Titlebook: Nonlinear Stochastic Problems; Richard S. Bucy,José M. F. Moura Book 1983 D. Reidel Publishing Company, Dordrecht, Holland 1983 Estimator.

GLIB

A Simple Approach to High-Resolution Spectral Analysis operates on the system outputs rather than the input sampled data. The technique has general application and can be used wherever a response function is known or can be assumed. It has been applied to obtain the undersea ambient noise spatial spectrum from towed line array data and the frequency sp

啞劇

exhibit

Convergence Study of Two Real-Time Parameter Estimation Schemes for Nonlinear System nonlinear state differential equation, and model adjustment technique is used for identification. The convergence behavior of the whole scheme is then investigated, under the circumstances where the output data is corrupted with measurement noise. Comparison of the two methods are also presented.

Monocle

grudging

Minimax Estimation of Arma Systemsrithms, usually based on least squares theory. This paper presents a new method based on a decision theoretical approach for the identification problem. When a certain criterion is chosen, game theory gives the conditions for the existence of a minimax decision rule, which is fundamental for robust

誘拐

On the Structure of Minimal Markovian Representationsinite or infinite-dimensional) Markovian Representations of a given (stationary) Gaussian process. The paper discusses when Markovian Representations can be studied by means of functional models in the Hardy space. It is shown that it is the case for all the Minimal Markovian Representations of a st

險(xiǎn)代理人

A Brief Tutorial on Calculus on Manifolds, with Emphasis on Applications to Identification and Contrtion, filtering, and from realization theory. Calculus of real-valued functions on a manifold, leading to the Morse Theory, is also discussed accompanied by examples in identification and in the stability analysis of a power system

頭腦冷靜

Geometric Aspects of the Convergence Analysis of Identification Algorithmshis parameter set is studied using, for example, the “ODE approach” of Ljung together with classical differential-topological methods for the qualitative analysis of differential equations. Combined with recent studies ([4], [8], [10], [12], [19] and [23]) on the topology of certain spaces of system

行乞

Multivariable Adaptive Regulators Based on Multistep Quadratic Cost Functionalsback-gain matrix according to the minimization of a quadratic cost functional defined over a control horizon of arbitrary length via an implicit identification algorithm. Indeed, all that is required is to recursively carry out an LS est.mation of a multistep prediction model those parameters almost

幻想