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Hybrid state-space self-tuning control using dual-rate sampling

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3 Author(s)
Leang Shieh, S. ; Dept. of Electr. Eng., Houston Univ., TX, USA ; Zhao, X.M. ; Sunkel, John W.

Presents a hybrid state-space self-tuning control scheme using dual-rate sampling for suboptimal digital adaptive control of linear time-invariant continuous-time multivariable stochastic systems with unknown parameters. An equivalent fast-rate discrete-time state-space innovation model (with estimated states) of the continuous-time system is constructed by using the estimated system parameters and Kalman gain. To utilise the existing optimal regional-pole assignment method developed in the continuous-time domain, the constructed fast-rate discrete-time model is converted into an equivalent continuous-time model for the development of a state-feedback optimal control law with pole placement in a specific region. The developed analogue optimal control law is then converted into an equivalent pseudo-slow-rate digital control law via the proposed digital redesign technique, which can be realised via slow-rate digital electronics

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Control Theory and Applications, IEE Proceedings D  (Volume:138 ,  Issue: 1 )