Modern Linear Control Design [electronic resource] : A Time-Domain Approach / by Paolo Caravani.
Material type: TextPublisher: New York, NY : Springer New York : Imprint: Springer, 2013Description: XI, 114 p. online resourceContent type:- text
- computer
- online resource
- 9781461469438
- 629.8 23
- TJ212-225
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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