Tags
Language
Tags
May 2024
Su Mo Tu We Th Fr Sa
28 29 30 1 2 3 4
5 6 7 8 9 10 11
12 13 14 15 16 17 18
19 20 21 22 23 24 25
26 27 28 29 30 31 1
https://pbusa.top/

Have you ever wondered what Marilyn Monroe, Pamela Anderson, Dolly Parton, Farrah Fawcett, and Cindy Crawford all have in common? It's not just their legendary status in the entertainment industry - they've all graced the pages of Playboy Magazine at some point in their illustrious careers. Experience the timeless allure of these global icons and many more in the complete Playboy Archive!

Complete Playboy Archive
Now with FREE DOWNLOAD!

Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems (Repost)

Posted By: AvaxGenius
Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems (Repost)

Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems by Vasile Dragan, Toader Morozan, Adrian-Mihail Stoica
English | PDF | 2010 | 349 Pages | ISBN : 1441906290 | 7.4 MB

In this monograph the authors develop a theory for the robust control of discrete-time stochastic systems, subjected to both independent random perturbations and to Markov chains. Such systems are widely used to provide mathematical models for real processes in fields such as aerospace engineering, communications, manufacturing, finance and economy. The theory is a continuation of the authors’ work presented in their previous book entitled "Mathematical Methods in Robust Control of Linear Stochastic Systems" published by Springer in 2006.

Linear Stochastic Systems: A Geometric Approach to Modeling, Estimation and Identification (Repost)

Posted By: AvaxGenius
Linear Stochastic Systems: A Geometric Approach to Modeling, Estimation and Identification (Repost)

Linear Stochastic Systems: A Geometric Approach to Modeling, Estimation and Identification by Anders Lindquist
English | EPUB | 2015 | 788 Pages | ISBN : 3662457490 | 11.30 MB

This book presents a treatise on the theory and modeling of second-order stationary processes, including an exposition on selected application areas that are important in the engineering and applied sciences. The foundational issues regarding stationary processes dealt with in the beginning of the book have a long history, starting in the 1940s with the work of Kolmogorov, Wiener, Cramér and his students, in particular Wold, and have since been refined and complemented by many others. Problems concerning the filtering and modeling of stationary random signals and systems have also been addressed and studied, fostered by the advent of modern digital computers, since the fundamental work of R.E. Kalman in the early 1960s.