G. Bierman

article

Techno-economic comparison of technologies for the concentration of a mixed leachant bleed stream

J.P. Brouwer, M.M.C. Alkemade, G. Bierman

Desalination > 1995 > 101 > 3 > 211-218

In a new hydrometallurgical process for recovery of lead from lead oxide secondaries, liquid effluence is minimized by jointly treating contaminated washing water and leachant bleed. To enable internal recycling of the leachant bleed and recover pure water, it is necessary to incorporate a concentration unit. In this paper different technologies for concentrating the mixed stream are compared. ...

article

A new computationally efficient fixed-interval, discrete-time smoother

G. Bierman

01981 00020th IEEE Conference on Decision and Control including the... > 1981 > 20 > 1054 - 1060

1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes

The Rauch-Tung-Streibel smoother recursion is used to derive a new smoother algorithm based upon a decomposition of the linear model dynamical equation and maximizing use of rank-1 matrix modification. This new algorithm, it turns out, parallels Bierman's forward recursive square-root information filter/ backward recursive U-D factorized covariance algorithm [5]. The new result features computational...

article

Efficient time propagation of U-D covariance factors

G. Bierman

01980 00019th IEEE Conference on Decision and Control including the... > 1980 > 19 > 383 - 384

1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes

Time propagation of the Kalman filter covariance matrix involves an operation of the form ?P?T where for many applications ? is a sparse transition matrix. When the filter implementation employs U-D covariance factorization (i.e., recursions for U and D are used, where P = UDUT with U unit upper triangular and D diagonal) the corresponding time propagation involves W = ?U. Both the ?P?T and ?U computations...

article

Navigation, Control, and Parameter Identification of an Unmanned Submersible

C. Ozimana, G. Bierman

OCEANS ' 00080 > 1980 > 172 - 180

OCEANS '80

This paper provides an overview of a new autonomous submersible, its existing navigation and control algorithms, and a proposed parameter-adaptive control structure. Design details of an extended Kalman filter, to be used for both state estimation and explicit parameter identification, are presented.

article

Seasat Orbit Refinement for Altimetry Calibration

S. Mohan, G. Bierman, N. Hamata, R. Stavert

OCEANS ' 00080 > 1980 > 535 - 540

OCEANS '80

This paper describes the use of stochastic differential correction models in refining the Seasat orbit based on post-flight analysis of tracking data. The objective is to obtain orbital-height precision that is commensurate with the inherent Seasat altimetry data precision level of 10 cms. Local corrections to a mean ballistic arc, perturbed principally by atmospheric drag variations and local gravitational...

article

A subroutine package for discrete estimation problems

G. Bierman

01978 IEEE Conference on Decision and Control including the 00017th... > 1978 > 17 > 39 - 44

1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes

In this paper we describe a well documented, compactly coded, storage efficient, thoroughly tested, and easy to use set of FORTRAN IV subroutines for use in Kalman filter or least-squares applications. The package contains both the UDUT covariance factorization and the square root information filter algorithms developed at the Jet Propulsion Laboratory. Numerical reliability of the algorithms is a...

article

Gram-Schmidt algorithms for covariance propagation

C. Thornton, G. Bierman

01975 IEEE Conference on Decision and Control including the 00014th... > 1975 > 14 > 489 - 498

1975 IEEE Conference on Decision and Control including the 14th Symposium on Adaptive Processes

This paper addresses the time propagation of triangular covariance factors. Attention is focused on the square-root free factorization, P = UDUT, where U is unit upper triangular and D is diagonal. An efficient and reliable algorithm for U-D propagation is derived which employs Gram-Schmidt orthogonalization. Partitioning the state vector to distinguish bias and colored process noise parameters increases...

article

A Comparison of Discrete Linear Filtering Algorithms

G. Bierman

IEEE Transactions on Aerospace and Electronic Systems > 1973 > AES-9 > 1 > 28 - 37

Seven filter algorithms were presented in a recent survey paper [2], and were compared computationally (operations count) when relatively few observations were to be processed. These algorithms are elaborated further in this paper. Details of the computations are presented, and it is shown that for problems with even moderately large amounts of data, the information matrix and square-root information...

article

The treatment of bias in the square-root information filter/smoother

G. Bierman

01973 IEEE Conference on Decision and Control including the 00012th... > 1973 > 12 > 632 - 639

1973 IEEE Conference on Decision and Control including the 12th Symposium on Adaptive Processes

The Dyer-McReynolds square root information filter (SRIF) is rederived, using recursive least squares arguments. The result is applied to a system composed partly of biases. The filter "sensitivity" matrix, "computed" covariance, and "consider" covariance for this augmented system are reviewed. A new computationally attractive representation for the smoothed estimates,...

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Search results for: G. Bierman

Techno-economic comparison of technologies for the concentration of a mixed leachant bleed stream

A new computationally efficient fixed-interval, discrete-time smoother

Efficient time propagation of U-D covariance factors

Navigation, Control, and Parameter Identification of an Unmanned Submersible

Seasat Orbit Refinement for Altimetry Calibration

A subroutine package for discrete estimation problems

Gram-Schmidt algorithms for covariance propagation

A Comparison of Discrete Linear Filtering Algorithms

The treatment of bias in the square-root information filter/smoother

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