Linear System Theory and Design 4th Edition By Chi-Tsong Chen
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- 401
- File size
- 2.35 MB
- Format
- Digital PDF
- Course
- Education
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- eBook[PDF]
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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]
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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