Course 2A: Modeling with Dynamics and Control

by Daniel Sinderson

Course Description

This is course 2A in my DIY graduate program. It’s a year-long course in dynamical systems, differential equations, and optimal control theory.

Course Materials

Syllabus

#ChapterHWLab
1ModelingNotes
2Existence and UniquenessNotesIntro to IVP and BVP
3Stability TheoryNotes
4Problem SetsModeling the Spread of an Epidemic: SIR Models
5Bifurcation TheoryNotes
6PDE IntroductionNotesPredator-Prey Models
7Hyperbolic PDENotes
8Auxiliary Conditions, Well-Posedness, and Parabolic and Elliptic
equations
NotesBifurcations and Hysteresis
9Eigenfunction ExpansionsNotes
10Green’s FunctionNotesWave Phenomena
11Introduction to Optimization and the Calculus of VariationsNotes
12The Simplest ProblemNotesHeat Flow
13Generalizations of the Simplest ProblemNotes
14ConstraintsNotesAnisotropic Diffusion
15Hamilton’s PrincipleNotes
16Symmetry and Conservation: Noether’s TheoremNotesPoisson’s Equation
17Necessary AND Sufficient Conditions for Weak Maxima/MinimaNotes
18Strong ExtremaNotesSpectral 1: Method of Mean Weighted Residuals
19Introduction to Optimal ControlNotes
20Formal Derivation of Pontraygin’s Maximum PrincipleNotesSpectral 2: A Pseudospectral Method for Periodic Functions
21Bang-bang and singular control problemsNotes
22Different forms of the cost-functionalNotesHIV Treatment Using Optimal Control
23Linear Quadratic Regulator (the ‘right’ way to optimize)Notes
24Inequality constraintsNotesSolitons
25Hamilton Jacobi Bellman EquationNotes
26Mathematical SystemsNotesObstacle Avoidance
27Control Theory: Discrete CaseNotes
28Linear Control TheoryNotesThe Inverted Pendulum
29Optimal ControlNotes
30Problem SetsLQG

Written on: December 1, 2024