Active Structual Response Control With Self-Learning Mechanism

(Nakanarusawa-cho 4-12-1, Hitachi, Ibaraki, 316-8511, Japan)The identification and control of large-scale structures are considered to be difficult due to structural complicacy and system uncertainties. In this paper, based on the concept of localized control and neural networks, a computational algorithm for earthquake response control of large-scale structures is proposed. In this algorithm, the control-structure interaction (CSI) and actuator dynamics are considered. Moreover, electro-hydraulic actuators as practical applications are designed to simulate the proposed control algorithm. Results from the numerical simulations have shown great promise for the control of large-scale civil engineering structures with localized control using neural networks.

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Active Structual Response Control With Self-Learning Mechanism

Cited by 2 publications

References 4 publications

Prediction Control of SDOF System

Prediction Control of SDOF System

Adaptive Localized Control of Structure-Actuator Coupled System Using Multi-Layer Neural Networks

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