Cintia: a neuro-fuzzy real-time controller for low-power embedded systems

نویسندگان

  • Marcello Chiaberge
  • Leonardo Maria Reyneri
چکیده

1 This paper describes CINTIA, a Neuro-Fuzzy real-time controller based on Pulse Stream computation techniques and designed for applications in low power embedded systems. The proposed system mixes two di erent approaches, namely Neuro-Fuzzy Controllers and Finite State Automata. The former are implemented by means of a custom neural chip (manufactured by ES2), while the latter are implemented as sequential code on a traditional microcon-

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Embedded Interval Type-2 Neuro-Fuzzy Controller for Intelligent Navigation of Mobile Robot

This paper describes intelligent navigation using an embedded interval type-2 neuro–fuzzy controller. Weightless neural network (WNNs) strategy is used because fast learning, easy hardware implementation and well suited to microcontroller-based-real-time systems. The WNNs utilizes previous sensor data and analyzes the situation of the current environment and classifies geometric feature such as...

متن کامل

Fast Transient Hybrid Neuro Fuzzy Controller for STATCOM During Unbalanced Voltage Sags

A static synchronous compensator (STATCOM) is generally used to regulate voltage and improve transient stability in transmission and distribution networks. This is achieved by controlling reactive power exchange between STATCOM and the grid. Unbalanced sags are the most common type of voltage sags in distribution networks. A static synchronous compensator (STATCOM) is generally used to maintain...

متن کامل

Robust Power Control of Microgrid based on Hybrid Renewable Power Generation Systems

This paper presents modeling and control of a hybrid distributed energy sources including photovoltaic (PV), fuel cell (FC) and battery energy storage (BES) in a microgrid which provides both real and reactive power to support an unbalanced utility grid. The overall configuration of the microgrid including dynamic models for the PV, FC, BES and its power electronic interfacing are briefly descr...

متن کامل

Fuzzy-Logic Based Frequency Controller for Wind Farms Augmented With Energy Storage and PV Systems

To improve the primary frequency response in future low-inertia hybrid power system a fuzzylogic based frequency controller (FFC) for wind farms augmented with energy storage systems(wind-storage system) and intelligent PV farms for the frequency stabilization is proposed inthis paper. Using system frequency deviations the proposed controller provides bidirectionalreal p...

متن کامل

Active Suspension System Control Using Adaptive Neuro Fuzzy (ANFIS) Controller

The purpose of designing the active suspension systems is providing comfort riding and good handling in different road disturbances. In this paper a novel control method based on adaptive neuro fuzzy system in active suspension system is proposed. Choosing the proper data base to train the ANFIS has an important role in increasing the suspension system’s performance. The data base which is used...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • IEEE Micro

دوره 15  شماره 

صفحات  -

تاریخ انتشار 1995