Titlebook: Computer Intensive Methods in Control and Signal Processing; The Curse of Dimensi Miroslav Kárný,Kevin Warwick Book 1997 Springer Science+B

四溢

Prognosis

Applying New Numerical Algorithms to the Solution of Discrete-Time Optimal Control Problems,programming is used for their numerical solution. After an overview about the method, single modules are discussed with respect to the treatment of the problem dimension. Derivatives of nonlinear equations are calculated by automatic differentiation. The sparse Hessian of the problem is partitioned

只有

System Modeling using Composition Networks,e models of continuous-time systems ought to be invertible; this property implying that we should investigate group theoretic methods - using compositions of invertible basis transformations to approximate the (invertible) map of a dynamical system. The appropriate framework for our approach is Lie

evasive

Recursive Nonlinear Estimation of Non-linear/Non-Gaussian Dynamic Models,a narrow class of models, typically models with linear dynamics and Gaussian stochastics. The theoretically optimal solution is infeasible for non-linear and/or non-Gaussian models due to its excessive demands on computational memory and time. Parameter estimation of such models requires approximati

expdient

不要严酷

Identification of Reality in Bayesian Context,ial world of models is addressed. Particularly, the paper tries to clarify the meaning of Bayesian identification under mismodelling by answering the question, “What is the outcome of the Bayesian identification without supposing the model set considered contains the ”true“ system model?”.The answer

stratum-corneum

Nonlinear Nonnormal Dynamic Models: State Estimation and Software, software for model and filter design. The initial a priori density of the state vector, state and measurement noise are always represented in the form of a discrete normal density mixture and a posteriori density of state vector has the same form. A software package was developed for solving Bayesi

雪上轻舟飞过

corpuscle

Estimation of Quasipolynomials in Noise: Theoretical, Algorithmic and Implementation Aspects,rithmic aspects of this problem. A real quasipolynomial is defined as a polynomial with real coefficients multiplied by an exponential function with a real exponent. The polynomial coefficients vary in time. Their varying is described by a sinusoidal function. The main focus is given to estimation o

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