EE 239: Optimal Control

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changes (lax) changes (strict) ▾ 2011-12 → 2011-12 →

Units: 4

Hours: Lecture, 3 hours; discus- sion, 1 hour

Catalog page 253

Prerequisites: EE 215, EE 235

Description: Presents the theory of stochastic optimal control sys- tems and methods for their design and analysis. Covers principles of optimization, Lagrange’s equation, linear-quadratic-Gaussian control; certainty-equiva- lence; the minimum principle; the Hamilton-Jacobi- Bellman equation; and the algebraic Ricatti equation.

Derived Information — The following is not part of the official catalog but is computed from catalog data.
Prerequisite graph not available.
Enrollment History (from UCR Banner, not catalog)
Combined: EE 239 / ME 239
Year F W S Su Total
2022-23 5/25 5/25
2021-22 8/25 8/25