The control of insect-sized flapping-wing micro air vehicles is attracting increasing interest. Solution of the problem requires construction of a controller that is physically small, extremely power efficient, and capable. In addition, process variation in the creation of very small wings and armatures as well as the potential for accumulating damage and wear over the course of a vehicle's lifetime suggest that controllers be able to self-adapt to the specific and possibly changing nature of the vehicles in which they are embedded. Previous work with Evolvable Hardware Continuous Time Recurrent Neural Networks (CTRNNs) as applied to adaptive control of walking in legged robots suggests that CTRNNs may provide a suitable control solution for flapping-wing micro air vehicles. However, upon complete analysis, it can be seen that perceived similarities between the two problems are somewhat superficial, and that flapping-wing vehicle control requires its own study. This book...
Уважаемая Юлия, здравствуйте, Огромное Вам спасибо за блестяще подготовленные и оформленные доклады и презентации! Вы настоящий профессионал! Читаете без слов мысли и студента, и, самое удивительное, преподавателя (который в данном случае сам плохо знает, что хочет, и постоянно придумывает новые требования и условия Очень здорово сделано и очень интересно. Ещё раз огромное спасибо, в том числе и за срочность!