
inControl ep41 - A minimal history of optimal control
Feb 16, 2026
A lively tour of the brachistochrone puzzle and why the cycloid mattered for time-optimal paths. A sweep through Euler, Lagrange, Hamilton and the birth of variational thinking. Mid-century leaps to Pontryagin’s maximum principle and Bellman’s dynamic programming are highlighted. Modern threads include LQR, Kalman filtering, model predictive control, games, nonsmooth analysis and reinforcement learning.
AI Snips
Chapters
Books
Transcript
Episode notes
The Brachistochrone Challenge Sparks Rivalry
- Johann Bernoulli posed the 1696 brachistochrone challenge to provoke the best mathematicians worldwide.
- Newton secretly sent a terse anonymous solution that Bernoulli recognized as his.
Calculus Of Variations Becomes Systematic
- Euler and Lagrange transformed isolated puzzles into the calculus of variations with general Euler-Lagrange equations.
- Lagrange's analytic method made finding extrema mechanical and systematic for functions of curves.
Hamilton Foreshadows Dynamic Programming
- Hamilton recast mechanics via the principle of stationary action and introduced conjugate momenta and the Hamiltonian.
- His characteristic function anticipates the modern value function used in dynamic programming.

