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4TH IFAC Symposium on Adaptive Systems in Control and Signal Processing 1992

作者： LEVER, KV DEF SCI & TECHNOL ORG ELECTR RES LABSALISBURYSA 5108AUSTRALIA

ISBN: (纸本)0080417175

This paper explains the inadequacies due to ill-conditioning of classical recursive least squares signal estimation algorithms based on Taylor series expansions, then shows how the algorithms may be restructured using orthogonal expansions, at little cost in extra complexity, to provide well-conditioned versions suitable for implementation in a variety of digital signal processing applications. Several open questions are posed, mainly connected with the incorporation of signal windowing to provide smoothing filters.

关键词： LEAST-SQUARES ESTIMATION recursive algorithms WELL-CONDITIONING

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SIMULTANEOUS PARAMETER TRACKING AND STATE ESTIMATION IN A LINEAR-SYSTEM

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AUTOMATICA 1993年第4期29卷 1041-1052页

作者： HAVLENA, V KYOTO UNIV DEPT ELECT ENGN 2 KYOTO 606 JAPAN

The task of simultaneous tracking of time-varying parameters and estimation of the state is treated for a linear system described by a time-varying input-output ARMAX or Delta model with known c (noise) parameters. First, a Bayesian approach-based conceptual solution is presented. Then it is shown that utilizing the properties of the observer canonical state model, algebraic recursion operating on the joint parameter and state mean and covariance matrix can be obtained with no approximation involved. Several illustrative examples are included.

关键词： ADAPTIVE SYSTEMS KALMAN FILTERS PARAMETER ESTIMATION STATE ESTIMATION recursive algorithms COMPUTATIONAL METHODS

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LINEARIZATION OF MANIPULATOR DYNAMICS USING SPATIAL OPERATORS

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IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS 1993年第1期23卷 239-248页

作者： JAIN, A RODRIGUEZ, G Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA

Linearized dynamics models for manipulators are useful in robot analysis, motion planning, and control applications. Techniques from the spatial operator algebra are used to obtain closed form operator expressions for two types of linearized dynamics models, the linearized inverse and forward dynamics models. Spatially recursive algorithms of O(n) and O(n2) complexity for the computation of the perturbation vector and coefficient matrices for the linearized inverse dynamics model (LIDM) are developed first. Subsequently, operator factorization and inversion identities are used to develop corresponding closed-form expressions for the linearized forward dynamics model (LFDM). Once again, these are used to develop algorithms of O(n) and O(n2) complexity for the computation of the perturbation vector and the coefficient matrices. The algorithms for the LFDM do not require the explicit computation of the mass matrix nor its numerical inversion and are also of lower complexity than the conventional O(n3) algorithms.

关键词： mass matrix perturbation recursive algorithms Coefficient Matrix algorithms dynamics arithmetic operator

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recursive TEMPORAL-SPATIAL INFORMATION FUSION WITH APPLICATIONS TO TARGET IDENTIFICATION

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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 1993年第2期29卷 435-445页

作者： HONG, L LYNCH, A HQ AFLC ENIWRIGHT PATTERSON AFBOH 45433

In this paper, centralized/distributed recursive algorithms for temporal-spatial information integration using the Dempster-Shafer technique are developed. Compared with the Bayesian approach, the Dempster-Shafer technique has the strong capability of handling information uncertainties which is especially desired in many applications. In the centralized integration algorithm, all information is pooled into the central processor and integrated. In contrast, the distributed integration algorithm shares the computational burden among the local processors, which increases the computational efficiency The developed algorithms are effectively applied to a target identification problem with three sensors: identification of friend-foe-neutral (IFFN), electronic support measurement (ESM), and infrared search and track (IRST).

关键词： PROCESSOR recursive algorithms Information fusion ELECTRONIC SUPPORT MEASURES Target recognition recursive integral algorithm

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ADAPTIVE EQUALIZATION OF DIGITAL LINE-OF-SIGHT RADIO SYSTEMS

ADAPTIVE EQUALIZATION OF DIGITAL LINE-OF-SIGHT RADIO SYSTEMS

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4TH IFAC Symposium on Adaptive Systems in Control and Signal Processing 1992

作者： SARI, H SOC ANONYME TELECOMMUN F-75626 PARIS 13FRANCE

ISBN: (纸本)0080417175

This paper gives a state-of-the-art review of adaptive channel equalization in digital line-of-sight radio systems employing bandwidth-efficient modulation techniques. A particular emphasis is placed on decision-feedback equalizer (DFE) implementation and performance in the presence of nonminimum-phase fading. Stability problems of fractionally-spaced equalizers (FSE's) are discussed, and a newly developed adaptation technique is outlined. We also discuss the blind adaptation algorithms that are used to reduce outage by preventing the equalizer coefficients to diverge during severe fade events and carrier synchronism loss. Finally, we discuss further issues related to asymmetric equalizers and to the interaction of the equalizer adaptation algorithm with the carrier recovery loop.

关键词： ADAPTIVE SYSTEMS ADAPTIVE EQUALIZATION DATA TRANSMISSION DIGITAL RADIO SYSTEMS FADING CHANNELS NYQUIST CRITERION recursive algorithms

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CONSISTENCY AND MINIMALITY FOR THE PREWINDOWED PREDICTION-PROBLEM

CONSISTENCY AND MINIMALITY FOR THE PREWINDOWED PREDICTION-PR...

