This paper is concerned with the finite horizon H∞ full-information control for continuous-time systems with multiple input delays. The main contributions of the paper are two folds. First, parallel to the duality between the LQR of linear systems without delays and the optimal Altering, we establish a duality between the H∞ full-information control of systems with multiple input delays and an H ∞ smoothing of a stochastic backward system without involving delays. The duality allows us to address the complicated multiple input delays problem via the standard projection and innovation analysis. Secondly, by defining a stochastic indefinite linear space and applying a re-organized innovation analysis, an explicit controller is constructed in terms of two standard Riccati differential equations. © 2006 IEEE.
CITATION STYLE
Zhang, H., & Xie, L. (2006). H∞ control for continuous-time systems with multiple input delays: A smoothing estimation approach. In Proceedings of the IEEE Conference on Decision and Control (pp. 4357–4362). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.9746/jcmsi.1.155
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