Stanford Linear Dynamical Systems

Introduction to Linear Dynamical Systems (EE263) is the introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems. Topics include: Least-squares approximations of over-determined equations and least-norm solutions of underdetermined equations. Symmetric matrices, matrix norm and singular value decomposition. Eigenvalues, left and right eigenvectors, and dynamical interpretation. Matrix exponential, stability, and asymptotic behaviour. Multi-input multi-output systems, impulse and step matrices; convolution and transfer matrix descriptions. Control, reachability, state transfer, and least-norm inputs. Observability and least-squares state estimation. EE263 covers some of the same topics, but is complementary to, CME200. Created by Stanford


Average Course Length

30 hours


Skill Level

Intermediate



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2: Lecture 2
3: Lecture 3
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5: Lecture 5
6: Lecture 6
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10: Lecture 10