Optimal and Robust State Estimation: Finite Impulse Response Fir and Kalman Approaches Shmaliy Yuriy S.

Specifikacia Optimal and Robust State Estimation: Finite Impulse Response Fir and Kalman Approaches Shmaliy Yuriy S.

A unified and systematic theoretical framework for solving problems related to finite impulse response (FIR) estimateOptimal and Robust State Estimation: Finite Impulse Response (FIR) and Kalman Approaches is a comprehensive investigation into batch state estimators and recursive forms. The work begins by introducing the reader to the state estimation approach and provides a brief historical overview. Next, the work discusses the specific properties of finite impulse response (FIR) state estimators. Further chapters give the basics of probability and stochastic processes, discuss the available linear and nonlinear state estimators, deal with optimal FIR filtering, and consider a limited memory batch and recursive algorithms.Other topics covered include solving the q-lag FIR smoothing problem, introducing the receding horizon (RH) FIR state estimation approach,