ACC.2011.5990875","DOIUrl":"https://doi.org/10.1109/ACC.2011.5990875","url":null,"abstract":"Recent years have witnessed extensive research activity in modeling genetic regulatory networks (GRNs) as well as in developing therapeutic intervention strategies for such networks. S-systems, which offer a good compromise between accuracy and mathematical flexibility, are a promising framework for modeling the dynamical behavior of GRNs, as well as that of biochemical pathways. In this paper, an intervention strategy is proposed for the S-system model. In this approach, a model predictive control algorithm is developed which guides the target variables to their desired values. The proposed intervention strategy is applied to the glycolytic-glycogenolytic pathway as well as a generic branched pathway and the simulation results presented demonstrate the effectiveness of the proposed scheme.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114756531","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":"Adaptive backstepping-based synchronization of uncertain networked Lagrangian systems","authors":"Wenlin Zhang, Z. Wang, Yi Guo","doi":"10.1109/ACC.2011.5990996","DOIUrl":"https://doi.org/10.1109/ACC.2011.5990996","url":null,"abstract":"In this paper, we study the synchronization problem of networked uncertain Lagrangian systems on directed communication topologies. For the nominal model, we propose a backstepping-based synchronization design for heterogenous Lagrangian systems on digraphs with a spanning tree. We relax the feedback gain constraints on the distributed synchronization control law which encompasses the existing double integrator consensus design as a special case. For the uncertain model, we develop a distributed adaptive redesign assuming that the uncertainty in each agent dynamics can be expressed as a linear parametrization. Simulation results show the effectiveness of the proposed method.","PeriodicalId":225201,"journal":{"name":"Proceedings of the 2011 American Control Conference","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114861715","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}