143,00 €
158,89 €
-10% with code: EXTRA
State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
143,00
158,89 €
  • We will send in 10–14 business days.
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.
  • SAVE -10% with code: EXTRA

State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties (e-book) (used book) | bookbook.eu

Reviews

Description

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.

EXTRA 10 % discount with code: EXTRA

143,00
158,89 €
We will send in 10–14 business days.

The promotion ends in 20d.07:16:23

The discount code is valid when purchasing from 10 €. Discounts do not stack.

Log in and for this item
you will receive 1,59 Book Euros!?

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.

Reviews

  • No reviews
0 customers have rated this item.
5
0%
4
0%
3
0%
2
0%
1
0%
(will not be displayed)