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Linear System Theory and Design 4th Edition By Chi-Tsong Chen

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401
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2.35 MB
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About this ebook
The 4th Edition of Linear System Theory and Design by Chi-Tsong Chen provides a comprehensive, state-space focused approach to analyzing and designing multivariable linear control systems. [1, 2, 3]
The textbook is systematically structured into the following core topics across 9 chapters: [1, 2]
Foundational Concepts & Modeling
  • Introduction & History: An overview and brief historical context of linear system theory. [1]
  • Mathematical Description of Systems: Focuses on four major types of equations, transitioning from input-output descriptions to rational transfer functions and modern state-space equations. [1, 2]
  • Linear Algebra for Systems: Essential linear mathematics needed for system engineering, such as matrix computations, eigenvalues, and vectors. [1]
System Analysis
  • State-Space Solutions & Realization: Solving state-space equations, computer computation methods, real-time processing, and Single-Input Single-Output (SISO) realizations. [1, 2]
  • Stability Analysis: Evaluating bounded-input bounded-output (BIBO) stability and internal stability. [1]
  • Controllability and Observability: Assessing whether a system can be controlled or observed, using extensive applications of Lyapunov equations. [1, 2]
Advanced System Design
  • Minimal Realization & Coprime Factors: Coprime fraction descriptions and full system characterization.
  • State Feedback & State Estimation (Observer Design): Creating design laws to regulate system behavior using feedback and state estimators.
  • Pole Placement & Model Matching: Shifting eigenvalues to desired locations using a one-degree-of-freedom configuration and model matching using a two-degree-of-freedom configuration. [1, 2, 3, 4]
Modern Enhancements in the 4th Edition
  • MATLAB Integration: All computational exercises and control system design examples are fully updated using modern MATLAB and Simulink implementations.
  • Expanded Discrete-Time Systems: Enhanced discussion comparing continuous-time and discrete-time system behaviors.
  • Streamlined Polynomial Fraction Method: Equating structural polynomial fraction frameworks with simpler linear algebraic equation workflows. [1, 2, 3]

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