Fractional-Order Sliding Mode Control: Methodologies and Applications: Methodologies and Applications (Studies in Systems, Decision and Control, 532)
Description:
This book delves deep into fractional-order control and fractional-order sliding mode techniques, addressing key challenges in the control design of linear motor systems and control for the deployment of space tethered systems. Innovative strategies such as adaptive fractional-order sliding mode control and fractional-order fuzzy sliding mode control schemes are devised to enhance system performance. Divided into three parts, it covers a brief view of fractional-order control strength in modeling and control, fractional-order sliding mode control of linear motor systems, and fractional-order sliding mode control for the deployment of space tethered systems. Each chapter offers valuable insights and solutions. Simulations and experiments validate the efficacy of these approaches, making this book essential for researchers, engineers, and practitioners in control systems and aerospace engineering.
Best prices to buy, sell, or rent ISBN 9783031608469
Frequently Asked Questions about Fractional-Order Sliding Mode Control: Methodologies and Applications: Methodologies and Applications (Studies in Systems, Decision and Control, 532)
The price for the book starts from $153.99 on Amazon and is available from 4 sellers at the moment.
If you’re interested in selling back the Fractional-Order Sliding Mode Control: Methodologies and Applications: Methodologies and Applications (Studies in Systems, Decision and Control, 532) book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.
As for the Fractional-Order Sliding Mode Control: Methodologies and Applications: Methodologies and Applications (Studies in Systems, Decision and Control, 532) book, the best buyback offer comes from and is $ for the book in good condition.
Not enough insights yet.
Not enough insights yet.