This paper studies the design of an optimal relaxed causal sampler using sampled data system theory. A lifted frequency domain approach is used to obtain the existence conditions and the optimal sampler. A state space formulation of the results is also provided. The resulting optimal relaxed causal sampler is a cascade of a linear continuous time system followed by a generalized sampler and a discrete system.
|Place of Publication||Enschede|
|Publisher||University of Twente, Department of Applied Mathematics|
|Number of pages||35|
|Publication status||Published - 24 Sep 2014|
|Name||Memorandum of the Department of Applied Mathematics|
- Optimal filtering
- Signal processing
- Robust control
Shekhawat, H., & Meinsma, G. (2014). Optimal relaxed causal sampling from system theoretic viewpoint. (Memorandum of the Department of Applied Mathematics; No. 2037). Enschede: University of Twente, Department of Applied Mathematics.