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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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Article 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 2,871 - 2,880 of 4,054
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Multivariable generalized predictive control with new multiple reference model: a robust stability analysis
Codron, P.; Boucher, P. - In: Mathematics and Computers in Simulation (MATCOM) 37 (1994) 2, pp. 207-219
In this paper, it is presented the polynomial form of multivariable generalized predictive control with multiple reference model (MIMO GPC⧸MRM). A new choice of the reference model is given which allows to obtain decoupled and smooth nominal output responses. Then the equivalent polynomial...
Persistent link: https://www.econbiz.de/10011050575
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Development of control strategies for high cell density cultivations
Luttmann, Reiner; Bitzer, Gerhard; Hartkopf, Jens - In: Mathematics and Computers in Simulation (MATCOM) 37 (1994) 2, pp. 153-164
The high cell density cultivation (HCDC) of genetically modified microorganisms, e.g. E. coli, with dry weight larger than 100 g⧸l, requires fed-batch processing with aid of a controlled specific growth rate μ. A general mathematical model of HCDC as well as different methods to control μ is...
Persistent link: https://www.econbiz.de/10011050751
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On control of nonlinear distributed parameter bioreactors
Tali-Maamar, N.; Nihtilä, M.T.; Babary, J.P. - In: Mathematics and Computers in Simulation (MATCOM) 37 (1994) 2, pp. 173-181
A distributed parameter fixed-bed bioreactor model with axial diffusion is presented. An orthogonal collocation method is applied to obtain a lumped parameter model, i.e. a system of ordinary differential equations, which consists of one subset for the biomass concentration and the other for the...
Persistent link: https://www.econbiz.de/10011050849
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An expert system for the numerical solution of the one-dimensional Schrödinger equation
Simos, T.E.; Mitsou, G.V. - In: Mathematics and Computers in Simulation (MATCOM) 36 (1994) 3, pp. 195-202
An expert system for the numerical integration of the phase shift problem of the one-dimensional Schrödinger equation is proposed in this paper.
Persistent link: https://www.econbiz.de/10011050878
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Parameter estimation of the Weibull probability distribution
Qiao, Hongzhu; Tsokos, Chris P. - In: Mathematics and Computers in Simulation (MATCOM) 37 (1994) 1, pp. 47-55
Newton—Raphson's method plays a fundamental role in the maximum likelihood estimation of the two parameters of the Weibull probability distribution. It is well known that the method depends on the initial point of the iterative process and the iteration does not always converge.
Persistent link: https://www.econbiz.de/10011051046
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SoftLab—A virtual laboratory for computational science
Hoffman, Christoph M.; Houstis, Elias N.; Rice, John R.; … - In: Mathematics and Computers in Simulation (MATCOM) 36 (1994) 4, pp. 479-491
We describe a newly established research project called SoftLab in the area of computational science and computational engineering. The SoftLab project attempts to link physical laboratory experimentation with computer control and simulation to provide a virtual laboratory for computational...
Persistent link: https://www.econbiz.de/10011051169
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Intelligent object-oriented scientific computation
Cuyt, Annie; Verdonk, Brigitte; Verelst, Jan - In: Mathematics and Computers in Simulation (MATCOM) 36 (1994) 4, pp. 401-411
Our goal is the integration of accurate scientific computation and intelligent object-oriented techniques to obtain powerful tools that can be used for the successful development of scientific expert systems, i.e. systems which provide expertise in the choice of algorithms within a particular...
Persistent link: https://www.econbiz.de/10010748665
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The architecture of an intelligent virtual mathematical software repository system
Boisvert, Ronald F - In: Mathematics and Computers in Simulation (MATCOM) 36 (1994) 4, pp. 269-279
Much reusable software is available for solving routine mathematical and statistical problems. Unfortunately, locating this software is often quite difficult in current distributed computing environments. The Guide to Available Mathematical Software (GAMS) virtual software repository seeks to...
Persistent link: https://www.econbiz.de/10010748796
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Tuning cascade PID controllers using fuzzy logic
Li, M.X; Bruijn, P.M.; Verbruggen, H.B. - In: Mathematics and Computers in Simulation (MATCOM) 37 (1994) 2, pp. 143-151
Cascade control configurations offer interesting possibilities to improve the control of processes. However, the tuning of cascade controllers can be quite complex, which hampers a wider spread of applications. Using an on-line pattern recognition approach and fuzzy inferencing it is possible to...
Persistent link: https://www.econbiz.de/10010748869
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Fault detection-isolation and control reconfiguration
Kobi, A.; Nowakowski, S.; Ragot, J. - In: Mathematics and Computers in Simulation (MATCOM) 37 (1994) 2, pp. 111-117
In industrial applications of process control, we can find a very large variety of supervision structures including diagnosis and prognosis techniques. Here, we are concerned with the problem of reconfigurable control systems that possess the ability to accommodate failures. After some general...
Persistent link: https://www.econbiz.de/10010749030
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