MARC Record from Library of Congress

LEADER: 05380cam a2200337 i 4500
001 2012034220
003 DLC
005 20130928080053.0
008 121119s2013 nyua b 001 0 eng
010 $a 2012034220
020 $a9780199959570 (hardback : acid-free paper)
040 $aDLC$beng$cDLC$erda$dDLC
042 $apcc
050 00 $aQA402$b.C44 2013
082 00 $a629.8/32$223
084 $aTEC008000$2bisacsh
100 1 $aChen, Chi-Tsong.
245 10 $aLinear system theory and design /$cChi-Tsong Chen, Stony Brook University.
250 $aFourth edition.
264 1 $aNew York :$bOxford University Press,$c[2013]
300 $axiii, 386 pages :$billustrations ;$c24 cm.
336 $atext$2rdacontent
337 $aunmediated$2rdamedia
338 $avolume$2rdacarrier
490 0 $aThe Oxford series in electrical and computer engineering
520 $a"Striking a balance between theory and applications, Linear System Theory and Design, Fourth Edition, uses simple and efficient methods to develop results and design procedures that students can readily employ. Ideal for advanced undergraduate courses and first-year graduate courses in linear systems and multivariable system design, it is also a helpful resource for practicing engineers. NEW TO THIS EDITION All examples using MATLAB have been updated using the R2011a version Chapter 1 provides a brief history and overview of the subject Chapter 2 has been restructured in order to discuss four types of equations and to give reasons for focusing on rational transfer functions and state-space equations Chapter 4 includes a new section on SISO realizations and expanded discussions of computer computation and real-time processing of state-space equations Chapter 7 includes a new section on complete characterization SUPPLEMENTS Companion website at www.oup.com/us/chen contains PowerPoint-based versions of the figures from the text (available to adopters of the text) An Instructor's Solutions Manual is available to adopters"--$cProvided by publisher.
520 $a"Linear System Theory and Design is for use in advanced undergraduate/first-year graduate courses in linear systems and multivariable system design in electrical, mechanical, chemical, and aeronautical engineering departments"--$cProvided by publisher.
505 8 $aMachine generated contents note: -- Preface -- 1. Introduction -- 1.1. Introduction -- 1.2. Overview -- 2. Mathematical Descriptions of Systems -- 2.1. Introduction -- 2.2. Causality, Lumpedness, and Time-Invariance -- 2.3. Linear Time-Invariant (LTI) Systems -- 2.4. Linear Time-Varying Systems -- 2.5. RLC circuits--Comparisons of Various Descriptions -- 2.6. Mechanical and Hydraulic Systems -- 2.7. Proper Rational Transfer Functions -- 2.8. Discrete-Time Linear Time-Invariant Systems -- 2.9. Concluding Remarks -- 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 Definiteness -- 3.10. Singular Value Decomposition -- 3.11. Norms of Matrices -- 4. State-Space Solutions and Realizations -- 4.1. Introduction -- 4.2. General Solution of CT LTI State-Space Equations -- 4.3. Computer Computation of CT State-Space Equations -- 4.4. Equivalent State Equations -- 4.5. Realizations -- 4.6. Solution of Linear Time-Varying (LTV) Equations -- 4.7. Equivalent Time-Varying Equations -- 4.8. Time-Varying Realizations -- 5. Stability -- 5.1. Introduction -- 5.2. Input-Output Stability of LTI Systems -- 5.3. Discrete-Time Case -- 5.4. Internal Stability -- 5.5. Lyapunov Theorem -- 5.6. 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-Space Equations -- 6.7. Controllability After Sampling -- 6.8. LTV State-Space 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--MIMO case -- 8.7. State Estimators--MIMO case -- 8.8. Feedback from Estimated States--MIMO Case -- 9. Pole Placement and Model Matching -- 9.1. Introduction -- 9.2. Preliminary--Matching Coefficients -- 9.3. Unity-Feedback Configuration-Pole Placement -- 9.4. Implementable Transfer Functions -- 9.5. MIMO Unity Feedback Systems -- 9.6. MIMO Model Matching--Two-Parameter Configuration -- 9.7. Concluding Remarks -- References -- Answers to Selected Problems -- Index.
650 0 $aLinear systems.
650 0 $aSystem design.
650 7 $aTECHNOLOGY & ENGINEERING / Electronics / General.$2bisacsh