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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 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 of Complex Power Systems

. Modeling and Simulation of Complex Power Systems is an invaluable tool for researchers in industry and academia, and advanced students.;

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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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A Mathematical Modeling Approach from Nonlinear Dynamics to Complex Systems

based on a nonlinear dynamical systems approach that can be used to model and understand complex behavior in nonlinear dynamical systems. It;

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Modeling and Simulation of Complex Systems

Robert Siegfried presents a framework for efficient agent-based modeling and simulation of complex systems. He compares different;

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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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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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Modeling and Simulation of Complex Communication Networks

complex. They require powerful and realistic models and tools not only for analysis and simulation but also for prediction;

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Modern Simulation And Modeling

A step-by-step guide for today's modeling and simulation practices This new guide for modeling and simulation of discrete-event systems;

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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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Modeling and Simulation Based Analysis in Reliability Engineering

Recent developments in reliability engineering has become the most challenging and demanding area of research. Modeling and Simulation;

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Modeling and Simulation Based Analysis in Reliability Engineering

Focuses on the latest research in modeling and simulation based analysis in reliability engineering. Covers performance evaluation of complex;

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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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Recent Advances in Modeling, Analysis and Systems Control

This book describes recent developments in a wide range of areas, including the modeling, analysis and control of dynamical systems, and;

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Recent Advances in Modeling, Analysis and Systems Control

This book describes recent developments in a wide range of areas, including the modeling, analysis and control of dynamical systems, and;

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Multi-agent and Complex Systems

This book provides a description of advanced multi-agent and artificial intelligence technologies for the modeling and simulation;

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Modeling, Analysis And Control Of Dynamical Systems With Friction And Impacts

emphasized is the unity of diverse branches of physics and mathematics towards understanding complex piecewise-smooth dynamical systems. Mathematical;

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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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Recent Development in Stochastic Dynamics and Stochastic Analysis

areas. Stochastic dynamical systems tools for modeling and simulation are highly demanded in investigating complex phenomena in, for example;

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Systems Biology

complex or organic general systems. It also provides in-depth coverage of modeling biochemical, thermodynamic, engineering, and ecological systems;

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Complex Systems Modeling and Simulation in Economics and Finance

Simulation in Economics and Finance is useful for graduate courses of complex systems, with particular focus on economics and finance. At the same;

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Emergent Behavior in Complex Systems Engineering

in general and simulation methods in particular can help in gaining new insights in complex systems engineering.;

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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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