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Modelling, Simulation and Control of Non-linear Dynamical Systems

These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control;

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Modeling, Identification and Simulation of Dynamical Systems

This book gives an in-depth introduction to the areas of modeling, identification, simulation, and optimization. These scientific topics;

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Modeling and Simulation in Scilab/Scicos with ScicosLab 4.4

detailed Scilab tutorial, and the second is dedicated to modeling and simulation of dynamical systems in Scicos. The concepts are illustrated;

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Knowledge in Action

Specifying and implementing dynamical systems with the situation calculus. Modeling and implementing dynamical systems is a central problem;

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Neural Network Modeling and Identification of Dynamical Systems

Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network;

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Modeling and Simulation of Complex Dynamical Systems

This book highlights the practical aspects of computer modelling and simulation of complex dynamical systems for students. Mechanical;

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Modeling and Simulation in Scilab/Scicos with ScicosLab 4.4

global view of Scilab. The second part is dedicated to modeling and simulation of dynamical systems in Scicos. This type of modeling tool;

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Dynamic Systems Biology Modeling and Simulation

mathematical modeling and computer simulation of dynamic biological systems - from molecular/cellular, organ-system, on up to population levels. The;

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Modeling And Simulation Of Systems Using Matlab And Simulink

Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict;

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Modeling and Simulation of Complex Power Systems

requires computer simulation and modeling, and knowledge of methods and algorithms. This book presents key concepts of modeling;

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Dynamical Systems: Modelling

deep insight into new perspectives in analysis, simulation, and optimization of dynamical systems, emphasizing directions for future research;

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Dynamical Systems: Theoretical and Experimental Analysis

. The studies give deep insight into new perspectives in analysis, simulation, and optimization of dynamical systems, emphasizing directions for;

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Modeling and Simulation of Computer Networks and Systems

Modeling and Simulation of Computer Networks and Systems: Methodologies and Applications introduces you to a broad array;

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Dynamical Models In Neurocognitive Psychology

behavior. Dynamical models represent a general and flexible approach to cognitive modeling. This introduction focuses on applications of stochastic;

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Dynamical Models In Neurocognitive Psychology

behavior. Dynamical models represent a general and flexible approach to cognitive modeling. This introduction focuses on applications of stochastic;

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Chaotic Systems

International Conference (CHAOS2009) on Chaotic Modeling, Simulation and Applications, that was held in Chania, Crete, Greece, June 1-5, 2009. The aim;

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Modeling and Analysis of Dynamic Systems

perform symbolic, graphical, numerical, and simulation tasks. Written for senior level courses/modules, the textbook meticulously covers;

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Nonlinear Structures and Systems, Volume 1

Nonlinear Modeling & Simulation Nonlinearity & System Identification;

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Application Of Dimensional Analysis In Systems Modeling And

include dimensional analysis and dimensional similarity, dynamical systems dimensionless representation, dimensionless systems identification and;

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Interactive Dynamic-System Simulation

practical tutorial on interactive dynamic-system modeling and simulation. It discusses how to effectively simulate dynamical systems, such as;

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Interactive Dynamic-System Simulation

practical tutorial on interactive dynamic-system modeling and simulation. It discusses how to effectively simulate dynamical systems, such as;

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Modeling Simulation and Optimization

This book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization;

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Electric Machines and Drives

, and Simulation takes a ground-up approach that emphasizes fundamental principles. The author carefully deploys physical insight, mathematical;

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Electric Machines and Drives

, and Simulation takes a ground-up approach that emphasizes fundamental principles. The author carefully deploys physical insight, mathematical;

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Modeling and Simulation of HVDC Transmission

of nonlinearity and different timescales into the traditional electromechanical system and thus careful modeling and simulation of HVDC transmission are;

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Modeling and Simulation Support for System of Systems Engineering Applications

involved in modeling and simulation in support of Systems of Systems development, more particularly guidance that draws on well-conceived academic;

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Interpolatory Methods for Model Reduction

improved accuracy leads to larger and more complex dynamical systems, direct simulation often becomes the only available strategy for accurate;

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