Modern Control : State-Space Analysis and Design Methods /

"Written 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 mat...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Nakhmani, Arie (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, N.Y. : McGraw-Hill Education, [2020]
Edición:First edition.
Colección:McGraw-Hill's AccessEngineering.
Temas:
Automatic control.
Systems engineering.
TECHNOLOGY & ENGINEERING / Electrical
Electronic books.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright Page
  • Dedication
  • About the Author
  • Contents
  • Preface
  • Acknowledgments
  • 1 Introduction to Control Systems
  • Control System Design Goals
  • Plant Structure
  • Modeling
  • Conversion from ODE to Transfer Function
  • Conversion from Transfer Function to ODE
  • Stability
  • State-Space System?s Representation
  • Why Should We Learn about State Space?
  • Conversion from ODE to State Space
  • Solved Problems
  • 2 State-Space Representations
  • Continuous-Time Single-Input Single-Output (SISO) State-Space Systems
  • Transfer Function of Continuous-Time SISO State-Space System
  • Discrete-Time SISO State-Space Systems
  • Transfer Function of Discrete-Time SISO State-Space System
  • Multiple-Input Multiple-Output (MIMO) State-Space Systems
  • Stability of Continuous-Time Systems
  • Stability of Discrete-Time Systems
  • Block Diagrams of State-Space Systems
  • Controllability
  • Observability
  • Minimal Systems
  • State Similarity Transforms
  • Canonical Forms
  • Solved Problems
  • 3 Pole Placement via State Feedback
  • State Feedback
  • Controller Design
  • Tracking the Input Signal
  • Integrator in the Loop
  • Solved Problems
  • 4 State Estimation (Observers)
  • Observer Structure
  • Observer Design
  • Integrated System: State Feedback + Observer
  • Solved Problems
  • 5 Nonminimal Canonical Forms
  • Canonical Noncontrollable Form
  • Canonical Nonobservable Form
  • Stabilizability and Detectability
  • How to Check Controllability and Observability of Eigenvalues
  • Solved Problems
  • 6 Linearization
  • Equilibrium Points
  • Solved Problems
  • 7 Lyapunov Stability
  • Internally Stable Systems
  • Direct Lyapunov Method (Second Method)
  • Lyapunov Stability for Continuous-Time LTI Systems
  • Lyapunov Stability for Discrete-Time LTI Systems
  • Solved Problems
  • 8 Linear Quadratic Regulators
  • Cost Function
  • Continuous-Time Optimal Controller
  • Cross-Product Extension of Cost Function
  • Prescribed Degree of Stability
  • Discrete-Time Optimal Controller
  • Solved Problems
  • 9 Symmetric Root Locus
  • Continuous-Time SRL
  • Discrete-Time SRL
  • How to Sketch Continuous-Time SRL
  • How to Sketch Discrete-Time SRL
  • Solved Problems
  • 10 Kalman Filter
  • The Idea of Optimal Observer (Estimator) in Presence of Noise
  • Optimal Observer (Kalman Filter)
  • Recursive Solution
  • Alternative Kalman Filter Formulation for Unknown Initial Conditions
  • Solved Problems
  • 11 Linear Quadratic Gaussian Control
  • Kalman-Bucy Filter
  • What Is LQG Control?
  • Optimal Cost Function for Stationary LQG
  • Solved Problems
  • 12 Project Examples
  • General Instructions
  • Project 1: Magnetic Levitation System Control
  • Project 2: Double Inverted Pendulum
  • Project 3: Bridge Crane Control
  • A Math Compendium
  • A Notation and Nomenclature
  • B Trigonometric Identities
  • C Complex Numbers
  • D Algebra
  • E Calculus
  • F Signals and Systems
  • G Linear Algebra
  • H Random Variables
  • References
  • Index.

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