Results 251 to 260 of about 2,190,995 (307)

State-Space Methods for Control Systems

IEEE Transactions on Systems, Man, and Cybernetics, 1979
F. Csaki, R. Bars
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Extended state-space Monte Carlo methods

Physical Review E, 2001
In this paper various extensions of the parallel-tempering algorithm are developed and their properties are analyzed. The algorithms are designed to alleviate quasiergodic sampling in systems which have rough energy landscapes by coupling individual Monte Carlo chains to form a composite chain.
S B, Opps, J, Schofield
openaire   +2 more sources

Probabilistic Methods in State Space Analysis

2004
Several methods have been developed to validate the correctness and performance of hard- and software systems. One way to do this is to model the system and carry out a state space exploration in order to detect all possible states. In this paper, a survey of existing probabilistic state space exploration methods is given.
Matthias Kuntz, Kai Lampka
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The state space method and factorization

2010
This chapter describes in detail the elements of the state space method that are used throughout this book. The central notion is that of a realization of a matrix or operator function. The chapter consists of six sections. Section 2.1 presents preliminaries on realization, including the relevant definitions and the connection with systems theory.
Harm Bart   +2 more
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State space Newton’s method for topology optimization

Computer Methods in Applied Mechanics and Engineering, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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