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Modern Linear Control Design [electronic resource] : A Time-Domain Approach / by Paolo Caravani.

By: Contributor(s): Material type: TextTextPublisher: New York, NY : Springer New York : Imprint: Springer, 2013Description: XI, 114 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781461469438
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 629.8 23
LOC classification:
  • TJ212-225
Online resources:
Contents:
Introduction to the Control Problem -- SIMO, x observed, w = 0 -- SISO, x unobserved, w = 0 -- MIMO, x observed, w = 0 -- MIMO, x unobserved, w = 0 -- MIMO, x observed, w 6= 0 unobserved, norm-bounded -- MIMO, x;w observed, w 6= 0 -- MIMO, x;w unobserved, w 6= 0 exogenously generated.
In: Springer eBooksSummary: This book offers a compact introduction to modern linear control design.  The simplified overview presented of linear time-domain methodology paves the road for the study of more advanced non-linear techniques. Only rudimentary knowledge of linear systems theory is assumed - no use of Laplace transforms or frequency design tools is required. Emphasis is placed on assumptions and logical implications, rather than abstract completeness; on interpretation and physical meaning, rather than theoretical formalism; on results and solutions, rather than derivation or solvability.  The topics covered include transient performance and stabilization via state or output feedback; disturbance attenuation and robust control; regional eigenvalue assignment and constraints on input or output variables; asymptotic regulation and disturbance rejection. Lyapunov theory and Linear Matrix Inequalities (LMI) are discussed as key design methods. All methods are demonstrated with MATLAB to promote practical use and comprehension.   ·         Provides a single-source, compact and practical introduction to modern linear control design, including fast and effective design methods; ·         Includes a state-of-the-art overview of time-domain linear methods; ·         Covers methods typically dispersed in numerous books, such as constraints on control variables, control robustness and the Asymptotic Regulation problem; ·         Uses examples from numerous application fields with solutions in MATLAB.
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Introduction to the Control Problem -- SIMO, x observed, w = 0 -- SISO, x unobserved, w = 0 -- MIMO, x observed, w = 0 -- MIMO, x unobserved, w = 0 -- MIMO, x observed, w 6= 0 unobserved, norm-bounded -- MIMO, x;w observed, w 6= 0 -- MIMO, x;w unobserved, w 6= 0 exogenously generated.

This book offers a compact introduction to modern linear control design.  The simplified overview presented of linear time-domain methodology paves the road for the study of more advanced non-linear techniques. Only rudimentary knowledge of linear systems theory is assumed - no use of Laplace transforms or frequency design tools is required. Emphasis is placed on assumptions and logical implications, rather than abstract completeness; on interpretation and physical meaning, rather than theoretical formalism; on results and solutions, rather than derivation or solvability.  The topics covered include transient performance and stabilization via state or output feedback; disturbance attenuation and robust control; regional eigenvalue assignment and constraints on input or output variables; asymptotic regulation and disturbance rejection. Lyapunov theory and Linear Matrix Inequalities (LMI) are discussed as key design methods. All methods are demonstrated with MATLAB to promote practical use and comprehension.   ·         Provides a single-source, compact and practical introduction to modern linear control design, including fast and effective design methods; ·         Includes a state-of-the-art overview of time-domain linear methods; ·         Covers methods typically dispersed in numerous books, such as constraints on control variables, control robustness and the Asymptotic Regulation problem; ·         Uses examples from numerous application fields with solutions in MATLAB.

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