MTU Cork Library Catalogue

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Fundamentals of linear state space systems / John S. Bay.

By: Bay, John S.
Material type: materialTypeLabelBookPublisher: Boston : WCB/McGraw-Hill, c1999Description: xviii, 571 p. : ill. ; 25 cm. + hbk.ISBN: 0256246394.Subject(s): Linear systems | State-space methodsDDC classification: 003.74
Contents:
Part I: Mathematical Introduction to State Space -- Models of Linear Systems 3 -- Vectors and Vector Spaces 45 -- Linear Operators on Vector Spaces 93 -- Eigenvalues and Eigenvectors 147 -- Functions of Vectors and Matrices 195 -- Part II: Analysis and Control of State Space Systems -- Solutions to State Equations 229 -- System stability 269 -- Controllability and Observability 311 -- System Realizations 367 -- State Feedback and Observers 405 -- Introduction to Optimal Control and Estimation 457.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 003.74 (Browse shelf(Opens below)) 1 Available 00075561
Total holds: 0

Enhanced descriptions from Syndetics:

This text uses the geometric intuition provided by vector space analysis to develop in a sequential manner the essential topics in linear state system theory that an undergraduate student will study. Examples used are drawn from several areas of engineering.

Includes bibliographical references and index.

Part I: Mathematical Introduction to State Space -- Models of Linear Systems 3 -- Vectors and Vector Spaces 45 -- Linear Operators on Vector Spaces 93 -- Eigenvalues and Eigenvectors 147 -- Functions of Vectors and Matrices 195 -- Part II: Analysis and Control of State Space Systems -- Solutions to State Equations 229 -- System stability 269 -- Controllability and Observability 311 -- System Realizations 367 -- State Feedback and Observers 405 -- Introduction to Optimal Control and Estimation 457.

Table of contents provided by Syndetics

  • 1 Models of Linear Systems
  • 2 Vectors and Vector Spaces
  • 3 Linear Operators on Vector Spaces
  • 4 Eigenvalues and Eigenvectors
  • 5 Functions of Vector Matrices
  • 6 Solutions to State Equations
  • 7 System Stability
  • 8 Controllability and Observability
  • 9 System Realizations 10 State Feedback and Observers
  • 11 Introduction to Optimal Control and Estimation
  • A Mathematical Tables and Identities
  • B MATLAB Command Summaries

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