## 주메뉴

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공학 >전기ㆍ전자 >전자공학
• 강의학기
2016년 2학기
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1,275
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강의계획서 The basic idea of linear systems theory and modern control engineering.

#### 차시별 강의      1. Introduction 1. Introduction 2. Overview  Introduction 1. Introduction 2. Overview 2. Review of automatic control 1. Transfer function 2. Stability 3. Root locus 4. Frequency response  Review of automatic control 1. Transfer function 2. Stability 3. Root locus 4. Frequency response 3. Mathematical Descriptions of Systems I 1. Introduction 2. Causality, Lumpedness, and Time-Invariance 3. Linear Time-Invariant (LTI) Systems 4. Linear Time-Varying Systems 5. RLC circuits--Comparisons of Various Descripti  Mathematical Descriptions of Systems I 1. Introduction 2. Causality, Lumpedness, and Time-Invariance 3. Linear Time-Invariant (LTI) Systems 4. Linear Time-Varying Systems 5. RLC circuits--Comparisons of Various Descripti 4. Mathematical Descriptions of Systems II 1. Mechanical and Hydraulic Systems 2. Proper Rational Transfer Functions 3. Discrete-Time Linear Time-Invariant Systems  Mathematical Descriptions of Systems II 1. Mechanical and Hydraulic Systems 2. Proper Rational Transfer Functions 3. Discrete-Time Linear Time-Invariant Systems 5. Linear Algebra I 1. Introduction 2. Basis, Representation, and Orthonormalization 3. Linear Algebraic Equations 4. Similarity Transformation 5. Diagonal Form and Jordan Form 6. Linear Algebra II 1. Functions of a Square Matrix 2. Lyapunov Equation 3. Some Useful Formula 4. Quadratic Form and Positive Definiteness 5. Singular Value Decomposition 6. Norms of Matrices 7. State-Space Solutions and Realizations 1. Introduction 2. General Solution of CT LTI State-Space Equations 3. Computer Computation of CT State-Space Equations 4. Equivalent State Equations 5. Realizations 6. Solution of Linear Time-Varying (LTV) Equations 7, Equivalent Time-Varying Equations 8. Time-Varying Realizations 8. Stability 1. Introduction 2. Input-Output Stability of LTI Systems 3. Discrete-Time Case 4. Internal Stability 5. Lyapunov Theorem 6. Stability of LTV Systems 9. Controllability and Observability I 1. Introduction 2. Controllability 3. Observability 4. Canonical Decomposition 10. Controllability and Observability II 1. Conditions in Jordan-Form Equations 2. Discrete-Time State-Space Equations 3. Controllability After Sampling 4. LTV State-Space Equations 11. Minimal Realizations and Coprime Fractions 1. Introduction 2. Implications of Coprimeness 3. Computing Coprime Fractions 4. Balanced Realization 5. Realizations from Markov Parameters 6. Degree of Transfer Matrices 7. Minimal Realizations- Matrix Case 8. Matrix Polynomial Fractions 9. Realization from Matrix Coprime Fractions 12. State Feedback and State Estimators 1. Introduction 2. State Feedback 3. Regulation and Tracking 4. State Estimator 5. Feedback from Estimated States 6. State feedback--MIMO case 7. State Estimators--MIMO case 8. Feedback from Estimated States-MIMO Case 13. Pole Placement and Model Matching 1.- Introduction 2. Preliminary--Matching Coefficients 3. Unity-Feedback Configuration-Pole Placement 4. Implementable Transfer Functions 5. MIMO Unity Feedback Systems 6. MIMO Model Matching--Two-Parameter Configuration #### 연관 자료 #### 사용자 의견 #### 이용방법

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