Robust Adaptive Control via Neural Linearization and Compensation

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Enhancement of Robust Tracking Performance via Switching Supervisory Adaptive Control

When the process is highly uncertain, even linear minimum phase systems must sacrifice desirable feedback control benefits to avoid an excessive ‘cost of feedback’, while preserving the robust stability. In this paper, the problem of supervisory based switching Quantitative Feedback Theory (QFT) control is proposed for the control of highly uncertain plants. According to this strategy, the unce...

متن کامل

Desired Compensation Adaptive Robust Control

A desired compensation adaptive robust control (DCARC) framework is presented for nonlinear systems having both parametric uncertainties and uncertain nonlinearities. The paper first considers a class of higher order nonlinear systems transformable to a normal form with matched model uncertainties. For this class of uncertain systems, the desired values of all states for tracking a known desire...

متن کامل

Coordinated Control of a Tractor-Trailer and a Combine Harvester by Neural Adaptive Robust Control

In this paper, the coordinated control problem of a tractor-trailer and a combine harvester is taken into account in the presence of model uncertainties by using the leader-following approach to track a reference trajectory for the first time. At first, a second-order leader-follower dynamic model is developed in Euler-Lagrange form which preserves all structural properties of the dynamic model...

متن کامل

Dynamic modeling and control of a 4 DOF robotic finger using adaptive-robust and adaptive-neural controllers

In this research, first, kinematic and dynamic equations of a 4-DOF 3-link robotic finger are derived using Denavit-Hartenberg convention and Lagrange’s formulation. To model the muscles, several springs and dampers are placed between the finger links. Then, two advanced controllers, namely adaptive-robust and adaptive-neural, which can control the robotic finger in presence of parametric uncer...

متن کامل

Adaptive Heave Compensation via Dynamic Neural Networks

This paper discusses the problem of Adaptive heave compensation. A new estimator based on dynamic recurrent neural networks is applied to this problem. It is shown that the new algorithm is well suited for online implementation and has excellent performance. Computational results via extensive simulations are provided to illustrate the effectiveness of the algorithm. A comparative evaluation wi...

متن کامل

ذخیره 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 Control Science and Engineering

سال: 2012

ISSN: 1687-5249,1687-5257

DOI: 10.1155/2012/867178