{"title":"Anomaly detection for resilient control systems using fuzzy-neural data fusion engine","authors":"O. Linda, M. Manic, T. McJunkin","doi":"10.1109/ISRCS.2011.6016085","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016085","url":null,"abstract":"Resilient control systems in critical infrastructures require increased cyber-security and state-awareness. One of the necessary conditions for achieving the desired high level of resiliency is timely reporting and understanding of the status and behavioral trends of the control system. This paper describes the design and development of a fuzzy-neural data fusion system for increased state-awareness of resilient control systems. The proposed system consists of a dedicated data fusion engine for each component of the control system. Each data fusion engine implements three-layered alarm system consisting of: 1) conventional threshold-based alarms, 2) anomalous behavior detector using self-organizing maps, and 3) prediction error based alarms using neural network based signal forecasting. The proposed system was integrated with a model of the Idaho National Laboratory Hytest facility, which is a testing facility for hybrid energy systems. Experimental results demonstrate that the implemented data fusion system provides timely plant performance monitoring and cyber-state reporting.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"1 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":"130652953","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":"Correction of erroneously-trained adaptive neural networks","authors":"R. Khosravani","doi":"10.1109/ISRCS.2011.6016086","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016086","url":null,"abstract":"Applications of adaptive neural network models, i.e. models that are updated while they are used, are becoming more widespread. Adjustments to an adaptive model are based on a feedback which is collected while the model is in operation. While changing model parameters in production can improve the performance, itcomes with inherent risks. In particular, any erroneous adjustment to an online model may reduce the performanceand be detrimental to control applications and costly to the business. At the same time, mistakes in feedback are sometimes unavoidable. Therefore, an adaptively trained model with old data is sub-optimal unless the new revisions are taken into account. In this paper, we investigate the effect of a faulty feedback on the performance of an e-commerce customer identification neural network model. We first investigate the impact of feedback error on an adaptive model's performance. We then examine a technique to undo the incorrect adjustments to the model by re-training the adaptive model by a corrected feedback. Our results showthe majority of lossinmodel performance due to the feedback error is recoveredby re-training the adaptive model with the new corrected data.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"48 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":"129257792","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":"Distributed multi-agent microgrids: a decentralized approach to resilient power system self-healing","authors":"C. Colson, M. H. Nehrir, R. Gunderson","doi":"10.1109/ISRCS.2011.6016094","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016094","url":null,"abstract":"The predominance of recent self-healing power system research has been directed towards centralized command and control functions. In this paper, a decentralized multi-agent control method for distributed microgrids is introduced. Given the complexity of a large power system spanning hundreds of miles and comprised of numerous microgrids, it is potentially unrealistic to expect that centralizing total system control functions is feasible. Therefore, the authors are particularly interested in dispersing decision-making by utilizing smart microgrid control agents that cooperate during normal and emergency situations. The combination of microgrids and agent-based control can improve power system resiliency. The method described herein lays the groundwork for a comprehensive microgrid control architecture that strikes a balance between the multiple intra-microgrid objectives defined by local operator and the situational demands of the microgrid collective as part of the power system. In this way, both self-interest and cooperation can arise, allowing microgrid agents to successfully transition from normal operations to an emergency condition and back again when conditions have resolved, independent of a central supervisor. The decentralized multi-agent methods for microgrids explored in this paper help to support what may be an enabling technology of future smart grids.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"12 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":"133670375","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 reference architecture approach to ICS security","authors":"F. Cohen","doi":"10.1109/ISRCS.2011.6016082","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016082","url":null,"abstract":"This paper describes the potential for use of a reference architecture for industrial control system (ICS) security as a method for moving toward improved protection through better decision-making","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"27 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":"115240463","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":"Remote output feedback stabilization for fractional-order systems via communication networks","authors":"Xiaona Song, I. Tejado, Y. Chen","doi":"10.1109/ISRCS.2011.6016088","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016088","url":null,"abstract":"In this study, the problem of remote output feedback stabilization for fractional-order (FO) systems with input time-varying delay via communication networks is investigated. The order of the FO system denoted by α considered in this paper is in the range of 0 to 2. Additionally, the network induced time-varying delay is considered as being generated by a known FO dynamic system. We design static output feedback and dynamic output feedback controller, respectively, and show how the delay dynamics can be explicitly incorporated into the Networked Control System controller design. The basic idea is to use linear matrix inequality and receding horizon control framework. We use the receding horizon method to design a stabilizing control law that sets the poles of the closed-loop system. The proposed control law explicitly takes into account an estimation of the delay dynamics. Finally, numerical examples are offered to demonstrate the effectiveness of the proposed method.