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Control of structural seismic response by self-recurrent neural network (SRNN)

✍ Scribed by He, Yu-Ao; Wu, Jianjun

Publisher: John Wiley and Sons
Year: 1998
Tongue: English
Weight: 108 KB
Volume: 27
Category: Article
ISSN: 0098-8847
DOI: 10.1002/(sici)1096-9845(199807)27:7<641::aid-eqe741>3.0.co;2-d

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✦ Synopsis

A new paradigm called self-recurrent neural network (SRNN) is proposed. Two SRNNs are utilized in a control system, one as an emulator and the other as a controller. To guarantee convergence and for faster learning, an approach using adaptive learning rate is developed by Lyapunov function. Finally, the neural network control algorithm is developed for on-line control of structural seismic response in real time. Simulation-results have shown that it can effectively control structural seismic response and make it consist with the desired response.

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