Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Seyed Mehdi Abedi Pahnehkolaei"'
Publikováno v:
Fractal and Fractional, Vol 8, Iss 8, p 481 (2024)
Descriptor systems are more complex than normal systems, which are modeled by differential equations. This paper derives stability and stabilization criteria for uncertain fractional descriptor systems with neutral-type delay. Through the Lyapunov–
Externí odkaz:
https://doaj.org/article/d2ce670109264b7ea65d2b28a8b53f8f
Publikováno v:
IEEE Systems Journal. 16:2355-2366
This article studies robust inverse optimal control design for cooperative control of uncertain linear multiagent systems (MASs) on directed graph. While designing optimal cooperative control solutions are desired and have been widely considered, ign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff850ab4752691e11bfc408c5ca109b6
https://doi.org/10.1109/jsyst.2021.3085346
https://doi.org/10.1109/jsyst.2021.3085346
Publikováno v:
Nonlinear Dynamics. 108:293-313
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04c30c04bb61bf89ede30c3be96533e5
https://doi.org/10.1007/s11071-022-07203-1
https://doi.org/10.1007/s11071-022-07203-1
Compound FAT-Based Learning Control of Uncertain Fractional-Order Nonlinear Systems With Disturbance
Publikováno v:
IEEE Control Systems Letters. 6:1519-1524
This letter studies a function approximation technique (FAT)-based fractional-order (FO) backstepping compound learning control for uncertain FO strict-feedback nonlinear systems with unknown external disturbance. A FAT-based learning is used to appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1d1e8e349d926828cd063ff67f7f7fa
https://doi.org/10.1109/lcsys.2021.3119635
https://doi.org/10.1109/lcsys.2021.3119635
Publikováno v:
Nonlinear Dynamics. 106:725-743
This paper addresses the area of particle swarm optimization (PSO) algorithms and, in particular, investigates the dynamics of the complex-order PSO (COPSO). The core of the COPSO adopts the concepts of complex derivative and conjugate order differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21761b4066063407a2bbeee82bc96ff9
https://doi.org/10.1007/s11071-021-06862-w
https://doi.org/10.1007/s11071-021-06862-w
Publikováno v:
Applied Mathematics and Computation. 359:278-293
This paper studies the stability of fractional order (FO) continuous-time quaternion-valued Leaky Integrator Echo State Neural Networks (NN). The delay independent robust stability of NN with QUAD vector field activation functions under time varying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7a78f9a29da0c8c4ce8da15b3bcc261
https://doi.org/10.1016/j.amc.2019.04.083
https://doi.org/10.1016/j.amc.2019.04.083
Publikováno v:
IET Power Electronics. 12:2170-2178
This article studies the design and implementation of multi-objective predictive control (MO-PC) of a grid-connected seven-level packed U-cell (PUC7) inverter for minimising the line current total harmonic distortion (THD) and capacitor voltage error
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ec3a15ddb397f0a9d16e069407cce73
https://doi.org/10.1049/iet-pel.2018.5496
https://doi.org/10.1049/iet-pel.2018.5496
Publikováno v:
Neurocomputing. 331:388-402
This paper studies the stability problem of fractional order continuous-time Quaternion-Valued Leaky Integrator Echo State Neural Networks (NN) with multiple time-varying delays. The NN is decomposed into four real-valued systems without considering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a5820c7d8dedb6c59388bbd7e92bf1b
https://doi.org/10.1016/j.neucom.2018.11.021
https://doi.org/10.1016/j.neucom.2018.11.021
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
In this paper, the generalization of the Particle Swarm Optimization (PSO) algorithm is proposed. The new algorithm involves the adoption of complex-order derivatives (CD). Since the CD produce complex-valued results, conjugate pairs of CD are consid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17712f7bde7c74f29e22870e1b6593ff
https://hdl.handle.net/10400.22/18620
https://hdl.handle.net/10400.22/18620
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
This paper presents a comprehensive study of the Particle Swarm Optimization (PSO) algorithm, called complex-order PSO (CPSO). In the core of new set of algorithms, we employ the complex-order derivative and the conjugate order differential concepts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06daeece59ec0baa32df019ea9e336bd
https://hdl.handle.net/10400.22/18635
https://hdl.handle.net/10400.22/18635