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Creators/Authors contains: "Gray, W S"

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  1. ; ; (, IEEE Control Systems Letters)
    Free, publicly-accessible full text available January 1, 2026
  2. ; ; (, Proceedings of the ... American Control Conference)
    A hybrid control architecture for nonlinear dynamical systems is described which combines the advantages of model based control with those of real-time learning. The idea is to generate input-output data from an error system involving the plant and a proposed model. A discretized Chen-Fliess functional series is then identified from this data and used in conjunction with the model for predictive control. This method builds on the authors’ previous work on model-free control of a single-input, single-output Lotka-Volterra system.The problem is revisited here, but now with the introduction of a model for the dynamics. The single-input, multiple-output version of the problem is also investigated as a way to enhance closed-loop performance 
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    Accepted Manuscript Full Text Available