Fuzzy Model Reference Learning Control

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود 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

Fuzzy Model Reference Learning Control

A “learning system” possesses the capability to improve its performance over time by interaction with its environment. A learning control system is designed so that its “learning controller” has the ability to improve the performance of the closed-loop system by generating command inputs to the plant and utilizing feedback information from the plant. In this brief paper, we introduce a learning...

متن کامل

Direct fuzzy model-reference adaptive control

Intelligent systems may be viewed as a framework for solving the problems of nonlinear system control. The intelligence of the system in the nonlinear or changing environment is used to recognize in which environment the system currently resides and to service it appropriately. This paper presents a general methodology of adaptive control based on multiple models in fuzzy form to deal with plan...

متن کامل

Fuzzy Model Reference Adaptive Control System

– When using the Lyapunov synthesis approach to construct a stable fuzzy control system, one important way is to regard the fuzzy systems as approximators to approximate the unknown functions in the system to be controlled. Concerning the unknownness of the unknown functions, generally there are two cases: a completely unknown case, and a partly unknown case. However, most of the schemes presen...

متن کامل

Model Reference Parametric Adaptive Iterative Learning Control

Abstract: Most of iterative learning control (ILC) methods requires that the relative degree of the plant is less than 2 for a linear system or the plant is passive for a non-linear system. A new model reference parametric adaptive iterative learning control using the command generator tracker (CGT) theory is proposed in this paper. The method can be applied to control a plant with a higher rel...

متن کامل

Actor-Critic Control with Reference Model Learning

We propose a new actor-critic algorithm for reinforcement learning. The algorithm does not use an explicit actor, but learns a reference model which represents a desired behaviour, along which the process is to be controlled by using the inverse of a learned process model. The algorithm uses Local Linear Regression (LLR) to learn approximations of all the functions involved. The online learning...

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 Intelligent and Fuzzy Systems

سال: 1996

ISSN: 1064-1246

DOI: 10.3233/ifs-1996-4103