Optimal sensor system design for state reconstruction
- 1 February 1982
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Automatic Control
- Vol. 27 (1) , 242-244
- https://doi.org/10.1109/tac.1982.1102842
Abstract
A method is developed to evaluate the relationship between cost and performance in sensor system design. The conflicting requirements of minimizing cost and maximizing performance are met by a tradeoff analysis. Sensor cost is set proportional to systematic precision (defined as the inverse of the systematic error variance), and system performance is chosen to be a measure of the Cramer-Rao lower bound on the unknown parameter estimation accuracies. Expressions for performance sensitivities are developed as well as the necessary conditions for an extremum of the optimal precision problem.Keywords
This publication has 5 references indexed in Scilit:
- Design and Evaluation of Sensor Systems for State and Parameter EstimationJournal of Guidance and Control, 1978
- Optimization of measurement schedules and sensor designs for linear dynamic systemsIEEE Transactions on Automatic Control, 1976
- Analysis and optimization of certain qualities of controllability and observability for linear dynamical systemsAutomatica, 1972
- Optimization of a Certain Quality of Complete Controllability and Observability for Linear Dynamical SystemsJournal of Basic Engineering, 1969
- Optimal control of measurement subsystemsIEEE Transactions on Automatic Control, 1967