Modern Linear Control Design

This compact introduction covers transient performance and stabilization via state or output feedback; disturbance attenuation and robust control; asymptotic regulation and disturbance rejection, Linear Matrix Inequalities and more. Includes MATLAB examples.

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

Autorentext
Paolo Caravani is an associate professor in the Department of Engineering and Information Sciences and Mathematics at the University of L'Aquila.

Inhalt

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.