Modeling Introduction

Related lectures (31)

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Explores stability analysis of the 1st harmonic in closed-loop systems and the importance of harmonic conditions for limit cycles.

Explains the necessity of error in a proportional controller and the effects of the setpoint.

Explores controlled stochastic processes, focusing on analysis, behavior, and optimization, using dynamic programming to solve real-world problems.

Explores Nonlinear Model Predictive Control, covering stability, optimality, pitfalls, and examples.

Explores state-space representation, controllability, observability, and regulator calculation using the Ackermann method.

Covers the basics of state-space representation and explores transformations to different forms.

Covers the structure theorem for state-space representations and companion forms.

Covers the representation theory of unitary minimal models and the Virasoro algebra.

Covers the goals and motivations of representation theory, focusing on associative algebras and homomorphisms.

Explores Infinite-Horizon Linear Quadratic (LQ) optimal control, emphasizing solution methods and practical examples.