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Design of Modern Control Systems - IET Digital Library

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Contents<br />

Preface<br />

1 State-space theory 1<br />

1.1 Introduction 1<br />

1.2 <strong>Control</strong>ability and observability 2<br />

1.3 Standard forms<br />

1.4 Calculation <strong>of</strong> transfer function<br />

matrix 9<br />

1.5 Realizations 11<br />

1.6 Inverse <strong>Systems</strong> 14<br />

References 15<br />

Problems 17<br />

2 Complex variable methods in feedback<br />

<strong>Systems</strong> analysis and design 18<br />

2.1 Introduction 18<br />

2.2 Generalized Nyquist and root-locus<br />

diagrams 19<br />

2.2.1 Characteristic frequencies and<br />

characteristic gains 23<br />

2.2.2 Generalized Nyquist diagrams and<br />

generalized Nyquist stability<br />

criterion 24<br />

2.2.3 Multivariable root loci 25<br />

2.2.4 Conformal nature <strong>of</strong> mapping between<br />

frequency and gain 25<br />

2.3 Zeros 27<br />

2.3.1 Restriction <strong>of</strong> operator in domain<br />

and range 29<br />

2.3.2 Spectral characterisation <strong>of</strong> Zeros 30<br />

2.3.3 Finite zeros when D is non-zero 30<br />

2.4 Bi-linear transformation <strong>of</strong><br />

frequency and gain variables 31<br />

2.5 Geometric theory <strong>of</strong> root locus and<br />

Nyquist diagrams 32<br />

2.6 Angles <strong>of</strong> arrival at zeros and<br />

angles <strong>of</strong> departure from poles 35<br />

2.7 Properties <strong>of</strong> Nyquist and root locus<br />

diagrams for optimal feedback systems 37<br />

2.8 <strong>Design</strong> techniques 38<br />

2.9 Conclusions 40<br />

References 41

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