کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4946626 1439410 2017 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Adaptive near-optimal neuro controller for continuous-time nonaffine nonlinear systems with constrained input
ترجمه فارسی عنوان
کنترل کننده نورپردازی نزدیک به مطلوب برای سیستم های غیر خطی مستمر با زمان ورودی محدود
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
In this paper, an identifier-critic structure is introduced to find an online near-optimal controller for continuous-time nonaffine nonlinear systems having saturated control signal. By employing two Neural Networks (NNs), the solution of Hamilton-Jacobi-Bellman (HJB) equation associated with the cost function is derived without requiring a priori knowledge about system dynamics. Weights of the identifier and critic NNs are tuned online and simultaneously such that unknown terms are approximated accurately and the control signal is kept between the saturation bounds. The convergence of NNs' weights, identification error, and system states is guaranteed using Lyapunov's direct method. Finally, simulation results are performed on two nonlinear systems to confirm the effectiveness of the proposed control strategy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 93, September 2017, Pages 195-204
نویسندگان
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