Modern Control Engineering Automation and Control Engineering Series
Langue : Anglais
Auteur : Paraskevopoulos P.N.
"Illustrates the analysis, behavior, and design of linear control systems using classical, modern, and advanced control techniques. Covers recent methods in system identification and optimal, digital, adaptive, robust, and fuzzy control, as well as stability, controllability, observability, pole placement, state observers, input-output decoupling, and model matching."
Introduction to automatic control systems; mathematical background; mathematical models of systems; classical time-domain analysis of control systems; state-space analysis of control systems; stability; the root locus method; frequency domain analysis; classical control design methods; state-space design methods; optimal control; digital control; system identification; adaptive control; robust control; fuzzy control. Appendices: Laplace transform tables; the Z-transform; transform tables.
Professional
Margot Sunderland, Nicky Armstrong
Date de parution : 11-2001
Ouvrage de 736 p.
17.8x25.4 cm
Thèmes de Modern Control Engineering :
Mots-clés :
Closed Loop System; control system modeling; Open Loop Transfer Function; Laplace transform; Kharitonov’s Theorem; proportional-integral-derivative controllers; Left Half Complex Plane; matrix theory; Kharitonov Polynomials; automatic control systems; Phase Lead Controller; Characteristic Polynomial; Nyquist Diagram; Steady State Error; Bode Diagrams; Phase Margin; Liquid Level Control System; Open Loop System; Unit Step Response; Nichols Diagrams; Algebraic Criteria; Routh Array; Membership Function; Interval Polynomial; Pi Controller; Multiplicative Uncertainty; Fuzzy Controller; Robust Stability; Root Locus
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