Häftad, Engelska, 2027
Adaptive Control of Complex Electromechanical Systems and Its Applications
Av Shubo Wang, Jing Na, Xuemei Ren, Qiang Chen, Shuangyi Hu
1932 kr
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Beskrivning
Adaptive Control of Complex Electromechanical Systems and Its Applications addresses the critical challenges of controlling nonlinear electromechanical systems that exhibit nonlinearities, parameter uncertainties, and external disturbances. This reference provides a thorough tutorial on adaptive parameter estimation, disturbance rejection, and transient performance enhancement, effectively bridging the gap between advanced theory and practical engineering applications. It offers detailed guidance on modeling non-smooth dynamics and designing robust adaptive controllers. The book benefits graduate students, researchers, and practicing engineers by presenting state-of-the-art algorithms and control strategies such as adaptive backstepping, disturbance observers, sliding mode control, and multi-motor driving systems. Supported by practical examples and experimental validation, it equips readers with the tools needed to improve control accuracy, robustness, and dynamic response in complex electromechanical systems. This resource facilitates rapid mastery of adaptive control techniques and supports innovation in research and industrial applications.
- Presents the latest advances in adaptive control and disturbance rejection for complex electromechanical systems, enabling researchers and engineers to enhance system performance and robustness
- Covers practical applications in robotics, servo, and motor driving systems, providing graduate students and professionals with relevant, real-world insights
- Includes worked examples and parameter estimation methods with adaptive control design, offering a user-friendly reference that facilitates learning and efficient application in advanced control projects
Produktinformation
- Utgivningsdatum: 2027-06-01
- Mått: 152 x 229 x undefined mm
- Vikt: 450 g
- Format: Häftad
- Språk: Engelska
- Antal sidor: 300
- Förlag: Elsevier Science
- ISBN: 9780443491955
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