Tracked shipping to South Africa with premium packaging for just R199 

Ship to
South Africa
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada State Estimation and Stabilization of Nonlinear Systems: Theory and Applications
Type
Physical Book
Publisher
Author
Language
English
Pages
445
Format
Hardcover
Dimensions
23.6 x 15.8 x 2.8 cm
Weight
0.91 kg.
ISBN13
9783031379697
Categories

State Estimation and Stabilization of Nonlinear Systems: Theory and Applications

Ben Makhlouf, Abdellatif ; Hammami, Mohamed Ali ; Naifar, Omar (Author) · Springer · Hardcover

State Estimation and Stabilization of Nonlinear Systems: Theory and Applications - Ben Makhlouf, Abdellatif ; Hammami, Mohamed Ali ; Naifar, Omar

Cheaper New Book Imported to South Africa
Delivery: 31 Jul - 31 Aug Shipping: 20 to 25 business days.
R 2,688
Faster New Book Imported to South Africa
Delivery: 21 Jul - 13 Aug Shipping: 12 to 13 business days.
R 3,374
R 2,688

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "State Estimation and Stabilization of Nonlinear Systems: Theory and Applications"

This book presents the separation principle which is also known as the principle of separation of estimation and control and states that, under certain assumptions, the problem of designing an optimal feedback controller for a stochastic system can be solved by designing an optimal observer for the system's state, which feeds into an optimal deterministic controller for the system. Thus, the problem may be divided into two halves, which simplifies its design. In the context of deterministic linear systems, the first instance of this principle is that if a stable observer and stable state feedback are built for a linear time-invariant system (LTI system hereafter), then the combined observer and feedback are stable. The separation principle does not true for nonlinear systems in general. Another instance of the separation principle occurs in the context of linear stochastic systems, namely that an optimum state feedback controller intended to minimize a quadratic cost is optimal forthe stochastic control problem with output measurements. The ideal solution consists of a Kalman filter and a linear-quadratic regulator when both process and observation noise are Gaussian. The term for this is linear-quadratic-Gaussian control. More generally, given acceptable conditions and when the noise is a martingale (with potential leaps), a separation principle, also known as the separation principle in stochastic control, applies when the noise is a martingale (with possible jumps).

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Hardcover.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews