In this paper, we study the problem of finite-horizon Kalman filtering for systems involving a norm-bounded uncertain block. A new technique is presented for robust Kalman filter design. This technique involves using multiple scaling parameters that can be optimized by solving a semidefinite program. The use of optimized scaling parameters leads to an improved design. A recursive design method that can be applied to real-time applications is also proposed.
Copyright 2012 Elsevier B.V., All rights reserved.
- Adaptive filtering
- Kalman filtering
- Robust filtering
- Robust signal processing