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Publikováno v:
IFSA-SCIS
Bilevel linear programming (BLP) is a solution method for linear optimization problem with two sequential decision steps of the leader and the follower. In this paper, we assume that the follower's objective function is imprecise and can be represent
Publikováno v:
FUZZ-IEEE
This paper is concerned with output feedback control design for a discrete-time Takagi-Sugeno fuzzy system where the premise variable is not necessarily measurable. The Takagi-Sugeno fuzzy system generally describes nonlinear systems by employing loc
Publikováno v:
FUZZ-IEEE
This paper studies the stabilization problem of large scale nonlinear systems described by the interconnected T-S fuzzy-models by using an integral Lyapunov functional and adding appropriate slack variables. Simulation examples are presented to illus
Publikováno v:
SMC
The design of interval Type-2 Takagi-Sugeno fuzzy control systems (IT2 T-S FCSs) holding model uncertainty has been demonstrated. An IT2 T-S fuzzy model holding model uncertainty and IT2 fuzzy controllers constructed the closed-loop fuzzy control sys
Publikováno v:
FUZZ-IEEE
Controlling states or outputs of technical processes to exact set points is not necessary in some technical applications. It may be sufficient to keep the state variables in defined regions. This fact can be utilized to formulate set point intervals.
Autor:
Chun Ming Tommy Yip, Woei Wan Tan
Publikováno v:
FUZZ-IEEE
Interval type-2 fuzzy logic controllers (IT2 FLCs) have been treated as a black box in most control applications because the input-output relationship is not fully understood. Reason is that the input-output mapping is very difficult to be expressed
Autor:
Farid Bouttout, Abdelaziz Aouiche
Publikováno v:
2015 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW).
In the old paper of Mukhopadhyay and Narendra, the problem of disturbance rejection in the control of nonlinear systems with additive disturbance generated by some unforced dynamical systems, was formulated and solved by using neural networks for sev
Publikováno v:
FUZZ-IEEE
Controlling a process variable to an exact set point is not necessary in many technical applications; the aim is rather to reach a defined interval or to avoid another. Finally, it is possible to formulate a fuzzy goal for the requirement to the cont
Publikováno v:
MED
This paper deals with the stability and stabilization problems of uncertain descriptor fuzzy systems described by Takagi-Sugeno (TS) fuzzy models. Sufficient conditions are developed to synthesize the feedback controller based on the so-called Parall
Publikováno v:
CYBCONF
This paper proposes an approach to the fuzzy modeling of servo systems using Simulated Annealing (SA) algorithms. A set of local state-space models is obtained from the first principle models of the process. The initial Takagi-Sugeno-Kang (TSK) fuzzy