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ÏßÐÔϵͳÀíÂÛºÍÉè¼Æ(Linear system theory and design) ×÷Õß: Chi-Tsong Chen ³ö°æÉç: Oxford University Press, USA; 3 edition (August 14, 1998) ÕâÊÇÒ»±¾½éÉÜÏÖ´ú¿ØÖƵÄÈëÃÅÊé, Ö÷Òª½²Êö״̬¿Õ¼äÃèÊö, ϵͳµÄÄÜ¿ØÐԺͿɹÛÐÔ, ״̬·´À¡¿ØÖÆ. Table of Contents Preface 1. Introduction 1.1. Introduction 1.2. Overview 2. Mathematical Descriptions of Systems 2.1. Introduction 2.2. Linear Systems 2.3. Linear Time-Invariant (LTI) Systems 2.4. Linearization 2.5. Examples 2.6. Discrete-Time Systems 3. Linear Algebra 3.1. Introduction 3.2. Basis, Representation, and Orthonormalization 3.3. Linear Algebraic Equations 3.4. Similarity Transformation 3.5. Diagonal Form and Jordan Form 3.6. Functions of a Square Matrix 3.7. Lyapunov Equation 3.8. Some Useful Formula 3.9. Quadratic Form and Positive 3.10. Singular Value Decomposition 3.11. Norms of Matrices 4. State-Space Solutions and Realizations 4.1. Introduction 4.2. Solution of LTI State Equations 4.3. Equivalent State Equations 4.4. Realizations 4.5. Solution of Linear Time-Varyubg (LTV) Equations 4.6. Equivalent Time-Varying Equations 4.7. Time-Varying Realizations 5. Stability 5.1. Introduction 5.2. Input-Output Stability of LTI Systems 5.3. Internal Stability 5.4. Lyapunov Theorem 5.5. Stability of LTV Systems 6. Controllability and Observability 6.1. Introduction 6.2. Controllability 6.3. Observability 6.4. Canonical Decomposition 6.5. Conditions in Jordan-Form Equations 6.6. Discrete-Time State Equations 6.7. Controllability After Sampling 6.8. LTV State Equations 7. Minimal Realizations and Coprime Fractions 7.1. Introduction 7.2. Implications of Coprimeness 7.3. Computing Coprime Fractions 7.4. Balanced Realization 7.5. Realizations From Markov Parameters 7.6. Degree of Transfer Matrices 7.7. Minimal Realizations- Matrix Case 7.8. Matrix Polynomial Fractions 7.9. Realization from Matrix Coprime Fractions 7.10. Realizations from Matrix Markov Parameters 7.11. Concluding Remarks 8. State Feedback and State Estimators 8.1. Introduction 8.2. State Feedback 8.3. Regulation and Tracking 8.4. State Estimator 8.5. Feedback from Estimated States 8.6. State Feedback-Multivariable Case 8.7. Sate Estimators-Multivariable Case 8.8. Feedback from Estimated States-Multivariable Case 9. Pole Placement and Model Matching 9.1. Introduction 9.2. Unity-Feedback and Configuration-Pole Placement 9.3. Implementable Transfer Functions 9.4. Multivariable Unity Feedback Systems 9.5. Multivariable Model Marching-Two-Parameter Configuration 9.6. Concluding Remarks References Answers to Selected Problems Index |
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Title: Techniques for Adaptive Control Author: Vance VanDoren Publisher: Butterworth-Heinemann Publication Date: 2002-06-18 Number Of Pages: 277 |

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