Singular $$\mathcal{H}$$2-optimization problems for discrete-time systems
Automation and Remote Control
Novel system inversion algorithm with application to oversampled perfect reconstruction filter banks
IEEE Transactions on Signal Processing
Brief Paper: Direct State Space Solution of Multirate Sampled-Data H2 Optimal Control
Automatica (Journal of IFAC)
Technical Communique: Robust sampled-data stabilization of linear systems: an input delay approach
Automatica (Journal of IFAC)
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This paper deals with the sampled-data $H_2$ optimal control problem. Given a linear time-invariant continuous-time system, the problem of minimizing the $H_2$ performance over all sampled-data controllers with a fixed sampling period can be reduced to a pure discrete-time $H_2$ optimal control problem. This discrete-time $H_2$ problem is always singular. Motivated by this, in this paper we give a treatment of the discrete-time $H_2$ optimal control problem in its full generality. The results we obtain are then applied to the singular discrete-time $H_2$ problem arising from the sampled-data $H_2$ problem. In particular, we give conditions for the existence of optimal sampled data controllers. We also show that the $H_2$ performance of a continuous-time controller can always be recovered asymptotically by choosing the sampling period sufficiently small. Finally, we show that the optimal sampled-data $H_2$ performance converges to the continuous-time optimal $H_2$ performance as the sampling period converges to zero.