Kniha Composite Disturbance Rejection Control (CDRC) for Complex Dynamic Systems Jinhui Zhang

Composite Disturbance Rejection Control (CDRC) for Complex Dynamic Systems

Autor: Jinhui Zhang
Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: Elsevier Science
Dostupnosť: Skladom u dodávateľa
Odosielame za 14-21 dní
211.84
Disturbances are pervasive in modern engineering systems, exerting a nonnegligible negative influenc...

Informácie o knihe

Autor
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2025
Stránok
330
EAN
9780443300561
ISBN
0443300569
Enbook ID
46434861
Vydavateľ
Hmotnosť
450
Rozmery
152 x 229

Kompletný popis

Disturbances are pervasive in modern engineering systems, exerting a nonnegligible negative influence on system performance. Conventional control methods, like PID, exhibit limited efficacy in managing disturbances, while certain advanced control approaches face practical implementation challenges in real-world control systems for a multitude of reasons. Composite Disturbance Rejection Control (CDRC) for Complex Dynamic Systems introduces a range of innovative composite disturbance rejection control methods, integrating DOB, ADRC, and other advanced control algorithms. These methods are poised to enhance the control performance of diverse practical control systems in the presence of disturbances.

  • Offers a comprehensive exploration of control strategies across multiple chapters. Readers will gain insight into various disturbance rejection control design methodologies. This deepens their understanding of these methods and enhances their ability to select the most suitable approach for specific situations
  • Introduces a range of Combined Disturbance Rejection Control (CDRC) methods, created by merging different disturbance rejection control techniques. This provides readers with innovative approaches to designing control systems tailored to diverse scenarios
  • Through practical applications of the proposed CDRC methods in various engineering systems, the book presents numerous examples and solutions for industrial control systems. These applications span fields such as aerospace, unmanned vehicles, and robotics, offering valuable insights and real-world solutions

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