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                                  控制系學術報告: Optimal Adaptive Control of Networked Control Systems
                                  時間:2013-05-20 來源:綜合辦 編輯:zhbgs 訪問次數:912

                                  報告人:Prof. Jagannathan Sarangapani
                                  Missouri University Of Science And Technology

                                  報告時間:5月24日 星期五 上午10:00

                                  A cyber-physical system (CPS) is a system with a tight combination of, and coordination between, the system’s computational and physical elements. Today, cyber-physical systems can be found in areas as diverse as energy or smart grid, civil infrastructure, healthcare, manufacturing, transportation, entertainment, and consumer appliances. A CPS is typically designed as a network of interacting elements with physical input and output instead of standalone devices.
                                  Such complex networked dynamic systems occurring in many disciplines share similar characteristics: their dynamics are nonlinear; contain deterministic and stochastic terms, spatial and temporal characteristics with interdependent entities; they may comprise of numerous components but their sum effect is not just an aggregation of individual outputs; their interactions can help accomplish a larger goal through synergies that emerge. Novel mathematical models and analyses tools are necessary to represent and understand the behavior of such systems.
                                  In this seminar, we study a simplified yet accurate representation of a cyber-physical system as a network controlled system (NCS). The physical system will be modeled as either an uncertain linear or a nonlinear system incorporating the effects of communication network (or wireless sensor network) imperfections such as network delays and packet losses. The performance of such a NCS will be studied by using a novel adaptive optimal control and event triggered controller designs.  Subsequently, a novel cross-layer network scheduling protocol design will be introduced.

                                  Dr. Jagannathan Sarangapani (or S. Jagannathan) is at the Missouri University of Science and Technology (former University of Missouri-Rolla) where he is at present a Rutledge-Emerson Distinguished Professor and Site Director for the NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems.  He has a joint appointment with the Dept of Computer Science and the Dept. of Engineering Management and Systems Engineering. He has coauthored around 110 peer reviewed journal articles many in various IEEE Transactions with his students, around 210 refereed IEEE conference articles, several book chapters and three books. He holds 20 patents with several pending. He so far supervised the completion of 17 doctoral students and 28 M.S. students. His research funding is in excess of $13 million dollars from NSF, NASA, AFRL, Sandia and industries such as Boeing, Caterpillar, Honeywell and others. His research interests include adaptive and neural network control, networked control systems and sensor networks, prognostics, and autonomous systems/robotics.  He is serving as the co-editor for the IET Book series on Control. He received NSF Career Award, Caterpillar Research Excellence Award, Boeing Pride Achievement Award and many others. He served and is serving on a number of IEEE Conference Organizing Committees.