Parameter and State Estimation of Large-Scale Complex Systems Using Python Tools
نویسندگان
چکیده
منابع مشابه
Large-scale Inversion of Magnetic Data Using Golub-Kahan Bidiagonalization with Truncated Generalized Cross Validation for Regularization Parameter Estimation
In this paper a fast method for large-scale sparse inversion of magnetic data is considered. The L1-norm stabilizer is used to generate models with sharp and distinct interfaces. To deal with the non-linearity introduced by the L1-norm, a model-space iteratively reweighted least squares algorithm is used. The original model matrix is factorized using the Golub-Kahan bidiagonalization that proje...
متن کاملParameter and state estimation of experimental chaotic systems using synchronization.
We examine the use of synchronization as a mechanism for extracting parameter and state information from experimental systems. We focus on important aspects of this problem that have received little attention previously and we explore them using experiments and simulations with the chaotic Colpitts oscillator as an example system. We explore the impact of model imperfection on the ability to ex...
متن کاملMoving-horizon partition-based state estimation of large-scale systems
This report presents three Moving Horizon Estimation (MHE) methods for discrete-time partitioned linear systems, i.e. systems decomposedinto coupled subsystems with non-overlapping states. The MHE approach is used due to its capability of exploiting physical constraints onstates in the estimation process. In the proposed algorithms, each subsystem solves reduced-order MHE problems t...
متن کاملParameter Estimation of Large Scale Systems using Dynamic Data Monitoring: Application to Plume Dispersion Phenomenon
In this research, the effects of data measurement on source parameter estimation are studied. The concept of mutual information is applied to locate the optimal location for each sensor to improve the accuracy of the overall estimation process. For validation purposes, an advection diffusion simulation code, SCIPUFF (Second-order Closure Integrated PUFF) is used as a modeling testbed to study t...
متن کاملState and Parameter Estimation for Nonlinear Systems
A constructive method is proposed for the design of nonlinear adaptive observers with global convergence for recursive joint estimation of states and parameters. It extends an earlier result to systems with a more general parametrization. The considered nonlinear systems are those typically considered for the design of high gain observers with additional terms involving unknown parameters. A nu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Modeling, Identification and Control: A Norwegian Research Bulletin
سال: 2015
ISSN: 0332-7353,1890-1328
DOI: 10.4173/mic.2015.3.6