Riccati-ZORO decomposes joint optimization of nominal trajectory and ellipsoidal uncertainty tube into two subproblems, lowering complexity from O(n_x^6) to O(n_x^3) for linear feedback.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Riccati-ZORO: An efficient algorithm for heuristic online optimization of internal feedback laws in robust and stochastic model predictive control
Riccati-ZORO decomposes joint optimization of nominal trajectory and ellipsoidal uncertainty tube into two subproblems, lowering complexity from O(n_x^6) to O(n_x^3) for linear feedback.