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pro vyhledávání: '"A Lagoa"'
The scenario approach is widely used in robust control system design and chance-constrained optimization, maintaining convexity without requiring assumptions about the probability distribution of uncertain parameters. However, the approach can demand
Externí odkaz:
http://arxiv.org/abs/2411.07361
This paper presents a tool for multi-step system identification that leverages first-order optimization and exact gradient computation. Drawing inspiration from neural network training and Automatic Differentiation (AD), the proposed method computes
Externí odkaz:
http://arxiv.org/abs/2410.03544
Electric power systems with growing penetration of renewable generation face problems of frequency oscillation and increased uncertainty as the operating point may veer close to instability. Traditionally the stability of these systems is studied eit
Externí odkaz:
http://arxiv.org/abs/2408.00916
In this paper, we propose a unified framework for identifying interpretable nonlinear dynamical models that preserve physical properties. The proposed approach integrates physical principles with black-box basis functions to compensate for unmodeled
Externí odkaz:
http://arxiv.org/abs/2405.18186
The aim of this paper is to present a novel physics-based framework for the identification of dynamical systems, in which the physical and structural insights are reflected directly into a backpropagation-based learning algorithm. The main result is
Externí odkaz:
http://arxiv.org/abs/2310.20567
Autor:
Aldar Ferrera-Lagoa
Publikováno v:
Revista Española de Lingüística, Vol 54, Iss 2, Pp 9-62 (2024)
En este trabajo se analizan las diferentes construcciones con se en español (anticausativas, antipasivas, pasivas reflejas, impersonales, reflexivas, recíprocas, oraciones con se aspectual y oraciones con verbos inherentemente pronominales). Las he
Externí odkaz:
https://doaj.org/article/dce1a8836b0b4896bc36b5afa4045b59
Autor:
Sleem, Omar M., Lagoa, Constantino M.
Quantization is the process of mapping an input signal from an infinite continuous set to a countable set with a finite number of elements. It is a non-linear irreversible process, which makes the traditional methods of system identification no longe
Externí odkaz:
http://arxiv.org/abs/2301.12043
Sparsity finds applications in areas as diverse as statistics, machine learning, and signal processing. Computations over sparse structures are less complex compared to their dense counterparts, and their storage consumes less space. This paper propo
Externí odkaz:
http://arxiv.org/abs/2301.12027
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-28 (2024)
Abstract Sparsity finds applications in diverse areas such as statistics, machine learning, and signal processing. Computations over sparse structures are less complex compared to their dense counterparts and need less storage. This paper proposes a
Externí odkaz:
https://doaj.org/article/d1a35b7bfff34e81892fda974729f89c