{"title":"Decentralized agent-based control of chilled water plants using wireless sensor and actuator networks","authors":"Michael B. Kane, J. Lynch, A. Zimmerman","doi":"10.1109/ISRCS.2011.6016104","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016104","url":null,"abstract":"The resiliency of a ship is dependent upon the resiliency of the various engineering plants that operate the ship. Especially for combatant ships, engineering plants must be reconfigurable when damage occurs to ensure the ship has fight-through capabilities. Furthermore, reduced manning on ships necessitates the automated operation of engineering plants, especially their reconfiguration during times of battle damage. Wireless telemetry has been proposed in lieu of traditional tethered architectures for the monitoring and control of shipboard engineering plants. In this study, wireless nodes capable of sensing and actuation are explored for the automated control of a chilled water plant. A utility oriented agent-based control network is proposed as a scalable and robust approach to the automated configuration of a chilled water plant. To illustrate the performance of the proposed control and reconfiguration architecture, a small-scale chilled water demonstrator is utilized. A network of wireless sensing and actuation nodes are shown to be highly effective in monitoring and reconfiguring the chilled water plant under varying operational conditions to achieve its operational objectives.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131752748","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}
S. Lahiri, K. Miu, H. Kwatny, G. Bajpai, A. Beytin, J. Patel
{"title":"Fuel optimization under quality of service constraints for shipboard hybrid electric drive","authors":"S. Lahiri, K. Miu, H. Kwatny, G. Bajpai, A. Beytin, J. Patel","doi":"10.1109/ISRCS.2011.6016105","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016105","url":null,"abstract":"This paper presents an approach to optimize fuel costs of a hybrid electric ship propulsion system under different mission considerations. The static optimization problem is to commit and dispatch the generation sources such that fuel cost is minimized, while meeting load demands and complying with dynamic Quality of Service (QOS) constraints. A simulation platform capable of representing a continuous time differential algebraic model of the power system and discrete switching events has been developed. A generation commitment list is prepared for each mission requirement and commitments satisfying QOS constraints are determined by simulation. The feasible commitments are economically dispatched based on quadratic fuel cost curves, and the commitment with the lowest cost per unit time is selected as optimal for that mission. Comparative cost benefits of an optimal commitment over a non-optimal commitment are enumerated.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133688592","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}
Q. Dong, Kristen Bradshaw, Stephen Chaves, Li Bai, S. Biswas
{"title":"Multi-agent based federated control of large-scale systems with application to ship roll control","authors":"Q. Dong, Kristen Bradshaw, Stephen Chaves, Li Bai, S. Biswas","doi":"10.1109/ISRCS.2011.6016106","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016106","url":null,"abstract":"Large-scale systems refer to systems that consist of many interconnected local systems. Conventional centralized control schemes are not suitable for such large-scale systems because of their complex local and global dynamic behavior as well as computational difficulties. This paper introduces the general framework of an agent-based federated control motivated by the political structure where partially self-governing states are united by a federal government. Likewise, a multi-agent based federated control system is composed of local autonomous subsystems (agent-based controllers) that cooperate to provide an overall (large-scale) system behavior. In this concept, each agent has partial observations of the state of other agents and executes the local control law correspondingly to satisfy the performance requirements at the overall system level. Preliminary results are presented on the general architecture of multi-agent federated control for local and global connective stability.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"355 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121633309","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":"State-based adjoint model reduction for large scale control problems","authors":"Y. Bang, H. Abdel-Khalik","doi":"10.1109/ISRCS.2011.6016091","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016091","url":null,"abstract":"Design of robust control systems requires efficient ways to compute variations of responses of interest with respect to a wide range of variations for a large number of initial conditions. This is necessary in order to perform engineering oriented applications such as design optimization, inverse studies, and sensitivity analysis. A reduced order model based on an adjoint approach that takes advantage of the contraction in the state rather than the response phase space is developed to calculate the variations in responses of interest with respect to input parameters. The approach is designed to combat the explosion in the state phase space often limiting the design of reduced order models. We show that the developed adjoint approach is independent of the given response, and is only dependent on the constraint equations relating initial conditions to the state variables. The mathematical framework hybridizes sampling techniques with adjoint methods to find the reduced order model. Its construction permits a general applicability to linear and nonlinear dynamical systems with general initial conditions variations. A proof of principle linear problem is demonstrated in this summary. The details of its general applicability to nonlinear models are left to a full journal article.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128516947","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":"Trust and reputation approach to smart grid security","authors":"Omkar Pradhan, M. Awan, K. Newman, F. Barnes","doi":"10.1109/ISRCS.2011.6016097","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016097","url":null,"abstract":"The electric grid in the US is aging and needs to be upgraded. Solutions involve the use of equipment with wireless communication capability for monitoring of generation, transmission and distribution. These systems introduce vulnerabilities to attack that can lead to blackouts and damage to equipment. In order to increase the reliability of the power systems, it is important to detect sources of risk at the system and individual level. The approach described in this paper applies trust and reputation management at the home based meter to detect when false reports occur.