Watkins, “Robust and Reduced-Order H-infinity Filtering via LMI Approach and its Application to Fault Detection,” Book Chapter 19 in In-Tech, edited by W. Watkins, “A New Approach for Robust and Reduced-Order H-infinity Filtering,” Proc. Watkins, “A New Approach for Robust and Reduced-Order Fault Detection Filter Design,” Proc. Kim, “Work in Progress-Programs for Recruitment and Retention of STEM Majors,” Proc. ![]() 6th Int’l Symposium on Resilient Control Systems (ISRCS 2013), San Francisco, USA, Aug. Kim, “Mixed H_/H-infinity Fault Detection Filter Design based on Probabilistic Robustness,” Proc. 2013 Annual Vibration Institute Training Conf. Kim, Kyle Stokes, Yixuan Chi, “Digital Tachometer with Use of Dragon Board-12,” Proc. 2013 Annual Vibration Institute Training Conf., Jacksonville, FL, USA, June 19-21, 2013. Kim, Yixuan Chi, “Pole Placement Technique for Wind Turbine,” Proc. ![]() Control, Automation, and Systems (ICCAS 2013), Gwangju, South Korea, Oct. Kim, “Probabilistically Robust Model Predictive Control,” Proc. Kim, “Comparison of Subspace-based System Identification Techniques,” Proc. 2013 IEEE 56th Int’l Midwest Symposium on Circuit and Systems (MWSCAS 13), pp. Kim, “Predictor-based System Identification under Noise,” Proc. ![]() Kim, “Identification of Unstable System using LQG Controller,” Proc. ASME 2014 Int’l Mechanical Engineering Congress and Exposition (IMECE2014), Nov. Kim, “LQG Controller Design for Identified Wind Turbine Systems,” Proc. Kim, “Threshold Selector for Fault Detection on Closed-loop Predictor-based Recursive System Identification,” Proc. Kim, “Subspace-based Fault Detection – Multiplicative and Additive Fault,” Proc. Kim, “Robust Fault-Tolerant Control of Wind Turbine Benchmark Model,” Proc. ASME 2016 Int’l Mechanical Engineering Congress and Exposition (IMECE2016), Nov. Kim, “Fault Sensitivity Analysis of Data Feedback Control Design based on Multiobjective Optimization,” Proc. Kim, “Predictor-based System Identification in Closed-loop under Noise,” Int’l J.Modelling, Identification, and Control, Vol. System Control and Information Processing, Vol. ![]() Kim, “Data-driven Modeling, Control, and Fault Detection of Wind Turbine Systems,” Int’l J. Systems, Control, and Communications, Vol. Kim, “Array Algorithm for Recursive Identification of Wind Turbine Benchmark Model,” Int’l J. Kim, “Threshold Selector for Fault Detection on Closed-loop Predictor-based Recursive System Identification,” Int’l J. Kim, “Robust Data-Driven H-infinity Control for Wind Turbine,” J. His research interests include machine learning, system identification, robust control, fault detection, and its application to wind turbines. Kim joined the School of Engineering at Liberty University as an associate professor in electrical engineering. After teaching electrical and computer engineering at several universities as an assistant professor, Dr. Kim has held several engineering positions in the automotive and consumer electronics industries as a research engineer, quality controller, and R&D director. Young-Man Kim is an associate professor in the School of Engineering at Liberty University.ĭr. Associate Professor, Computer Engineering Educationĭr.
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