Abstract
In this paper the problem of stability analysis and stabilization implemented by artificial neural networks (ANN) for linear time invariant discrete large-scale systems are discussed. The numerical experiments and algorithm analysis show that ANN method of stability analysis formulated in the paper eliminate the conservativeness which is inherent in the methods now available for stability analysis of large-scale systems, and guarantee the technical feasibility in computation and good time and space efficiency as well. The stabilization method based on the ANN implementation of stability analysis is also effective.
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