Zobrazeno 1 - 10
of 93
pro vyhledávání: '"mohammadreza davoodi"'
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 158, Iss , Pp 109905- (2024)
The Virtual Power Plant (VPP) is a promising solution to power systems' challenges. However, its energy management system (EMS) faces challenges due to centralized Big-Data analysis, i.e., complexity and high computational cost. Decentralized strateg
Externí odkaz:
https://doaj.org/article/55b949225944447a847172b615998bb4
Publikováno v:
IET Control Theory & Applications, Vol 17, Iss 18, Pp 2506-2518 (2023)
Abstract Here, an adaptive radial basis function (RBF) neural network (NN) backstepping controller is proposed for a class of input‐constrained flexible joint robotic manipulators represented by strict‐feedback form with unknown terms, external s
Externí odkaz:
https://doaj.org/article/8ccf7b6a67cf44e6852a84e147df05ec
Minimizing Voltage Ripple of a DC Microgrid via a Particle-Swarm-Optimization-Based Fuzzy Controller
Publikováno v:
Algorithms, Vol 17, Iss 4, p 140 (2024)
DC microgrids play a crucial role in both industrial and residential applications. This study focuses on minimizing output voltage ripple in a DC microgrid, including power supply resources, a stochastic load, a ballast load, and a stabilizer. The so
Externí odkaz:
https://doaj.org/article/16db2c766f254e42a165f8382ebc468e
Publikováno v:
Energies, Vol 17, Iss 3, p 619 (2024)
Virtual power plants (VPPs) are susceptible to cyber anomalies due to their extensive communication layer. FL-trust, an improved federated learning (FL) approach, has been recently introduced as a mitigation system for cyber-attacks. However, current
Externí odkaz:
https://doaj.org/article/41cc3424918342629dcce178977d9794
Publikováno v:
Computation, Vol 11, Iss 11, p 214 (2023)
Conventional evolutionary optimization techniques often struggle with finding global optima, getting stuck in local optima instead, and can be sensitive to initial conditions and parameter settings. Efficient Distributed Generation (DG) allocation in
Externí odkaz:
https://doaj.org/article/9d0f5e7b9c8c493e88056e55580d2694
Publikováno v:
IEEE Access, Vol 10, Pp 67305-67315 (2022)
The partial-update Kalman filter (PKF) is an extension of the Schmidt Kalman filter, which can improve the capabilities of the conventional extended Kalman filter for handling model uncertainties and nonlinearities. Herein, we adapt the PKF to estima
Externí odkaz:
https://doaj.org/article/1e3af227f61746a2aa2e4f483c4e5acd
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
In this paper, we present a novel means of control design for probabilistic movement primitives (ProMPs). Our proposed approach makes use of control barrier functions and control Lyapunov functions defined by a ProMP distribution. Thus, a robot may m
Externí odkaz:
https://doaj.org/article/ad5e292f2cb54872b2c7bf464b65d45e
Publikováno v:
Sensors, Vol 20, Iss 23, p 6896 (2020)
The use of deep neural networks (DNNs) in plant phenotyping has recently received considerable attention. By using DNNs, valuable insights into plant traits can be readily achieved. While these networks have made considerable advances in plant phenot
Externí odkaz:
https://doaj.org/article/01e8ca5d92f644eebc43b940259498ff
Publikováno v:
مجله مدل سازی در مهندسی, Vol 14, Iss 44, Pp 49-67 (2016)
Effect of soil-structure interaction (SSI) and site condition on elastic and inelastic seismic demands of structure is investigated in this research. More emphasis is on Effect of soil-structure interaction and site condition is assessed by using ear
Externí odkaz:
https://doaj.org/article/ca03fd46c4a943ee9f584fbfb0bd16a7
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