State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties

en Limba Engleză Paperback – 3 sep 2014

State estimation techniques for centralized, distributed, and decentralized systems are studied. An easy-to-implement state estimation concept is introduced that generalizes and combines basic principles of Kalman filter theory and ellipsoidal calculus. By means of this method, stochastic and set-membership uncertainties can be taken into consideration simultaneously. Different solutions for implementing these estimation algorithms in distributed networked systems are presented.

This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Citește tot Restrânge

Toate formatele și edițiile

	Preț	Express
Paperback (2)	438^.63 lei 3-5 săpt.
Karlsruher Institut für Technologie – 3 sep 2014	438^.63 lei 3-5 săpt.
Saint Philip Street Press – 8 oct 2020	477^.23 lei 38-44 zile
Hardback (1)	552^.03 lei 38-44 zile
Saint Philip Street Press – 8 oct 2020	552^.03 lei 38-44 zile