𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Data Structures of Models in System Identification

✍ Scribed by Yankov K.


Tongue
English
Leaves
12
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


Int. Conference on Information Technologies (InfoTech-2013). St. Constantine and Elena resort, Bulgaria,sept.19-20, 2013, pp.312-319
In this work a data structures that present the models used in system identification of experimental data are described.The data structure isan extension of Object Pascal. Basic structures are organized in classes according to the requirements of object-oriented programming. TSymbolClassis an abstract base class. It is an ancestor of classesTParams, THead_RPNand TDifferential_Item. These classes form the dynamic lists TSymbolTable, TAlgebraicModel and TDifferentialModel, which are the generating elements to introduce models for identification.The extension is used as a data structure in the programKorelia for analysis and identification of dynamics processes.

✦ Subjects


Π˜Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠΊΠ° ΠΈ Π²Ρ‹Ρ‡ΠΈΡΠ»ΠΈΡ‚Π΅Π»ΡŒΠ½Π°Ρ Ρ‚Π΅Ρ…Π½ΠΈΠΊΠ°;ΠžΠ±Ρ‰Π°Ρ тСория систСм (ОВБ)


πŸ“œ SIMILAR VOLUMES


Regularized System Identification Learni
✍ Gianluigi Pillonetto πŸ“‚ Library πŸ“… 2022 πŸ› Springer International Publishing AG 🌐 English

This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learn

Big Mechanisms in Systems Biology. Big D
✍ Bor-Sen Chen, Cheng-Wei Li πŸ“‚ Library πŸ“… 2016 πŸ› Academic Press 🌐 English

<p><i>Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification</i> explains big mechanisms of systems biology by system identification and big data mining methods using models of biological systems. Systems biology is currently undergoing revolutionar

Dynamic Mode Decomposition: Data-Driven
✍ J. Nathan Kutz, Steven L. Brunton, Bingni W. Brunton, Joshua L. Proctor πŸ“‚ Library πŸ“… 2016 πŸ› SIAM-Society for Industrial and Applied Mathematic 🌐 English

Data-driven dynamical systems is a burgeoning fieldβ€”it connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-established methods in dynamical systems theory. This is a critically important new direction because the governing equations of many problems

Nonlinearity in structural dynamics : de
✍ Tomlinson, Geoffrey R.; Worden, K πŸ“‚ Library πŸ“… 2019 πŸ› CRC Press 🌐 English

Many types of engineering structures exhibit nonlinear behavior under real operating conditions. Sometimes the unpredicted nonlinear behavior of a system results in catastrophic failure. In civil engineering, grandstands at sporting events and concerts may be prone to nonlinear oscillations due to l