Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Feng-Hsiag Hsiao"'
Autor:
Feng-Hsiag Hsiao, Shou-Wen Chang
Publikováno v:
IEEE Access, Vol 12, Pp 26308-26323 (2024)
With the advancement of technology, convenient communication fills every part of people’s lives. However, the data may be stolen during the transmission process. Therefore, this study proposes a method based on the Takagi-Sugeno (T-S) fuzzy model u
Externí odkaz:
https://doaj.org/article/0e5e89520cd74f59bb583abe828b360e
Autor:
Feng‐Hsiag Hsiao
Publikováno v:
IET Control Theory & Applications, Vol 17, Iss 10, Pp 1413-1429 (2023)
Abstract This study presents a design methodology for Takagi‐Sugeno (T‐S) fuzzy models‐based secure communications in multiple time‐delay chaotic (MTDC) systems with Rivest cipher 4 (RC4) algorithm. The main advantage of the RC4 algorithm is
Externí odkaz:
https://doaj.org/article/39a0fd6b8d644be8a49597c0d870e2b5
Autor:
Feng-Hsiag Hsiao
Publikováno v:
IEEE Access, Vol 10, Pp 1036-1050 (2022)
The triple data encryption standard (3DES) has played a key role in the field of data encryption over the past few decades. However, the ciphertext’s security is decreased by the meet-in-the-middle attack. Accordingly, we propose a systematic desig
Externí odkaz:
https://doaj.org/article/62b119f4a040491f96af55a8b7a95e9d
Autor:
Feng-Hsiag Hsiao
Publikováno v:
The Scientific World Journal, Vol 2015 (2015)
This paper presents a systematic design methodology for neural-network- (NN-) based secure communications in multiple time-delay chaotic (MTDC) systems with optimal H∞ performance and cryptography. On the basis of the Improved Genetic Algorithm (IG
Externí odkaz:
https://doaj.org/article/41811c71a16d45d0958fdf5d50076f8a
Autor:
Feng-Hsiag Hsiao
Publikováno v:
Abstract and Applied Analysis, Vol 2013 (2013)
This study presents an effective approach to realize the optimal exponential synchronization of multiple time-delay chaotic (MTDC) systems. First, a neural network (NN) model is employed to approximate the MTDC system. Then, a linear differential inc
Externí odkaz:
https://doaj.org/article/2683b7a253d5452ea664eda6e7dbc50b
Autor:
Feng-Hsiag Hsiao
Publikováno v:
Abstract and Applied Analysis, Vol 2013 (2013)
A novel approach is presented to realize the optimal exponential synchronization of nonidentical multiple time-delay chaotic (MTDC) systems via fuzzy control scheme. A neural-network (NN) model is first constructed for the MTDC system. Then, a linear
Externí odkaz:
https://doaj.org/article/b0bf25ef27b3417bb1b855398bcae889
Autor:
Feng‐Hsiag Hsiao
Publikováno v:
Asian Journal of Control. 24:1022-1041
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c5b853b0cea31feea0e3ed5abb9593e
https://doi.org/10.1002/asjc.2740
https://doi.org/10.1002/asjc.2740
Autor:
Feng-Hsiag Hsiao
Publikováno v:
Asian Journal of Control. 22:2183-2205
In this work, we present a methodology of systematic design of an improved genetic algorithm (IGA)‐based secure communication in multiple time‐delay chaotic (MTDC) systems with advanced en...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7faebb6f33827c065387ba74058e8c3
https://doi.org/10.1002/asjc.2293
https://doi.org/10.1002/asjc.2293
Robust H ∞ fuzzy control design for dithered nonlinear large-scale systems with multiple time delays
Autor:
Feng-Hsiag Hsiao
Publikováno v:
Optimal Control Applications and Methods. 40:203-225
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68a47e81c5afb38fba1c4b73bacaf654
https://doi.org/10.1002/oca.2474
https://doi.org/10.1002/oca.2474
Autor:
Feng-Hsiag Hsiao
Publikováno v:
Fuzzy Sets and Systems. 342:109-137
Chaotic synchronization has suffered from demodulating information by hackers via the public channel. Different methods have been developed to hide the contents of a message using chaotic signals. Nevertheless, many studies have shown that most of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6a683037bdaa6756c8aa67504009dff
https://doi.org/10.1016/j.fss.2017.10.016
https://doi.org/10.1016/j.fss.2017.10.016