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4TH IFAC Symposium on Adaptive Systems in Control and Signal Processing 1992

作者： REGALIA, PA INST NATL TELECOMMUN DEPT ELECTR & COMMUNF-91011 EVRYFRANCE

ISBN: (纸本)0080417175

The issues of consistency and minimal parametrization of the prewindowed prediction problem are presented in detail. The paper establishes an equivalence class between the set of p×p symmetric, positive definite matrices P and the set of 2×1 stable causal all-pass functions η_p(z) or McMillan degree p. The minimal parametrization of such matrices P is obtained by parametrizing η_p(z), resulting in an inherently consistent parametrization. The application to numerically stable fast least-squares filtering is highlighted.

关键词： LEAST-SQUARES ESTIMATION STABILITY OF NUMERICAL METHODS ADAPTIVE SYSTEMS PREDICTION THEORY recursive algorithms

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TOWARDS REAL-TIME IMPLEMENTATION OF BAYESIAN PARAMETER-ESTIMATION

TOWARDS REAL-TIME IMPLEMENTATION OF BAYESIAN PARAMETER-ESTIM...

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4TH IFAC Symposium on Adaptive Systems in Control and Signal Processing 1992

作者： KULHAVY, R NAGY, I SPOUSTA, J UMIST CTR CONTROL SYSTMANCHESTER M60 1QDENGLAND

ISBN: (纸本)0080417175

The paper describes a recent progress in searching for credible, well-grounded approximation of recursive Bayesian parameter estimation which would make the Bayesian paradigm feasible for a class of nonstandard (non-linear and/or non-Gaussian) models. The presented method is based on maximum-entropy approximation of the empirical distribution of data while just a reduced (non-sufficient) data statistic is available. The statistic is chosen so to induce an equivalence relation on the set of posterior probability distributions which is compatible with the Bayes-rule action. The approximating posterior density of unknown parameters is given by the standard Bayes-rule transformation of the approximating distribution of data. Numerical implementation of the general algorithm is considered using its discrete version or prior approximation of critical steps.

关键词： PARAMETER ESTIMATION SAMPLED DATA SYSTEMS BAYESIAN STATISTICS recursive algorithms APPROXIMATION THEORY MAXIMUM ENTROPY

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Control of pH in a Continuous Stirred Tank Reactor (CSTR)

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IFAC Proceedings Volumes 1993年第2期26卷 115-126页

作者： R. Tyagi E.J. Davison Department of Test Engineering Northern Telecom Canada Ltd. 8200 Dixie Road Brampton Ontario Canada L6V 2M6 Department of Electrical Engineering University of Toronto Toronto Canada M5S 1A4

The pH control problem in a continuous stirred tank reactor is studied from both atheoretical and application point of view. A reaction invariant model for an acid-base system, which is one of the most complete descriptions for the pH control problem, is utilized. The new controller obtained for the pH control problem is based on a linearization technique and requires that some steady-state experilnents be carried out on the process, before a controller implementation can be achieved. The proposed controller has been applied toa 6th order nonlinear simulation model of a pH process for the case of:(i) time-varying input feed pH concentrations and buffer concentrations,(ii) set-point reference input changes for the desired pH output. Based on the results of these simulations, the controller appears to be quite effective;in particular it gives significant improvements in the response compared to existing controllers proposed in the literature

关键词： pH control control nonlinearities deadbeat control discrete nonlinear systems recursive algorithms state feedback time varying systems linearization technique

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Identification of Structure and Parameters of the Multivariable Systems

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IFAC Proceedings Volumes 1993年第2期26卷 327-329页

作者： D.W. Hu Department of Automatic Control Changsha Institute of Technology Changsha Hunan 410073 PRC

The identification of the ARMAX model and the state space model of the multivariable system is investigated in the presence of coloured noise. Firstly. the optimal input vector design is introduced to identify the Markov parameter matrices. Secondly. in the description of the multi-dimensional ARMAX model. an order recursive algorithm is presented for estimating the order and the parameter matrices of the ARMAX model using the estimated Markov matrices. The aymptotic biases are compensated to achieve higher identification precision. Furthermore. the autocorrelation function matrices of the observation noise are estimated. Finally. the recursive algorithm of the identification of the Kronecker structure invariants and the parameters of the state space model of the multivariable system is suggested.

关键词： Identificatoin multivariable systems canonical forms parameter estimation recursive algorithms Kronecker invariants Markov parameter matrices

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Discretization and Continualization of MIMO Systems

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IFAC Proceedings Volumes 1993年第2期26卷 625-628页

作者： S. Bingulac H.F. Vanlandingham Kuwait University Department of Electrical and Computer Engineering POB 5969 13060 - Safat Kuwait Virginia Polytechnic Institute and State University Electrical Engineering Blacksburg VA 24061-0111 USA

New numerically robust algorithms are presented for converting linear continuous-time constant-parameter state models into equivalent discrete-time state models ( discretization ) as well as the reverse problem of determining continuous-time models to represent given discrete-time models ( continualization ). Two methods of discretizing linear uniformly sampled systems have been considered for their utility in computer-aided design. These methods are the standard zero-order hold method which assumes that inputs are held constant at their previous sample value for the duration of the sample interval, and a method which assumes that the inputs are linearly interpolated between samples.

关键词： Modeling recursive algorithms discrete time systems state-space methods computer programming computer-aided design

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