Modeling and Simulation of Dynamical Systems

Capture the attention of engineers, researchers and advanced students with a definitive guide to modern system analysis. Modeling and Simulation of Dynamical Systems by Payam Zarafshan delivers clear, practical instruction on turning physical problems into robust computational models.

This accessible yet rigorous text walks you through fundamentals and advanced topics: system representation, linear and nonlinear dynamics, stability and bifurcation analysis, numerical integration techniques, and performance evaluation of control strategies. Rich with worked examples and real-world case studies, the book emphasizes step-by-step modeling workflows and best practices for validating simulations. Whether you’re exploring mechanical, electrical, biological or economic systems, you’ll find methods that translate theory into reliable, repeatable models.

Engineered for applicability, the book pairs mathematical clarity with computational insight—showing how to implement models using common simulation environments and how to interpret results to inform design and policy decisions. Readers will gain practical skills in model formulation, parameter estimation, sensitivity analysis, and scenario testing that are directly relevant to research labs, industry projects, and graduate coursework.

Ideal for audiences across North America, Europe, Asia-Pacific and beyond, this title is a must-have reference for control engineers, systems scientists, and graduate students pursuing computational modeling and simulation. Clear diagrams, concise summaries and problem sets reinforce learning and accelerate mastery.

Take the next step in your professional development—add Modeling and Simulation of Dynamical Systems by Payam Zarafshan to your library today and transform how you analyze and design dynamic systems.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.