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Modern Control: State-Space Analysis and Design Methods

About 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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  • Language:
  • English
  • ISBN:
  • 9781260459241
  • Binding:
  • Paperback
  • Pages:
  • 192
  • Published:
  • May 27, 2020
  • Dimensions:
  • 242x195x22 mm.
  • Weight:
  • 832 g.
Delivery: 2-4 weeks
Expected delivery: September 17, 2025

Description of 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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