Uncertainty Representation and Interpretation in Model-Based Prognostics Algorithms Based on Kalman Filter Estimation This article discusses several aspects of uncertainty representation and management for model-based prognostics methodologies based on our experience with Kalman Filters when applied to prognostics for electronics components. In particular, it explores the . Resilient Control in Cyber-Physical Systems: Countering Uncertainty, Constraints, and Adversarial Behavior Sean Weerakkody, Carnegie Mellon University, USA, [email protected] Omur Ozel, George Washington University, USA, [email protected] Yilin Mo, Tsinghua University, China, [email protected] Bruno Sinopoli, Carnegie Mellon University, USA, [email protected] Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management, CDRM 9, contains peer-reviewed papers that build upon recent significant advances in the quantification, mitigation, and management of risk and uncertainty. These papers focus on decision making and multi-disciplinary developments to address the demands and. System Modeling 27 Modeling Concepts 27 State Space Models 34 State Estimation Control Using Estimated State Kalman Filtering A General Controller Structure Modeling Uncertainty Stability in the Presence of Uncertainty

In software development, effort estimation is the process of predicting the most realistic amount of effort (expressed in terms of person-hours or money) required to develop or maintain software based on incomplete, uncertain and noisy input. Effort estimates may be used as input to project plans, iteration plans, budgets, investment analyses, pricing processes and bidding rounds. This book focuses on several key aspects of nonlinear systems including dynamic modeling, state estimation, and stability analysis. It is intended to provide a wide range of readers in applied mathematics and various engineering disciplines an excellent survey of recent studies of nonlinear systems. With its thirteen chapters, the book brings together important contributions from . The Modeling of Uncertainty in Control Systems. The Modeling of Uncertainty in Part II Technical Papers. First Online: 22 June Downloads; Part of the Lecture Notes in Control and Information Sciences book series Asymptotic properties of the maximum likelihood estimate of an unknown parameter of a discrete. This paper investigates the velocity and altitude tracking control problem for air-breathing hypersonic vehicle (AHV) in the presence of external disturbances and parameter uncertainties. A composi.

Distribution network state estimation provided complete and reliable information for the distribution management system (DMS) and was a prerequisite for other advanced management and control applications in the power distribution network. This paper first introduced the basic principles of the state estimation algorithm and sorted out the research status of the distribution network state. Zoonotic sleeping sickness, or HAT (Human African Trypanosomiasis), caused by infection with Trypanosoma brucei rhodesiense, is an under-reported and neglected tropical disease. Previous assessments of the disease burden expressed as Disability-Adjusted Life Years (DALYs) for this infection have not distinguished T.b. rhodesiense from infection with the related, but clinically distinct.