摘要
In this paper, fuzzy systems are used as identifiers for unknown nonlinear dynamic systems. The fuzzy identifier can incorporate linguistic knowledge of nonlinear dynamic systems with input-output pairs directly into the design. In the case where there is the modelling error, a new identification algorithm is proposed. It is proved that the fuzzy identifier is globally stable and the identification error converges to zero exponentially fast.
In this paper, fuzzy systems are used as identifiers for unknown nonlinear dynamic systems. The fuzzy identifier can incorporate linguistic knowledge of nonlinear dynamic systems with input-output pairs directly into the design. In the case where there is the modelling error, a new identification algorithm is proposed. It is proved that the fuzzy identifier is globally stable and the identification error converges to zero exponentially fast.
基金
Supported by NSF of Sandong province (Q99G04)
