β Scribed by Yih Tsong Tsay, Leang -San Shieh, Stephen Barnett (eds.)
No coin nor oath required. For personal study only.
The purpose of this research monograph is to utilize algebraic and systems theory for the structure analysis and design of multivariable control systems described by state-space representations and matrix fraction descriptions. A unified approach characterizing the dynamics of a system through the formulation of the characteristic -matrix of the system is presented. The latent structures, solvents, divisors, and spectral factors of the non-singular characteristic -matrix and their relationships with the respesctive counterparts of the state-space representations are explored. Applications in model reduction, pole assignment design, modal control design for multivariable systems, parallel realizations and cascade realizations of multiport networks are illustrated. Computational algorithms and illustrative numerical examples are presented throughout the monograph. The reader is assumed to have a graduate level background in modern control theory.
Introduction....Pages 1-11
Characteristic Ξ»-matrices and canonical matrix fraction descriptions of MIMO systems....Pages 12-38
Spectral analysis of nonsingular Ξ»-matrices....Pages 39-73
Divisiors and spectral factors of nonsingular Ξ»-matrices....Pages 74-122
Feedback control of multivariable systems....Pages 123-153
Structural decomposition theories and applications in multivariable control systems....Pages 154-199
Control Engineering;Appl.Mathematics/Computational Methods of Engineering;Civil Engineering
π SIMILAR VOLUMES
Multivariable control techniques solve issues of complex specification and modelling errors elegantly but the complexity of the underlying mathematics is much higher than presented in traditional single-input, single-output control courses. Multivariable Control Systems focuses on control design wit
<p><P>Multivariable control techniques solve issues of complex specification and modelling errors elegantly but the complexity of the underlying mathematics is much higher than presented in traditional single-input, single-output control courses.</P><P><EM>Multivariable Control Systems</EM> focuses
Multivariable control techniques solve issues of complex specification and modelling errors elegantly but the complexity of the underlying mathematics is much higher than presented in traditional single-input, single-output control courses. Multivariable Control Systems focuses on control design wit