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Computer Science
Control Systems
Control Systems
1. Introduction to Control Systems
2. Mathematical Foundations
3. Mathematical Modeling of Dynamic Systems
4. Time-Domain Analysis
5. Stability Analysis
6. Root Locus Method
7. Frequency-Domain Analysis
8. Control System Design
9. State-Space Analysis
10. State-Space Design
11. Digital Control Systems
12. Nonlinear Control Systems
13. Advanced Control Topics
State-Space Analysis
State-Space Representation
State Variables
State Vector
State Equations
State Equation
Output Equation
State-Space Model Forms
Controllable Canonical Form
Observable Canonical Form
Diagonal Form
Jordan Canonical Form
Conversion Between Representations
Transfer Function to State-Space
Direct Method
Partial Fraction Method
State-Space to Transfer Function
Formula Method
Block Diagram Method
Solution of State Equations
Homogeneous State Equation
State Transition Matrix
Definition and Properties
Calculation Methods
Laplace Transform Method
Matrix Exponential Method
Cayley-Hamilton Method
Non-Homogeneous State Equation
Complete Solution
Controllability and Observability
Controllability
Controllability Matrix
Controllability Test
Physical Interpretation
Observability
Observability Matrix
Observability Test
Physical Interpretation
Duality Principle
Canonical Forms
Controllable Canonical Form
Observable Canonical Form
Diagonal Canonical Form
Jordan Canonical Form
Transformation Between Forms
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10. State-Space Design