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Journal ArticleDOI

Control system design and analysis using closed-loop Nyquist and Bode arrays

J. M. Edmunds
- 01 Nov 1979 - 
- Vol. 30, Iss: 5, pp 773-802
TLDR
In this article, a method is described for designing linear multivariable control schemes which have a closed-loop frequency response as close as possible, in a least squares sense, to a desired response.
Abstract
In this paper a method is described for designing linear multivariable control schemes which have a closed-loop frequency response as close as possible, in a least squares sense, to a desired response. After using characteristic gain loci to ensure system stability, the closed-loop Bode array gives easily understood information about the controlled system in terms of bandwidth, speed of response, resonance and interaction. The closed-loop Nyquist array indicates the robustness of the control scheme for sensor failures ; it also indicates the extent to which state and input noise will be suppressed, since the feedback just multiplies the open-loop disturbances by a unit matrix minus the closed-loop frequency response. Bands of Gershgorin and Ostrowski circles are used to indicate the behaviour for changes in the characteristics of more than one sensor at a time. A similar frequency-response array, obtained by breaking the feedback loops next to the actuators instead of next to the sensors, can be used to p...

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Citations
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Proceedings ArticleDOI

A convergent iterative restricted complexity control design scheme

TL;DR: In this article, an optimization approach to the design of a restricted complexity controller is proposed, where the design criterion is of LQG type containing two terms: the first term is the quadratic norm of the error between the output of the true closed loop and a desired response.
Journal ArticleDOI

Principal gains and principal phases in the analysis of linear multivariable feedback systems

TL;DR: In this article, the concept of principal gain and principal phase were introduced for linear multivariable systems, and their use in the analysis of feedback behavior was demonstrated, and a sufficient Nyquist-type stability criterion was presented in terms of these quantities and used to characterize the robustness of the closed-loop stability property when the system model is subjected to a linear perturbation (either multiplicative or additive) at any point in the feedback configuration.
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Linear, parameter‐varying control and its application to a turbofan engine

TL;DR: In this article, three linear, parameter-varying (LPV) approaches to control design of a turbofan engine are discussed. But, the time variation of each of the parameters is not known in advance, but is assumed to be measurable in real-time.
Journal ArticleDOI

Global stability and performance of a simplified adaptive algorithm

TL;DR: In this article, the authors prove global stability for a simple adaptive algorithm that can use low-order model reference and controllers, since no observers or identifiers are used in the adaptation process.
References
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Book

Computer-Aided Control System Design

TL;DR: Computer-aided control system design, Computer- aided control systems design, and more.
Journal ArticleDOI

A design technique for linear multivariable feedback systems

TL;DR: A systematic approach is developed for the design of linear multivariable feedback control systems based on a manipulation of the set of frequency-conscious eigenvalues and eigenvectors of an open-loop transfer-function matrix using an approximately-commutative controller.
Journal ArticleDOI

Survey paper: A survey of some recent results in linear multivariable feedback theory

TL;DR: In this paper, a review of multivariable feedback system design techniques from the frequency-response viewpoint is given, including a comparison of the advantages and disadvantages of each type of design method, including Non-Interacting Control, Modal Control, Optimal Control, Commutative Control, The Inverse Nyquist Array and The Characteristic Locus.
Journal ArticleDOI

Cambridge Linear Analysis and Design Programs

TL;DR: A set of interactive computer programs which can be used to aid in the analysis of the dynamic behaviour of linear multivariable systems with main emphasis on frequency response methods including Nyquist and Bode arrays, closed-loop Nyquistand boae arrays, characteristic gain loci and generalised root loci.
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