391 results found.
Year: 2018, Volume: 18, Number: 1
... , diverged classification performances and aimed to develop a knowledge driven stacking methodology using meta-learner robust classifier model. The popular voting based combining may be helpful. The same ... feature model. The application of decision tree or random forest (RF) as robustness of the results, backed by the experimental verification shows that the non-iterative individual ...
Terms matched: 2 - Score: 13 - 7,890k
Year: 2011, Volume: 11, Number: 1
... . DS1104 digital control card. Laboratory tests are conducted The design of simple and robust speed controllers is a using field weakening. To provide generally better induction challenging ... of America, 1995, ISBN 1- technologies named "PRODI – Power plants Robustification 55617-516-7 based on fault Detection and Isolation algorithms" contract [16] B ...
Terms matched: 2 - Score: 13 - 758k
Year: 2024, Volume: 24, Number: 2
... . In response, OTRv4 has been designed to provide ï‚· Encryption- StegaCloak employs robust encryption strong deniability. It was announced at the PoPETs algorithms to secure the ... of the shared secret and the messages. The KDF Chain has the following important robustness of the challenge-response implementation. Each properties: resilience, forward security, and ...
Terms matched: 2 - Score: 13 - 1,304k
Year: 2010, Volume: 10, Issue: 4
... . Both models are developed in MATLAB, applications is shaft-sensorless, providing it is robust to a Simulink toolbox. motor parameter drift and measurement errors and offsets. ... expanded on dynamic regime of the detuned NFO for shaft-sensor, which decreases the drives robustness and scheme. The dynamic model simulation results, around increases its price and ...
Terms matched: 2 - Score: 12 - 2,453k
Year: 2011, Volume: 11, Number: 2
... systems. SMC is one of the effective nonlinear applicability of the proposed method. robust control approaches since it provides system dynamics with an invariance property to uncertainties once ... DC-DC converter failed to accomplish Section II. Section III presents a brief description of robustness under nonlinearity, parameter variation, load designing a nonsingular terminal sliding mode controller ...
Terms matched: 2 - Score: 12 - 522k
Year: 2024, Volume: 24, Number: 1
... representation In recent years, researchers have conducted extensive techniques, giving the model more robust generalization and explorations in false information detection. This section will cross-domain robustness. ... contrast to this approach, our briefly review relevant works in this field, focusing on three study aims to avoid the influence of specific content or application directions: ...
Terms matched: 2 - Score: 12 - 1,515k
Manuscript template V16/20190503 - Do not alter
... , LMI conditions, for designing control scheme based on a disturbance observer is proposed robust controllers in the inner loops, are used; which gains to provide robustness ... model uncertainties, allowing are obtained by means of efficient computational a smooth transition between MG operating modes. In [27] a algorithms. Also, LMI conditions ...
Terms matched: 2 - Score: 12 - 1,447k
Year: 2010, Volume: 10, Number: 4
... adaptive passivity-based controllers are [18]. Therefore, the nonlinear methods such as robust [19], synthesized using the energy shaping and damping injection technique. ... 23]. These methods have been mostly used for comparison of results demonstrates the robustness of the proposed controllers for reference DC voltage and resistive control of induction motors ...
Terms matched: 2 - Score: 12 - 1,002k
Year: 2020, Volume: 20, Number: 1
... The reason for the addition of clone acceleration factor is to provide faster and more robust results. In solution 3 of the algorithm, the temporary clone population was ... . 10, no. 2, pp. 641 – 652, 2010. robustness and superiority will be investigated for different doi:10.1016/j.asoc.2009.08.038 optimization problems ...
Terms matched: 2 - Score: 11 - 464k
Year: 2019, Volume: 19, Number: 4
... of this study used optimization algorithm, LM where these separate is obtaining a simple robust multilayer feed-forward ANN algorithms optimize network weights for the best system model, a ... , training algorithms and validation values should be line load. chosen appropriately considering network robustness and 58 Advances in Electrical and Computer Engineering Volume 19, Number 4, ...
Terms matched: 2 - Score: 11 - 488k