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This book presents system dynamics with a minimum of mathematical formalism.
It aims to generate system dynamics with real-time performance for the micro-chip controller design.
A recurrent neural network (NN) is constructed to identify the unknown system dynamics with stability proof.
Backstepping design technique is applied to deal with system dynamics with non-global Lipschitz nonlinearities.
Analyses of time series data reflected complex system dynamics, with multiple transitions among regimes that were a function of both local and global stressors.
A "deterministic learning„ theory was recently proposed for locally-accurate identification of nonlinear system dynamics with full-state measurements.
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Doctoral level seminar in system dynamics modeling, with a focus on social, economic and technical systems.
Doctoral level seminar in system dynamics modeling with a focus on social, economic and technical systems.
The observer design model is elaborated from the state system dynamics augmented with the dynamics of the unknown parameters.
The methodology used was system dynamics modeling with data obtained from public authorities, biogas industry and scientific publications.
The vehicle-road system dynamics combined with the human perception of random vibrations are cast in the standard linear quadratic Gaussian format.
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