Stability And Control Of Linear Systems (Hb 2019) at Meripustak

Stability And Control Of Linear Systems (Hb 2019)

Books from same Author: BACCIOTTI A

Books from same Publisher: Springer

Related Category: Author List / Publisher List


  • Retail Price: ₹ 8525/- [ 11.00% off ]

    Seller Price: ₹ 7587

Sold By: MeriPustak      Click for Bulk Order

Offer 1: Get ₹ 111 extra discount on minimum ₹ 500 [Use Code: Bharat]

Offer 2: Get 11.00 % + Flat ₹ 100 discount on shopping of ₹ 1500 [Use Code: IND100]

Offer 3: Get 11.00 % + Flat ₹ 300 discount on shopping of ₹ 5000 [Use Code: MPSTK300]

Free Shipping (for orders above ₹ 499) *T&C apply.

In Stock

Free Shipping Available



Click for International Orders
  • Provide Fastest Delivery

  • 100% Original Guaranteed
  • General Information  
    Author(s)BACCIOTTI A
    PublisherSpringer
    ISBN9783030024048
    Pages189
    BindingHardbound
    LanguageEnglish
    Publish YearDecember 2018

    Description

    Springer Stability And Control Of Linear Systems (Hb 2019) by BACCIOTTI A

    This advanced textbook introduces the main concepts and advances in systems and control theory, and highlights the importance of geometric ideas in the context of possible extensions to the more recent developments in nonlinear systems theory. Although inspired by engineering applications, the content is presented within a strong theoretical framework and with a solid mathematical background, and the reference models are always finite dimensional, time-invariant multivariable linear systems. The book focuses on the time domain approach, but also considers the frequency domain approach, discussing the relationship between the two approaches, especially for single-input-single-output systems. It includes topics not usually addressed in similar books, such as a comparison between the frequency domain and the time domain approaches, bounded input bounded output stability (including a characterization in terms of canonical decomposition), and static output feedback stabilization for which a simple and original criterion in terms of generalized inverse matrices is proposed.