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Truth in Modelling: Prejudice in Action

IFAC Proceedings Volumes 1994年第8期27卷 175-180页

作者： R.R. Bitmead S. Crisafulli A.G. Partanen C.R. Johnson Department of Systems Engineering and Cooperative Research Centre for Robust and Adaptive Systems Australian National University Canberra ACT 0200 Australia School of Electrical Engineering Cornell University Ithaca NY 14853 USA

This paper presents a collection of questions and a brief example directed towards the development of a methodology for the incorporation of a priori information (‘prejudice’ to some) into System Identification for the purpose of feedback control design. The route that we take is to follow through a sequence of questions which attempt to extract from the physical problem information which guides the selection of design parameters or choices. By concentrating on the external imposition of performance or model veracity measures, we hope to expose the wealth of unresolved issues associated with modelling for control, which are by-passed in more statistical modelling approaches based on finding the ‘true’ linear model from amongst the noise. While our title, tone and content might be deliberately provocative, our resort to procedures such as these in formulating practical model-based controllers, helps to vindicate our approach.

关键词： Identification for control a priori information modelling paradigms questionnaire

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Implementation issues for a nonlinear version of the Hansen scheme

Implementation issues for a nonlinear version of the Hansen ...

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Information, Decision and Control (IDC)

作者： F. De Bruyne B. Anderson N. Linard Department of Systems Engineering and Cooperative Research Centre for Robust and Adaptive Systems Research School of Information Sciences and Engineering Australian National University Canberra Australia

We propose a method for the identification of a nonlinear plant under possibly nonlinear feedback. This procedure is a nonlinear extension of a method known as the Hansen scheme in the literature. It is shown that using nonlinear left fractional descriptions one can convert a general nonlinear closed-loop identification problem to one of open-loop identification by parametrizing the model using a Youla-Kucera parameter. The open-loop problem can be implemented by parametrizing the nonlinear Youla parameter in terms of a model of the plant. We provide gradient expressions for implementation in a steepest descent algorithm.

关键词： robustness adaptive systems Nonlinear control systems 1f noise Noise figure Noise generators systems engineering and theory Feedback Linear systems Open loop systems

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On closed-loop identification with a tailor-made parametrization

On closed-loop identification with a tailor-made parametriza...

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American Control Conference (ACC)

作者： F. De Bruyne B.D.O. Anderson M. Gevers N. Linard Department of Systems Engineering and Cooperative Research Centre for Robust and Adaptive Systems RSISE Australian National University Canberra ACT Australia Adaptive Systems RSISE Department of Systems Engineering and Cooperative Research Centre for Robust Australian National University Canberra ACT Australia CESAME Centre for Systems Engineering and Applied Mechanics Université Catholique de Louvain Louvain-la-Neuve Belgium

We present gradient expressions for a closed-loop parametric identification scheme. The method is based on the minimization of a standard identification criterion and a parametrization that is tailored to the closed-loop configuration. It is shown that for both linear and nonlinear plants and controllers, the gradient signals can be computed exactly.

关键词： Nonlinear control systems Control systems systems engineering and theory Open loop systems Control design Linear systems Frequency estimation Transfer functions Computational modeling robust control

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Iterative feedback tuning with guaranteed stability

Iterative feedback tuning with guaranteed stability

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American Control Conference (ACC)

作者： F. de Bruyne L.C. Kammer Department of Systems Engineering and Cooperative Research Centre for Robust and Adaptive Systems Research School of Information Sciences and Engineering Australian National University Canberra ACT Australia

Presents an identification-based mechanism for introducing guaranteed stability when using a data-driven model-free iterative control design method known as iterative feedback tuning. Also, the use of unbiased estimat... 详细信息

关键词： Feedback Tuning Signal processing robust stability Iterative methods systems engineering and theory adaptive systems Control design adaptive control System performance

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Constrained MMSE Approach To Equalizer Design

Constrained MMSE Approach To Equalizer Design

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International Symposium on Signal Processing and Its Applications (ISSPA)

作者： S. Hasnie R.A. Kennedy R. Casas R. Johnson Telecommunications Engineering RSISE CRC for Robust & Adaptive Systems Australian National University Canberra ACT Australia School of Electrical Engineering Cornell University Ithaca NY USA

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Blind equalisation of IIR channels using hidden Markov models

Blind equalisation of IIR channels using hidden Markov model...

