Predictive Control Using Fuzzy Models 1
نویسندگان
چکیده
This paper presents an algorithm for predictive control using fuzzy models.This strategy is a Predictive Control Strategy for Nonlinear systems. The algorithm takes advantage of the already well known methods for linear systems (like Generalized Predictive Control). Analysis of the modiied algorithm is presented and performance comparisons are shown. The performance comparisons are made using a model of a chemical process (Continuous Stirring Tank Reactor) where noise and uncertainties are included.
منابع مشابه
Nonlinear Predictive Control Using Fuzzy Models and Semideenite Programming 1 Nonlinear Predictive Control Using Fuzzy Models and Semideenite Programming
The present paper presents the rst steps towards a theory to build Robust Nonlinear Predictive Control based on Fuzzy Models. The main idea behind this theory is to write the Predictive Control Problem as a Robust Optimization problem and apply Semideenite Programming to solve in a eecient way the optimization. The information about the plant behavior and its uncertainties will be provided by t...
متن کاملPredictive Control Using Fuzzy Models - ComparativeStudy 1
Fuzzy control and predictive control techniques are two modern control strategies that have been accepted by the industry to solve complex problems. Everyday the industry demands control strategies that can deliver better performance for several operating points and these requirements have motivated the development of the theory of Nonlinear Model Predictive Control. This type of controllers ca...
متن کاملFault-Tolerant Model-Based Predictive Control Using Multiple Takagi-Sugeno Fuzzy Models
In this paper, we address fault-tolerant control for non-linear plants. We perform soft fault detection and isolation for partial fault detection. A new method is proposed that combines model predictive controllers with fuzzy Takagi-Sugeno models. An example is presented to illustrate the functionality of the proposed approach. Keywords— Fault detection and isolation, multiple models, fuzzy Tak...
متن کاملPredictive Control Using Fuzzy Models Applied to a
Fuzzy control systems and predictive control techniques has been widely accepted for industrial applications. Fuzzy modeling has received particular attention with in the industry and the nance sectors due to the qualitative insight about the behaviour of the modeled process. Predictive control had been focused on linear systems and time variant linear systems (Adaptive Predictive Control). The...
متن کاملGyroscope Random Drift Modeling, using Neural Networks, Fuzzy Neural and Traditional Time- series Methods
In this paper statistical and time series models are used for determining the random drift of a dynamically Tuned Gyroscope (DTG). This drift is compensated with optimal predictive transfer function. Also nonlinear neural-network and fuzzy-neural models are investigated for prediction and compensation of the random drift. Finally the different models are compared together and their advantages a...
متن کامل