A Matlab/Simulink Toolbox for Inversion of Local Linear Model Trees

نویسندگان

  • Mirko Nentwig
  • Paolo Mercorelli
چکیده

Models in the form of characteristic diagrams or more specifically, in the form of engine operating maps are mostly used in the automobile industry. This yields a large amount of measurements and involves the use of advanced instrumentations. This paper shows a developed software environment, namely a toolbox for the program Matlab/Simulink developed by company Mathworks. The name of the toolbox is ”Inversion of the Local Linear Model Trees” and it basically consists of a local inversion of the Local Linear Model Trees (LOLIMOT). The importance of the inversion in control problems is widely known. Neural networks are a very effective and popular tools mostly used for modeling. The inversion of a neural network produces real possibilities to involve the networks in the control problem schemes. The developed toolbox is explained with the help of diagrams and GUI structure from Matlab which tend to clarify the idea of the program and its structure. The presentation is organized as a short tutorial of the toolbox, so that a potential user can directly understand how to access it. Nevertheless, formal mathematical equations, concerning the neural networks and membership functions, need to be explained together with the LOLIMOT structure. To validate and to clarify the explained toolbox, an example from a system used in the automobile industry is briefly shown.

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

A Descriptor Systems Toolbox for MATLAB

We describe a recently developed Descriptor Systems Toolbox implemented under Matlab. This Toolbox relies on the object oriented approach for control systems analysis and design provided within the standard Control Toolbox of Matlab. The basic approach to develop the Descriptor Systems Toolbox was to exploit the powerful matrix and system object manipulation features of Matlab via flexible and ...

متن کامل

Neural Predictive Control Toolbox for Cacsd in Matlab Environment

This paper describes a neural predictive control toolbox developed in Matlab/Simulink environment. The application permits all phases of the system design: simulation of the plant by means of any Simulink model, loading of input/output data, definition of the neural network architecture, training, and, finally, application of the predictive control strategy based on the neural network model. Co...

متن کامل

A New Approach to Implement Chaotic Generators Based on Filed Programmable Gate Array (FPGA)

In this paper, we introduce a new method to implement chaotic generators based on Henon map chaotic system given by the state equations by using Filed Programmable Gate Array (FPGA). The aim of this method is to increase the frequency of the chaotic generators. The new method is based on MATLAB Software, Xilinx System Generator, Xilinx Alliance tools, Leonardo spectrum or Synplicity Synplify an...

متن کامل

Ecolego - a toolbox for radioecological risk assessment

Ecolego is a MATLAB toolbox for modelling dynamic systems and to perform risk assessments using model simulations. The toolbox supports linear and non-linear systems, modelled in continuous time, sampled time, or a hybrid of the two. The Graphical User Interface of Ecolego facilitates the transition from a conceptual model, represented with an interaction matrix, to a mathematical model impleme...

متن کامل

Modeling, Simulation and Design of Control Circuit for Flexible Energy System in Matlab&simulink

The paper introduces two control loops for keeping the temperatures at given values based on technological conditions. The design of the control loops is carried out in several steps. Firstly, the regulated plant must be identified. This is done through ident tool in Matlab (simulating a step response to predefined step change) and it leads to linearized mathematical model in a given operating ...

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:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010