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IEEE International Symposium on Information Theory

作者： V. Krishnamurthy S. Dey J.P. LeBlanc Cooperative Research Center for Robust and Adaptive Systems Department of Systems Engineering Research School of Physical Sciences and Engineering Australian National University Canberra ACT Australia

A computationally inexpensive suboptimal blind equalization algorithm is presented for noisy IIR channels. It is based on combining a recursive hidden Markov model (HMM) estimator with a relaxed SPR (strictly positive real) extended least squares (ELS) scheme. Simulation studies show that the algorithm yields satisfactory results.< >

关键词： Blind equalizers Hidden Markov models Signal processing algorithms Yield estimation adaptive signal processing Recursive estimation robustness adaptive systems systems engineering and theory Physics computing

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robust stability theorems for nonlinear predictive control

Robust stability theorems for nonlinear predictive control

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IEEE Conference on Decision and Control

作者： G.J. Sutton B.R. Bitmead Cooperative Research Centre for Robust and Adaptive Systems Department of Systems Engineering Research School of Information Sciences and Engineering Australian National University Canberra ACT Australia

robust exponential stability of full state and observer feedback controlled systems is explored in the context of predictive control. The total stability theorem is used to ensure exponential stability via bounds on model, modelling error and control gain characteristics in two scenarios of differing complexities. Sufficient conditions are obtained to ensure an observed, nonlinear plant's state trajectory stays within a fixed distance of an exponentially stable, controlled, model state trajectory. These results have applications in predictive control, where model-based receding-horizon designs are used to yield robust solutions on the infinite-horizon.

关键词： robust stability Predictive control Control systems robust control Open loop systems Predictive models adaptive control Sufficient conditions Nonlinear control systems adaptive systems

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On Some Practical Issues in System Identification for the Windsurfer Approach to adaptive robust Control

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IFAC Proceedings Volumes 1994年第8期27卷 467-472页

作者： W.S. Lee B.D.O. Anderson I.M.Y. Mareels R.L. Kosut Department of Systems Engineering and Cooperative Research Centre for Robust and Adaptive Systems Australian National University Canberra ACT 0200 AUSTRALIA Integrated Systems Inc. 3260 Jay St. Santa Clara CA 95054 USA

In this paper we investigate some important issues in system identification for the windsurfer approach to robust adaptive control. In particular, correlation function estimates an Power spectrum estimates are compared as methods for model validation. This comparison leads us to suggest a reliable procedure for deciding (1) when should we identify a better model, and (2) whether we have identified a good model for our purposes.

关键词： adaptive control control system design identification model reference control robustness

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The extended H∞, filter - A robust EKF

The extended H∞, filter - A robust EKF

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Proceedings of the 1994 IEEE International Conference on Acoustics, Speech and Signal Processing. Part 2 (of 6)

作者： Einicke, Garry A. White, Langford B. Communications Division Defence Science and Technology Organisation P.O. Box 1500 SalisburySA5108 Australia Co-operative Research Centre for Robust and Adaptive Systems University of Adelaide Australia Department of Electrical and Electronic Engineering University of Adelaide Australia

The use of the extended Kalman filter (EKF) is heavily entrenched in non-linear signal processing applications. However linearisation errors inherent in the specification of an EKF can severely degrade its performance. This paper presents a new approach to the robus-tificanon of the EKF by application of the robust linear design methods based on the H∞ norm minimisation criterion. The results of simulations are presented to demonstrate an advantage for the demodulation of frequency and phase modulated signals. © 1994 IEEE.

关键词： Extended Kalman filters

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Change detection and its application to adaptive control

Change detection and its application to adaptive control

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American Control Conference (ACC)

作者： F. De Bruyne S. Dey Department of Systems Engineering and Cooperative Research Centre for Robust and Adaptive SystemsRSISE Australian National University Canberra ACT Australia

We investigate the feasibility of using hypothesis testing methods to supervise the switching in a multiple model approach to adaptive control.

关键词： adaptive control Programmable control robust control adaptive systems Performance analysis Switches systems engineering and theory System testing Stability Process control

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