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Can I read Adaptive Fuzzy Approach for a Class of Uncertain Nonlinear Systems in Strict-feedback Form on EtoBox?
Adaptive Fuzzy Approach for a Class of Uncertain Nonlinear Systems in Strict-feedback Form by H.F. Ho; Y.K. Wong; A.B. Rad is a Engineering article available to read on EtoBox.
What is Adaptive Fuzzy Approach for a Class of Uncertain Nonlinear Systems in Strict-feedback Form about?
Adaptive fuzzy control is proposed for a class of affine nonlinear systems in strict-feedback form with unknown nonlinearities. The unknown nonlinearities include two types of nonlinear functions: one satisfies the "triangularity condition" and can be directly approximated by fuzzy logic system, while the other is assumed to be partially known and consists of parametric uncertainties. Takagi-Sugeno type fuzzy approximators are used to approximate unknown system nonlinearities and the design procedure is a combination of adaptive backstepping and generalized small gain design techniques. It is proved that the proposed adaptive control scheme can guarantee the uniformly ultimately bounded (UBB) stability of the closed-loop systems. Simulation studies are shown to illustrate the effectiveness of the proposed approach.
Who reads Adaptive Fuzzy Approach for a Class of Uncertain Nonlinear Systems in Strict-feedback Form?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- H.F. Ho; Y.K. Wong; A.B. Rad
- Publisher
- Elsevier Science; Elsevier ; Instrument Society of America; Elsevier BV (ISSN 0019-0578)
- Published
- 2008
- Language
- EN
- Field
- Engineering (Physical Sciences)