Abstract
Of fundamental importance to proper system identification and virtual sensing is the determination and assessment of an optimal set of input signals independent of the final model form. If the system is causal and deterministic, it is possible to efficiently compute an information-theoretic optimal input set for a desired uniform accuracy of the target estimate and maximal dimension of the candidate input set. A branch and bound combinatorial optimization algorithm based on an estimate of joint mutual information is presented as part of a total coherent methodology of input selection.
Original language | English |
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Title of host publication | Midwest Symposium on Circuits and Systems |
Volume | 1 |
State | Published - Dec 1 2002 |
Event | 2002 45th Midwest Symposium on Circuits and Systems - Tulsa, OK, United States Duration: Aug 4 2002 → Aug 7 2002 |
Other
Other | 2002 45th Midwest Symposium on Circuits and Systems |
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Country/Territory | United States |
City | Tulsa, OK |
Period | 8/4/02 → 8/7/02 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials