Systems Science in Engineering for Advanced Modelling, Simulation, Control and Optimization

The fields of science and engineering are composed of complex systems and phenomena due to a series of inherent system attributes like strong nonlinearity, time-varying system parameters, stochastic behavior, chaotic behavior, etc. This book helps researchers and students to master the robost system modeling, simulation, and optimization of such complexly behaving systems requiring addressing particularly hard system-theoretical challenges. In addition, the book contributes to the new evolving systems' science consisting of systematically involving nonlinear oscillator models constructed by CNN processors for realizing core systems engineering processes for complex dynamic technical systems.