• Wyszukiwanie zaawansowane
  • Kategorie
  • Kategorie BISAC
  • Książki na zamówienie
  • Promocje
  • Granty
  • Książka na prezent
  • Opinie
  • Pomoc
  • Załóż konto
  • Zaloguj się

Predictive Approaches to Control of Complex Systems » książka

zaloguj się | załóż konto
Logo Krainaksiazek.pl

koszyk

konto

szukaj
topmenu
Księgarnia internetowa
Szukaj
Książki na zamówienie
Promocje
Granty
Książka na prezent
Moje konto
Pomoc
 
 
Wyszukiwanie zaawansowane
Pusty koszyk
Bezpłatna dostawa dla zamówień powyżej 20 złBezpłatna dostawa dla zamówień powyżej 20 zł

Kategorie główne

• Nauka
 [2949524]
• Literatura piękna
 [1817948]

  więcej...
• Turystyka
 [70715]
• Informatyka
 [151291]
• Komiksy
 [35671]
• Encyklopedie
 [23176]
• Dziecięca
 [612440]
• Hobby
 [136066]
• AudioBooki
 [1740]
• Literatura faktu
 [226030]
• Muzyka CD
 [378]
• Słowniki
 [2918]
• Inne
 [445441]
• Kalendarze
 [1181]
• Podręczniki
 [166545]
• Poradniki
 [469898]
• Religia
 [508035]
• Czasopisma
 [502]
• Sport
 [61392]
• Sztuka
 [242759]
• CD, DVD, Video
 [3348]
• Technologie
 [219537]
• Zdrowie
 [98738]
• Książkowe Klimaty
 [124]
• Zabawki
 [2382]
• Puzzle, gry
 [3543]
• Literatura w języku ukraińskim
 [259]
• Art. papiernicze i szkolne
 [7107]
Kategorie szczegółowe BISAC

Predictive Approaches to Control of Complex Systems

ISBN-13: 9783642439773 / Angielski / Miękka / 2014 / 260 str.

Gorazd Karer; Igor Krjanc
Predictive Approaches to Control of Complex Systems Gorazd Karer Igor Krjanc 9783642439773 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Predictive Approaches to Control of Complex Systems

ISBN-13: 9783642439773 / Angielski / Miękka / 2014 / 260 str.

Gorazd Karer; Igor Krjanc
cena 402,53
(netto: 383,36 VAT:  5%)

Najniższa cena z 30 dni: 385,52
Termin realizacji zamówienia:
ok. 16-18 dni roboczych.

Darmowa dostawa!
inne wydania

A predictive control algorithm uses a model of the controlled system to predict the system behavior for various input scenarios and determines the most appropriate inputs accordingly. Predictive controllers are suitable for a wide range of systems; therefore, their advantages are especially evident when dealing with relatively complex systems, such as nonlinear, constrained, hybrid, multivariate systems etc. However, designing a predictive control strategy for a complex system is generally a difficult task, because all relevant dynamical phenomena have to be considered. Establishing a suitable model of the system is an essential part of predictive control design. Classic modeling and identification approaches based on linear-systems theory are generally inappropriate for complex systems; hence, models that are able to appropriately consider complex dynamical properties have to be employed in a predictive control algorithm. This book first introduces some modeling frameworks, which can encompass the most frequently encountered complex dynamical phenomena and are practically applicable in the proposed predictive control approaches. Furthermore, unsupervised learning methods that can be used for complex-system identification are treated. Finally, several useful predictive control algorithms for complex systems are proposed and their particular advantages and drawbacks are discussed. The presented modeling, identification and control approaches are complemented by illustrative examples. The book is aimed towards researches and postgraduate students interested in modeling, identification and control, as well as towards control engineers needing practically usable advanced control methods for complex systems.

Kategorie:
Hobby, Dom
Kategorie BISAC:
Technology & Engineering > Automation
Science > System Theory
Technology & Engineering > Robotics
Wydawca:
Springer
Seria wydawnicza:
Studies in Computational Intelligence
Język:
Angielski
ISBN-13:
9783642439773
Rok wydania:
2014
Wydanie:
2013
Numer serii:
000318395
Ilość stron:
260
Waga:
4.16 kg
Wymiary:
23.5 x 15.5
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

"The book deals with the theoretical background of predictive control approaches for complex systems, as well, as for application of developed control methods to batch reactors. ... The book is dedicated to both researchers and practitioners working on advanced control methods for complex systems who are interested in the application of soft computing methods in the framework of predictive control." (Krzysztof Galkowski, zbMATH 1311.93001, 2015)

Introduction .- Modeling of complex systems for predictive control .- Modeling an identification of a batch reactor.- Predictive control of complex systems.- Predictive control of complex systems.

A predictive control algorithm uses a model of the controlled system to predict the system behavior for various input scenarios and determines the most appropriate inputs accordingly. Predictive controllers are suitable for a wide range of systems; therefore, their advantages are especially evident when dealing with relatively complex systems, such as nonlinear, constrained, hybrid, multivariate systems etc. However, designing a predictive control strategy for a complex system is generally a difficult task, because all relevant dynamical phenomena have to be considered. Establishing a suitable model of the system is an essential part of predictive control design. Classic modeling and identification approaches based on linear-systems theory are generally inappropriate for complex systems; hence, models that are able to appropriately consider complex dynamical properties have to be employed in a predictive control algorithm.

This book first introduces some modeling frameworks, which can encompass the most frequently encountered complex dynamical phenomena and are practically applicable in the proposed predictive control approaches. Furthermore, unsupervised learning methods that can be used for complex-system identification are treated. Finally, several useful predictive control algorithms for complex systems are proposed and their particular advantages and drawbacks are discussed. The presented modeling, identification and control approaches are complemented by illustrative examples. The book is aimed towards researches and postgraduate students interested in modeling, identification and control, as well as towards control engineers needing practically usable advanced control methods for complex systems.



Udostępnij

Facebook - konto krainaksiazek.pl



Opinie o Krainaksiazek.pl na Opineo.pl

Partner Mybenefit

Krainaksiazek.pl w programie rzetelna firma Krainaksiaze.pl - płatności przez paypal

Czytaj nas na:

Facebook - krainaksiazek.pl
  • książki na zamówienie
  • granty
  • książka na prezent
  • kontakt
  • pomoc
  • opinie
  • regulamin
  • polityka prywatności

Zobacz:

  • Księgarnia czeska

  • Wydawnictwo Książkowe Klimaty

1997-2026 DolnySlask.com Agencja Internetowa

© 1997-2022 krainaksiazek.pl
     
KONTAKT | REGULAMIN | POLITYKA PRYWATNOŚCI | USTAWIENIA PRYWATNOŚCI
Zobacz: Księgarnia Czeska | Wydawnictwo Książkowe Klimaty | Mapa strony | Lista autorów
KrainaKsiazek.PL - Księgarnia Internetowa
Polityka prywatnosci - link
Krainaksiazek.pl - płatnośc Przelewy24
Przechowalnia Przechowalnia