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"17 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":"125081760","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":"Performance of soft-switched DC-DC resonant converter for Electrolyzer","authors":"P. Chandrasekhar, S. Rama Reddy","doi":"10.1109/ISRCS.2011.6016096","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016096","url":null,"abstract":"Electrolyzer produces hydrogen and oxygen from off-peak electricity generated by the renewable energy sources (wind turbine and photovoltaic array), for later use in the fuel cell to produce on-peak electricity. A power conditioning system, usually a DC-DC converter is required to couple the Electrolyzer to the system bus. This paper presents the design of three soft-switched high-frequency transformer isolated dc-to-dc resonant converters for this application based on the given specifications. Due to the wide variation in input voltage and load current, no converter can maintain zero-voltage switching for the complete operating range. Based on an extensive comparison of all the selected converters, LLC resonant converter will be studied in the future.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"15 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":"116581758","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":"High-quality integration of fuel cells energy into electric grids","authors":"A. Mohamed, M. Elshaer, O. Mohammed","doi":"10.1109/ISRCS.2011.6016095","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016095","url":null,"abstract":"This paper investigates different converter topologies, and their control, that can be used as an interface between fuel cells and the DC bus in a power system. As an example, the integration of fuel cells energy to the DC bus in a DC zonal electric distribution system (DC ZEDS) will be focused on. The DC ZEDS example is reasonable as high-quality power supply is interesting the most for the US navy. Among the two topologies presented, one is new and its performance is compared to that of the conventional boost converter. The proposed topology utilizes a modified boost converter to enhance the integration of sustainable energy sources into the system. It gives continuous output current and some other advantages over the conventional one. However, it is more complex. A comparative study of the techniques presented in this paper will be conducted from performance as well as cost points of view. A prototype system has been designed and simulated in MATLAB/SIMULINK to validate the proposed technique. Moreover, it has been examined experimentally to verify the results and conclusions deduced out of the study. Both simulation and experimental results show the effectiveness of the proposed technique and its validity as a DC-DC converter for fuel cells integration to DC ZEDS and its outperformance over conventional DC-DC boost converters.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"107 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":"134464322","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}
H. Garcia, Naman Jhamaria, Heng Kuang, Wen-Chiao Lin, S. Meerkov
{"title":"Resilient monitoring system: Design and performance analysis","authors":"H. Garcia, Naman Jhamaria, Heng Kuang, Wen-Chiao Lin, S. Meerkov","doi":"10.1109/ISRCS.2011.6016090","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016090","url":null,"abstract":"This paper is devoted to the design and performance analysis of an autonomous decentralized monitoring system that degrades gracefully under natural or malicious sensor malfunctioning. In the scenario considered, the sensors are characterized by a quantity referred to as data quality, and a method for estimating process variables, based on sensor measurements and data quality, is developed. Using these estimates, the plant status assessment is carried out, and the entropy of the resulting probability mass function, augmented by symmetrized relative entropy of sensor measurements, is used to drive the socalled rational controllers, which force the monitoring system to operate in the optimal state. Along with analytical results, the paper presents numerical examples, which illustrate the efficacy of the resulting resilient monitoring system, using a metric based on the Kullbeck-Liebler divergence.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"16 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":"132207868","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 control for linear systems in the presence of environmental and channel noise","authors":"S. Biswas, Q. Dong, Li Bai","doi":"10.1109/ISRCS.2011.6016103","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016103","url":null,"abstract":"This paper uses multi-agent concepts for the development of a decentralized control law for networked large scale systems in the presence of environmental noise and communication channel noise. The subsystems are assumed to be linear time invariant with Gaussian white noise appearing as an exogenous input. Each subsystem receives output information of other subsystems through the communication channel, which is then used to synthesize the control. The communication channel is also assumed to corrupt the signal with additive Gaussian White noise. Using the Lyapunov's approach, we develop a consensus protocol so that the various subsystems arrive at a weak consensus in the sense that the leader-follower state error remains within a small neighborhood of the origin. Simulation results are presented to illustrate the method.","PeriodicalId":336336,"journal":{"name":"2011 4th International Symposium on Resilient Control Systems","volume":"269-270 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":"124011483","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 agile control of ship auxiliary systems","authors":"K. Schultz","doi":"10.1109/ISRCS.2011.6016108","DOIUrl":"https://doi.org/10.1109/ISRCS.2011.6016108","url":null,"abstract":"An agile control system is a set of distributed controllers designed for the management of complex, interconnected systems that are able to change their structure in response to faults and damage events. Structural changes include dynamic reconfiguration of communication, agent scoping, and control algorithms.We propose that information theory will be a valuable tool in the design and analysis of such a controller, in that the information-theoretic characteristics of the system affect the utility of the information gathered and processed in the course of generating a control strategy. In particular, the rate at which the information content of a prior observation becomes irrelevant to the current state of the system is studied, called entropic drag. This paper summarizes recent work by researchers at the Johns Hopkins University Applied Physics Lab into components of an agile controller for ship auxiliary systems.","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":"121594287","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}