A critical review of structural system control by the large-scaled neural network linear-deferential-inclusion-based criterion

摘要

The objective of this paper is to review some important progress in structural system control and then derive an artificial algorithm for the solution of stability problems. In this study, a closed-form, easy-to-use fuzzy control method for large-scaled structural systems is developed. First, the structural systems are reviewed and large-scaled schemes are employed to represent the structural systems. The representation of the large-scaled systems consists of J large-scaled subsystems. The neural network modeling and the LDI (linear deferential inclusion) are recalled to represent a large-scaled structural system and a novel stability criterion can be derived via Lyapunov direct methods.