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Modern Control: State-Space Analysis and Design Methods

Om Modern Control: State-Space Analysis and Design Methods

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Apply a state-space approach to modern control system analysis and designWritten by an expert in the field, this concise textbook offers hands-on coverage of modern control system engineering. Modern Control: State-Space Analysis and Design Methods features start-to-finish design projects as well as online snippets of MATLAB code with simulations. The essential mathematics are presented along with fully worked-out examples in gradually increasing degrees of difficulty. Readers will receive "just-in-time" math background from a comprehensive appendix and get step-by-step descriptions of the latest analysis and design techniques. Coverage includes: . An introduction to control systems . State-space representations . Pole placement via state feedback . State estimators (observers) . Non-minimal canonical forms . Linearization . Lyapunov stability . Linear quadratic regulators (LQR) . Symmetric root locus (SRL) . Kalman filter . Linear quadratic gaussian control (LQG)

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  • Språk:
  • Engelska
  • ISBN:
  • 9781260459241
  • Format:
  • Häftad
  • Sidor:
  • 192
  • Utgiven:
  • 28. maj 2020
  • Mått:
  • 242x195x22 mm.
  • Vikt:
  • 832 g.
Leveranstid: 2-4 veckor
Förväntad leverans: 22. juli 2025

Beskrivning av Modern Control: State-Space Analysis and Design Methods

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Apply a state-space approach to modern control system analysis and designWritten by an expert in the field, this concise textbook offers hands-on coverage of modern control system engineering. Modern Control: State-Space Analysis and Design Methods features start-to-finish design projects as well as online snippets of MATLAB code with simulations. The essential mathematics are presented along with fully worked-out examples in gradually increasing degrees of difficulty. Readers will receive "just-in-time" math background from a comprehensive appendix and get step-by-step descriptions of the latest analysis and design techniques. Coverage includes:
. An introduction to control systems
. State-space representations
. Pole placement via state feedback
. State estimators (observers)
. Non-minimal canonical forms
. Linearization
. Lyapunov stability
. Linear quadratic regulators (LQR)
. Symmetric root locus (SRL)
. Kalman filter
. Linear quadratic gaussian control (LQG)

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