Dynamical System Theory for Engineers: Introduction

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Explores one-dimensional maps, periodic solutions, and bifurcations in dynamical systems.

Introduces dynamical systems, equilibrium points, stability, vector fields, phase plots, and Lyapunov stability.

Covers dynamical systems, equilibrium points, stability analysis, and phase plots using examples like the pendulum system.

Explores Chaos Theory through Discrete Dynamical Systems and the Arnold's Cat Map.

Covers the theoretical basis of linear and nonlinear dynamical systems for engineers.

Explores chaotic maps, fix points, stability, and Lyapunov exponents in discrete systems, emphasizing their role in determining chaos.

Explores online gradient boosting for non-stochastic control problems, emphasizing policy regret minimization and stability in control.

Explores learning and adaptive control for robots through SEDS and LPV-DS, emphasizing stability, non-linear dynamics, and optimization.

Delves into Ruelle resonances for linear pseudo-Anosov maps, highlighting their importance in dynamical systems theory.

Explores Stable Estimator of Dynamical Systems (SEDS) for robots, covering stability, modeling, optimization, and limitations.