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Analysis and Synthesis of Feedback Control Systems in the Parameter Plane I-Linear Continuous Systems

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TLDR
A general and unique approach to the analysis and synthesis of control systems in the parameter plane is presented which may be advantageously applied to the design of linear continuous systems, sampled-data systems, nonlinear systems, and systems with distributed parameters.
Abstract
A general and unique approach to the analysis and synthesis of control systems in the parameter plane is presented which may be advantageously applied to the design of linear continuous systems, sampled-data systems, nonlinear systems, and systems with distributed parameters This paper is concerned with the application of the method to linear continuous systems As a simple and rapid procedure for factoring characteristic polynomials in the parameter plane, the proposed method permits the designer to maintain control over salient characteristics of both transient and frequency responses The introduction of the Chebyshev functions greatly facilitates the procedure and makes it suitable for simulation on either analog or digital computers In the design procedure, all graphical and analytical operations are performed in the real domain

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Journal ArticleDOI

Stability regions in the parameter space: D-decomposition revisited

TL;DR: This work investigates the geometry of D-decomposition for polynomials and estimates the number of root invariant regions in the matrix case, i.e. for MIMO systems and links it with general M-@D framework.
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D-decomposition technique state-of-the-art

TL;DR: It is shown that the D-decomposition technique can be naturally linked with M-Δ framework (a general scheme for analysis of uncertain systems) and it is applicable for describing feasible sets for linear matrix inequalities.
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Control system analysis and design using a parameter space method

TL;DR: A method of describing a system in parameter space is presented and can be applied to the analysis and design of high-order control systems with multiple variable or adjustable parameters.
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Generalization of Hurwitz, Nyquist, and Mikhailov stability criteria

TL;DR: In this article, a generalization of Hurwitz, Nyquist, and Mikhailov stability criteria for linear-feedback systems is presented, which greatly simplify the analysis procedure and make it convenient for computer applications.
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Stability of linear systems with transport lag

TL;DR: In this article, the absolute and relative stability of linear control systems containing transport lag or distributed lag can be determined using a variation of the generalized parameter plane technique as developed by D. D. Siljak and all results are in terms of two free system parameters.
References
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Journal Article

Regeneration theory

TL;DR: In this paper, the theory of stability of transducer-based amplifiers has been investigated for the 21-circuit test of balance, in which the current due to the unbalance between two impedances is fed back, the gain being increased until singing occurs.
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Ueber die Bedingungen, unter welchen eine Gleichung nur Wurzeln mit negativen reellen Theilen besitzt

TL;DR: Auf Veranlassung meines verehrten Kollegen, Herrn A. Stodola, beschaftigte ich mich vor einiger Zeit mit der Frage, wann eine Gleichung n ten Grades with reelle Koeffizienten ist negativ sind as discussed by the authors.
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Graphical Analysis of Control Systems

TL;DR: In this article, a simple position follow-up system is considered for convenience although the method is applicable in the same form for higher order systems or those in which only empirical frequency data is known.
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Control system performance measures: Past, present, and future

TL;DR: The trend for future emphasis appears to be in applications of statistical concepts and in attacking the problem of choice of the error measure in the adaptive system.
Journal ArticleDOI

Generalization of Mitrovic's Method

TL;DR: The generalization provides a general graphical method for synthesis of linear systems, which can be applied whenever it is required to examine how the zeros of an algebraic equation are affected by a change in its coefficients.
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