Showing papers by "John B. Moore published in 1971"
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TL;DR: In this article, a new approach to the optimization of the linear, possibly time-varying, system [email protected] = Fx + Gu |u"i| @? 1 with respect to the performance index V = @!^t^"^1"t"""0x'Qxdt.
55 citations
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01 Apr 1971
TL;DR: It is shown that the Kalman-Bucy filter is constructible knowing precisely those covariances required to construct a Wiener filter, and no more, and that the filter is independent of the particular models of the processes generating these Covariances.
Abstract: The notion is exploded that to build a Kalman-Bucy filter, one needs to know the whole structure of the signal generating process. It is shown that the filter is constructible knowing precisely those covariances required to construct a Wiener filter, and no more, and that the filter is independent of the particular models of the processes generating these covariances. Performance of the Kalman-Bucy filter does depend on the models, however. Results are also obtained for the smoothing problem.
26 citations
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TL;DR: In this article, the classical problem of parameter selection of three-term controllers within the framework of suboptimal linear regulator theory is viewed, and iterative techniques are used to determine the controller parameters so that the expected value of a quadratic loss type performance index is minimized, with the initial states of the system a random variable uniformly distributed over a unit sphere.
Abstract: The classical problem of parameter selection of three-term controllers within the framework of suboptimal linear regulator theory is viewed. Iterative techniques are used to determine the controller parameters so that the expected value of a quadratic loss type performance index is minimized, with the initial states of the system a random variable uniformly distributed over a unit sphere.
19 citations
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TL;DR: A solution procedure, based on solving differential equations with nonmixed boundary conditions, is described for the case when the kernel of the integral equation is known to be the output covariance of a linear finite-dimensional system excited by white noise.
Abstract: This paper considers the solution of a Fredholm equation occurring in detection theory problems. A solution procedure, based on solving differential equations with nonmixed boundary conditions, is described for the case when the kernel of the integral equation is known to be the output covariance of a linear finite-dimensional system excited by white noise. Solutions with discontinuities are considered.
5 citations
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TL;DR: In this paper, the multidimensional linear filtering problem for a signal in white noise is considered, and formulas are given for optimum causal and non-causal filters and the associated errors.
Abstract: The multidimensional linear-filtering problem for a signal in white noise is considered, and formulas are given for optimum causal and noncausal filters and the associated errors.
5 citations