Fuzzy Filter-Based FDD Design for Non-Gaussian Stochastic Distribution Processes Using T-S Fuzzy Modeling
نویسندگان
چکیده
منابع مشابه
Approximation of stochastic processes by T-S fuzzy systems
Fuzzy systems can provide us with universal approximation models of deterministic input–output relationships, but in the stochastic environment few achievements related to the subject have so far achieved. In the paper a novel stochastic Takagi–Sugeno (T–S) fuzzy system is introduced to represent approximately existing randomness in many real-world systems. By recapitulating the general archite...
متن کاملImproved Results on Fuzzy H∞ Filter Design for T-S Fuzzy Systems
The fuzzy H∞ filter design problem for T-S fuzzy systems with interval time-varying delay is investigated. The delay is considered as the time-varying delay being either differentiable uniformly bounded with delay derivative in bounded interval or fast varying with no restrictions on the delay derivative . A novel Lyapunov-Krasovskii functional is employed and a tighter upper bound of its deriv...
متن کاملStatistic Tracking Control for Non-Gaussian Systems Using T-S Fuzzy Model
Abstract: This paper studies a new type of control framework for dynamical stochastic systems, called statistic tracking control. Non-Gaussian systems are considered and the tracked objective is the statistical information of a given target probability density function (PDF). Following neural network approximation to the performance function, the concerned problem is transferred into the tracki...
متن کاملDissipative control for Markov jump non-linear stochastic systems based on T-S fuzzy model
Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opin...
متن کاملDesign of Instrumentation Sensor Networks for Non-Linear Dynamic Processes Using Extended Kalman Filter
This paper presents a methodology for design of instrumentation sensor networks in non-linear chemical plants. The method utilizes a robust extended Kalman filter approach to provide an efficient dynamic data reconciliation. A weighted objective function has been introduced to enable the designer to incorporate each individual process variable with its own operational importance. To enhance...
متن کاملذخیره 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: Mathematical Problems in Engineering
سال: 2013
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2013/156262