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  • Search: isPartOf:"Mathematics and Computers in Simulation (MATCOM)"
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Simulation 66 Stability 43 Neural networks 34 Finite element method 29 Solitons 26 Monte Carlo 23 Inverse problem 22 Optimization 22 Computer algebra 21 Monte Carlo method 21 Solitary waves 20 Chaos 19 Modelling 19 Monte Carlo simulation 19 Synchronization 18 Computer simulation 15 Domain decomposition 15 Finite volume method 15 Bifurcation 14 Convergence 14 Lattice Boltzmann method 14 Monte Carlo methods 14 Partial differential equations 14 Soliton 14 Finite elements 13 Fuzzy logic 13 GARCH 13 Numerical integration 13 Numerical simulation 13 Adaptive control 12 Bootstrap 12 Cointegration 12 Modeling 12 Optimal control 12 Sensitivity analysis 12 Genetic algorithm 11 Genetic algorithms 11 Neural network 11 Nonlinear systems 11 Parameter estimation 11
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Undetermined 4,054
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McAleer, Michael 54 Kevrekidis, P.G. 17 Oxley, Les 17 Vichnevetsky, R. 16 Mesnard, Guy 15 Tzafestas, S.G. 15 Evans, D.J. 14 Jakeman, A.J. 14 Korn, Granino A. 14 Roanes-Lozano, Eugenio 14 Chang, Chia-Lin 12 Pasadas, M. 12 Taha, Thiab R. 12 Ames, W.F. 11 Brezinski, C. 11 Laita, Luis M. 10 McKenzie, C.R. 10 Ohkita, Masaaki 10 Van Remoortere, P. 10 Al-Haddad, Kamal 8 Chan, Felix 8 Christov, C.I. 8 Hadjidimos, A. 8 Lim, Christine 8 Malomed, B.A. 8 Nedjalkov, M. 8 Sbibih, D. 8 Walter, Eric 8 Adomian, G. 7 Chan, W.S. 7 Egidi, N. 7 Frantzeskakis, D.J. 7 Hernando, Antonio 7 Kosina, H. 7 Ludu, A. 7 Maponi, P. 7 Steinberg, Stanly 7 Aiyoshi, Eitaro 6 Borne, Pierre 6 Carver, M.B. 6
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Mathematics and Computers in Simulation (MATCOM) 4,054
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RePEc 4,054
Showing 2,111 - 2,120 of 4,054
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Modelling for fault detection and isolation versus modelling for control
Frank, P.M.; Alcorta Garcı́a, E.; Köppen-Seliger, B. - In: Mathematics and Computers in Simulation (MATCOM) 53 (2000) 4, pp. 259-271
The goal of this paper is to emphasize both the particularities of models needed for model-based fault detection and isolation (FDI) and the differences with respect to the models used in control. Of special interest is the question of complexity. This depends basically on the given situation...
Persistent link: https://www.econbiz.de/10011050251
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Neuro-genetic PID autotuning: time invariant case
Lima, João M.G.; Ruano, António E. - In: Mathematics and Computers in Simulation (MATCOM) 51 (2000) 3, pp. 287-300
The Proportional, Integral and Derivative (PID) controllers are widely used in industrial applications. Their popularity comes from their robust performance and also from their functional simplicity.
Persistent link: https://www.econbiz.de/10011050283
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Modelling and simulation of unsteady heat transfer for aerospacecraft trajectory optimization
Dinkelmann, M.; Wächter, M.; Sachs, G. - In: Mathematics and Computers in Simulation (MATCOM) 53 (2000) 4, pp. 389-394
Heat input reduction by optimal trajectory control is considered for the range cruise of a hypersonic flight system propelled by a turbo/ram jet engines combination. A mathematical model is developed for describing the unsteady heat transfer through the thermal protection system. This model is...
Persistent link: https://www.econbiz.de/10011050330
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Boole’s logic revisited from computer algebra
Laita, Luis M.; de Ledesma, L.; Roanes-Lozano, Eugenio; … - In: Mathematics and Computers in Simulation (MATCOM) 51 (2000) 5, pp. 419-439
The article deals with computer algebra emulation and generalization of the main ideas that were the basis of Boole’s logic, as they were produced by him, and not as they were frequently misinterpreted in the history of Logic. The article begins with a historical account of the genesis of...
Persistent link: https://www.econbiz.de/10011050338
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Robustness of fuzzy control and its application to a thermal plant
Matko, D.; Škrjanc, I.; Mušič, G. - In: Mathematics and Computers in Simulation (MATCOM) 51 (2000) 3, pp. 245-255
The paper deals with the robustness of fuzzy control. The complementary sensitivity function which in the case of the cancellation control corresponds to the desired closed-loop transfer function must be shaped in order to fulfil the basic equation of robust stability. With classical robust...
Persistent link: https://www.econbiz.de/10011050344
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Strong discrete time approximation of stochastic differential equations with time delay
Küchler, Uwe; Platen, Eckhard - In: Mathematics and Computers in Simulation (MATCOM) 54 (2000) 1, pp. 189-205
The paper introduces an approach for the derivation of discrete time approximations for solutions of stochastic differential equations (SDEs) with time delay. The suggested approximations converge in a strong sense. Furthermore, explicit solutions for linear stochastic delay equations are given.
Persistent link: https://www.econbiz.de/10011050382
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A new decoupling technique for the Hermite cubic collocation equations arising from boundary value problems
Dyksen, Wayne R.; Lynch, Robert E. - In: Mathematics and Computers in Simulation (MATCOM) 54 (2000) 4, pp. 359-372
We present a new decoupling technique for solving the linear systems arising from Hermite cubic collocation solutions to boundary value problems with both Dirichlet and Neumann boundary conditions. While the traditional approach yields a linear system of order 2N×2N with bandwidth 2, our...
Persistent link: https://www.econbiz.de/10011050391
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Incremental unknowns for solving the incompressible Navier–Stokes equations
Garcia, Salvador - In: Mathematics and Computers in Simulation (MATCOM) 52 (2000) 5, pp. 445-489
Incremental unknowns, earlier designed for the long-term integration of dissipative evolutionary equations, are introduced here for the incompressible Navier–Stokes equations in primitive variables when multilevel finite-difference discretizations on a staggered grid are used for the spatial...
Persistent link: https://www.econbiz.de/10011050404
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Concerning the primary and secondary objectives in robot task definition — the “learn from humans” principle
Potkonjak, Veljko; Tzafestas, Spyros; Kostic, Dragan - In: Mathematics and Computers in Simulation (MATCOM) 54 (2000) 1, pp. 145-157
This paper is concerned with the trajectory definition in robot tasks. Although very often ignored, the specification of robot motion is not the first step in the definition of a robot task. The task definition starts with the description of the final outcome, i.e. with the specification of the...
Persistent link: https://www.econbiz.de/10011050407
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Gauss–Radau formulae for Jacobi and Laguerre weight functions
Gautschi, Walter - In: Mathematics and Computers in Simulation (MATCOM) 54 (2000) 4, pp. 403-412
Explicit expressions are obtained for the weights of the Gauss–Radau quadrature formula for integration over the interval [−1,1] relative to the Jacobi weight function (1−t)α(1+t)β, α−1, β−1. The nodes are known to be the eigenvalues of a symmetric tridiagonal matrix, which is also...
Persistent link: https://www.econbiz.de/10011050433
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