Please use this identifier to cite or link to this item:
|Title:||Observer-Based T–S Fuzzy Control for a Class of General Nonaffine Nonlinear Systems Using Generalized Projection-Update Laws|
|Publisher:||IEEE Computational Intelligence Society|
|Abstract:||In this paper, we propose an online observer-based Takagi–Sugeno (T–S) fuzzy-output tracking-control technique and an improved generalized projection-update law for a class of general nonafﬁne nonlinear systems with unknown functions and external disturbances. First, a T–S fuzzy model and a mean-value estimation technique are adopted to approximate a so-called virtual linearized system (VLS) of a real system and avoiding a high-order derivative problem, respectively. Second, a novel design concept combining the T–S fuzzy controller, observer, and tuning algorithm by neural networks is proposed to improve system performance. After that, we also use improved generalized projection-update laws, which prevent parameters drift and conﬁne adjustable parameters to the speciﬁed regions, to tune adjustable parameters. As a result, both the stability guarantee based on strictly positive real (SPR) Lyapunov theory and Barbalat’s lemma and the better tracking performance are concluded. To illustrate the effectiveness of the proposed T–S fuzzy controller and observer-design methodology, numerical simulation results are given in this paper|
|Appears in Collections:||教師著作|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.