Abstract: The concept of using neural networks to predict future values of constrained performance variables as part of an adaptive structural controller is proposed. Neural networks are first trained using simulated responses and ...

Abstract: In an extension of a previous paper, prediction accuracy is improved for neural networks to be used as part of an adaptive structural control system. This improvement will enable reliable predictions of performance variables ...

Abstract: A simple algorithm for multiobjective linear quadratic Gaussian control that can be used for various structural control applications is presented. This algorithm synthesizes Pareto optimal trade-off curves, which are plots ...