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Showing 1 to 8 of 8 for “"large-scale dynamical systems"”.
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Fault Detection and Identification of Large-scale Dynamical Systems
A single fault in a large-scale industrial system without a proper process monitoring tool may propagate into a disastrous accident. In the field of process control, the model predictive control (MPC) is being widely applied in industry where high-quality dynamical models need to be developed for …
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On the application of numerical continuation to large-scale dynamical systems
The system approach in dealing with large groups of components with nonlinear interactions has received constantly growing attention in recent years in wide variety of applications from system biology to the size evolution of aerosol particles. These systems exhibit complex behaviors that are not …
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Iterative Rational Krylov Algorithm for Unstable Dynamical Systems and Genaralized Coprime Factorizations
Generally, large-scale dynamical systems pose tremendous computational difficulties when applied in numerical simulations. In order to overcome these challenges we use several model reduction techniques. For stable linear models these techniques work very well and provide good approximations for …
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Determining the likelihood of un-controllability in large scale systems
Large-scale dynamical systems are of interest due to their broad applications in various areas, such as physiological systems, gene networks, large-scale energy systems, robot motions, multiple space air, and buildings. In such systems there are a large number of interconnected systems whose …
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Model and Data Reduction for Control, Identification and Compressed Sensing
… in design, optimization and control of complex, large-scale dynamical systems from different viewpoints. The goal is to develop new algorithms and methods, that solve real problems more efficiently, together with providing mathematical insight into the success of those methods. There are three …
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Finite Horizon Optimality and Operator Splitting in Model Reduction of Large-Scale Dynamical System
Simulation, design, and control of dynamical systems play an important role in numerous scientific and industrial tasks. The need for detailed models leads to large-scale dynamical systems, posing tremendous computational difficulties when employed in numerical simulations. In order to overcome …
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An interpolation-based approach to the weighted H2 model reduction problem
Dynamical systems and their numerical simulation are very important for investigating physical and technical problems. The more accuracy is desired, the more equations are needed to reach the desired level of accuracy. This leads to large-scale dynamical systems. The problem is that computations …
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Inexact Solves in Interpolatory Model Reduction
Dynamical systems are mathematical models characterized by a set of differential or difference equations. Due to the increasing demand for more accuracy, the number of equations involved may reach the order of thousands and even millions. With so many equations, it often becomes computationally …