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Titlebook: Nature-Inspired Computing for Control Systems; Hiram Eredín Ponce Espinosa Book 2016 Springer International Publishing Switzerland 2016 Bi

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樓主: affront
31#
發(fā)表于 2025-3-26 22:26:04 | 只看該作者
Oscar A. Silva,Miguel A. Solis explaining the occurrence of reconstructed surfaces, the formation of interface compounds, the abruptness of some interfaces and the presence of intermixing in others. To this end one has to determine the total electronic energy in the ground state of the system under consideration with the highest
32#
發(fā)表于 2025-3-27 02:57:02 | 只看該作者
The Power of Natural Inspiration in Control Systems,ering to social sciences, has been an attempt to replicate nature. In fact, nature continues to play an important roll in different human activities. From a scientific perspective, nature-inspired methods have proven to be an efficient tool for tackling real-life problems that are difficult to solve
33#
發(fā)表于 2025-3-27 08:51:56 | 只看該作者
34#
發(fā)表于 2025-3-27 11:29:45 | 只看該作者
The Spread of Innovatory Nature Originated Metaheuristics in Robot Swarm Control for Smart Living End has evolved quickly because of the enormous increase in computing power and availability of the improved variety of sensors and actuators. However, design of AAL robots control system is a huge challenge, which require solving issues related to two classes: design of mechanical structure and devel
35#
發(fā)表于 2025-3-27 15:24:48 | 只看該作者
36#
發(fā)表于 2025-3-27 21:42:44 | 只看該作者
Designing Fuzzy Controller for a Class of MIMO Nonlinear Systems Using Hybrid Elite Genetic Algorith) nonlinear system. The principle of the proposed algorithm is to seek the elitism by GA and introduce it in the TS algorithm as initial solution in order to find the best fuzzy rule base of the fuzzy controller. The fuzzy rule base of the fuzzy controller is tuned for optimal control performance us
37#
發(fā)表于 2025-3-27 23:28:11 | 只看該作者
38#
發(fā)表于 2025-3-28 02:34:08 | 只看該作者
Adaptive Neuro-Fuzzy Controller of Induction Machine Drive with Nonlinear Frictione and nonlinear friction. Neuro-fuzzy systems are used to online approximate the uncertain nonlinearities and an adaptive backstepping technique is employed to systematically construct the control law. The proposed adaptive fuzzy controller guarantees the tracking error converge to a small neighborh
39#
發(fā)表于 2025-3-28 10:15:16 | 只看該作者
40#
發(fā)表于 2025-3-28 11:40:26 | 只看該作者
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