Results 71 to 80 of about 106 (92)
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Reduction of nonlinear models using balancing of empirical gramians and Galerkin projections
Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334), 2000Nonlinear model predictive control has become increasingly popular in the chemical process industry. However, computational requirements grow with the complexity of the models. Many rigorous dynamic models require too much computation time to be useful for real-time model based controllers. This presents a need for model reduction techniques.
Juergen Hahn, Thomas F. Edgar
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2015 54th IEEE Conference on Decision and Control (CDC), 2015
We provide a rank condition for weak observability by defining a modified empirical observability Gramian that explicitly incorporates system control. Based on this rank condition, we derive an upper bound on the local unobservability index of the system that guarantees weak observability. We also show a connection between the Fisher information matrix
Nathan D. Powel, Kristi A. Morgansen
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We provide a rank condition for weak observability by defining a modified empirical observability Gramian that explicitly incorporates system control. Based on this rank condition, we derive an upper bound on the local unobservability index of the system that guarantees weak observability. We also show a connection between the Fisher information matrix
Nathan D. Powel, Kristi A. Morgansen
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IEEE Conference on Decision and Control and European Control Conference, 2011
This paper deals with the estimation of a gramian-based interaction measure from logged process data, and thereby removing the need of creating parametric models prior to the selection of the significant input-output interconnections. Moreover, the resulting confidence regions of the estimates can be used to perform a robust control structure selection.
Miguel Castano Arranz +2 more
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This paper deals with the estimation of a gramian-based interaction measure from logged process data, and thereby removing the need of creating parametric models prior to the selection of the significant input-output interconnections. Moreover, the resulting confidence regions of the estimates can be used to perform a robust control structure selection.
Miguel Castano Arranz +2 more
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Optimal Sensor Location for Nonlinear Dynamic Systems via Empirical Gramians
IFAC Postprint Volumes IPPV / International Federation of Automatic Control, 2004Abstract This paper presents a new approach for determining sensor locations for nonlinear dynamic systems. The method uses empirical observability gramians for obsetvability analysis and combines the information from this investigation with observability measures which have been previously proposed in the literature.
Abhay K. Singh, Juergeo Hahn
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Nonlinear Dynamic Power System Model Reduction Analysis Using Balanced Empirical Gramian
Applied Mechanics and Materials, 2013This paper presents an empirical Gramian balanced reduction method which efficiently solves nonlinear power system model reduction problems. This method projects the nonlinear power system dynamic model to a lower dimension subspace and the reduced model can retain the original nonlinear system input and output dynamic behaviors.
Hong Shan Zhao, Ning Xue, Ning Shi
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2008 9th International Conference on Solid-State and Integrated-Circuit Technology, 2008
In this paper, an empirical truncated balanced realization (TBR) approach is introduced to reduce the model order of non-quasi-static (NQS) effects in MOSFETs. In the PSP model (an industrial standard in compact modeling of MOSFETs), a simple spline-collocation (SC) approach is most commonly used to compute NQS.
null Shijing Yao +2 more
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In this paper, an empirical truncated balanced realization (TBR) approach is introduced to reduce the model order of non-quasi-static (NQS) effects in MOSFETs. In the PSP model (an industrial standard in compact modeling of MOSFETs), a simple spline-collocation (SC) approach is most commonly used to compute NQS.
null Shijing Yao +2 more
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Empirical Gramian Based Controllability of Alternans in a Cardiac Map Model
2021 Computing in Cardiology (CinC), 2021Laura M. Muñoz +2 more
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An Empirical Observability Gramian based Binary Search Algorithm for State Estimation in Microgrid
2022 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE), 2022Mohd Aquib +2 more
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On Spectral Decomposition of States and Gramians of Bilinear Dynamical Systems
Mathematics, 2021Alexey Iskakov, Igor Yadykin
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Frequency Interval Cross Gramians for Linear and Bilinear Systems
Asian Journal of Control, 2017VÍCTOR Sreeram +2 more
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