Nonlinear Flight Control Using Neural Networks
نویسندگان
چکیده
منابع مشابه
Nonlinear Adaptive Flight Control using Neural Networks
Feedback linearization and adaptive neural networks provide a powerful controller architecture. This paper surveys the status of nonlinear, and adaptive flight control, and summarizes the research being conducted in this area in the School of Aerospace Engineering at the Georgia Tech. A description of the controller architecture and associated stability analysis is given, followed by a more in-...
متن کاملDynamic Sliding Mode Control of Nonlinear Systems Using Neural Networks
Dynamic sliding mode control (DSMC) of nonlinear systems using neural networks is proposed. In DSMC the chattering is removed due to the integrator which is placed before the input control signal of the plant. However, in DSMC the augmented system is one dimension bigger than the actual system i.e. the states number of augmented system is more than the actual system and then to control of such ...
متن کاملNonlinear Adaptive Flight Control Using Backstepping and Neural Networks Controller
Anonlinearadaptive ight control system is proposed using a backstepping and neural networks controller. The backstepping controller is used to stabilize all state variables simultaneouslywithout the two-timescale assumption that separates the fast dynamics, involvingthe angularrates of the aircraft, from the slow dynamics,which includes angle of attack, sideslip angle, and bank angle. It is a...
متن کاملrodbar dam slope stability analysis using neural networks
در این تحقیق شبکه عصبی مصنوعی برای پیش بینی مقادیر ضریب اطمینان و فاکتور ایمنی بحرانی سدهای خاکی ناهمگن ضمن در نظر گرفتن تاثیر نیروی اینرسی زلزله ارائه شده است. ورودی های مدل شامل ارتفاع سد و زاویه شیب بالا دست، ضریب زلزله، ارتفاع آب، پارامترهای مقاومتی هسته و پوسته و خروجی های آن شامل ضریب اطمینان می شود. مهمترین پارامتر مورد نظر در تحلیل پایداری شیب، بدست آوردن فاکتور ایمنی است. در این تحقیق ...
Stabilization of Nonlinear Control Systems through Using Zobov’s Theorem and Neural Networks
Zobov’s Theorem is one of the theorems which indicate the conditions for the stability of a nonlinear system with specific attraction region. We have applied neural networks to approximate some functions mentioned in Zobov’s theorem in order to find the controller of a nonlinear controlled system whose law in a mathematical manner is difficult to make. Finally, the effectiveness and the applica...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Guidance, Control, and Dynamics
سال: 1997
ISSN: 0731-5090,1533-3884
DOI: 10.2514/2.4029