In this paper, we study delayed reaction-diffusion fuzzy neural networks with general boundary conditions. By using topology degree theory and constructing suitable Lyapunov functional, some sufficient conditions are given to ensure the existence, uniqueness and globally exponential stability of the
Fuzzy behavior of mechanical systems with uncertain boundary conditions
โ Scribed by A. Cherki; G. Plessis; B. Lallemand; T. Tison; P. Level
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 364 KB
- Volume
- 189
- Category
- Article
- ISSN
- 0045-7825
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โฆ Synopsis
The problem of structures' sensitivities to uncertain boundary conditions is presented in this paper and the eect of uncertain prescribed displacements on the static response of structures is discussed. The imprecise or uncertain prescribed displacements are treated as fuzzy quantities with known membership functions. For numerical computations, a fuzzy quantity can be approximated by sets of closed intervals with respect to speciยฎed a-cuts. This transforms the problem into a set of interval equations at each a-level. A numerical method is developed to solve the system of fuzzy equations. Simple stress analysis is also used to establish and illustrate the method. A numerical example is presented to demonstrate the capability of the method.
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