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133076283","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":"Reference-free detection of spike faults in wireless sensor networks","authors":"C. Lo, J. Lynch, M. Liu","doi":"10.1109/ISRCS.2011.6016107","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016107","url":null,"abstract":"In recent years, wireless sensor networks have been applied to many applications. These sensors are usually simple, low-cost devices, deployed in large quantities, and prone to failure. This paper presents a model-free and reference-free spike fault identification method based on pair-wise verification. When the input of a system comes from a common source, there is a linear relationship between the output of any pair of sensors. This linear relationship between sensor pairs can be obtained through training. We present a method which is able to find faulty sensors suffering from sparse spikes in their outputs by pairwise comparisons even though there is no knowledge of which sensor is normal or abnormal, and no knowledge of the common input. The performance and limitations of the algorithm are discussed. Simulation results show that our algorithm has good performance, even when the spike fault power is comparable to the output signal power or observation noise power.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124523593","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 measure of observability for multiconverter shipboard power systems","authors":"J. C. Jiménez, C. Dafis, K. Miu, C. Nwankpa","doi":"10.1109/ISRCS.2011.6016102","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016102","url":null,"abstract":"Perturbations in shipboard power systems can make controllers useless if improper control strategies are used. Incorporating the nonlinear dynamics of the shipboard power system in the control methodology is the solution to this problem. Before this solution is designed, the concept of nonlinear observability should be first investigated. A measure of observability of such systems will allow one to quantify their operational performance. This paper attempts to account for an observability measure of these multiconverter systems through the inclusion of other dynamics such as electromechnical behavior of generators and loads, providing a more comprehensive view of system performance. In the example section the observability condition number will lead to an indicator of how far the system is from being unobservable based on the system load profile.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"1991 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127321863","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":"Towards resilient critical infrastructures: Application of Type-2 Fuzzy Logic in embedded network security cyber sensor","authors":"O. Linda, M. Manic, J. Alves-Foss, T. Vollmer","doi":"10.1109/ISRCS.2011.6016083","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016083","url":null,"abstract":"Resiliency and cyber security of modern critical infrastructures is becoming increasingly important with the growing number of threats in the cyber environment. This paper proposes an extension to a previously developed fuzzy logic based anomaly detection network security cyber sensor via incorporating Type-2 Fuzzy Logic (T2 FL). In general, fuzzy logic provides a framework for system modeling in linguistic form capable of coping with imprecise and vague meaning of words. T2 FL is an extension of Type-1 FL which proved to be successful in modeling and minimizing the effects of various kinds of dynamic uncertainties. In this paper, T2 FL provides a basis for robust anomaly detection and cyber security state awareness. In addition, the proposed algorithm was specifically developed to comply with the constrained computational requirements of low-cost embedded network security cyber sensors. The performance of the system was evaluated on a set of network data recorded from an experimental cyber security test-bed.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121914436","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. Villez, Akshya Gupta, V. Venkatasubramanian, C. Rieger
{"title":"Resilient design of recharging station networks for electric transportation vehicles","authors":"K. Villez, Akshya Gupta, V. Venkatasubramanian, C. Rieger","doi":"10.1109/ISRCS.2011.6016089","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016089","url":null,"abstract":"As societies shift to “greener” means of transportation using electricity-driven vehicles one critical challenge we face is the creation of a robust and resilient infrastructure of recharging stations. A particular issue here is the optimal location of service stations. In this work, we consider the placement of battery replacing service station in a city network for which the normal traffic flow is known. For such known traffic flow, the service stations are placed such that the expected performance is maximized without changing the traffic flow. This is done for different scenarios in which roads, road junctions and service stations can fail with a given probability. To account for such failure probabilities, the previously developed facility interception model is extended. Results show that service station failures have a minimal impact on the performance following robust placement while road and road junction failures have larger impacts which are not mitigated easily by robust placement.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"134 18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132392943","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":"Toward providing guidance for procedure design: Formal definitions of procedure characteristics","authors":"D. Surabattula, S. Landry","doi":"10.1109/ISRCS.2011.6016079","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016079","url":null,"abstract":"A framework has been developed that is focused on providing guidance for the design of procedures and checklists. The framework identifies characteristics of the procedure and environment that could influence procedure following behavior, and formal definitions of those factors are introduced. In addition, tradeoffs between the factors that can be controlled by procedure designers are described. This framework, along with the formal definitions, should help enable provide more concrete guidance for researchers and practitioners concerning the design of procedures for human-machine systems.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132765643","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}