Brief An ordinal optimization approach to optimal control problems

Authors:
Mei (May) Deng;Yu-Chi Ho
Affiliations:
AT&T Labs, Room 1L-208, 101 Crawfords Corner Road, Holmdel, NJ 07733, USA;Division of Applied Science, Harvard University, 29 Oxford Street, Cambridge, MA 02138, USA
Venue:
Automatica (Journal of IFAC)
Year:
1999

Citing 6
Cited 4

Intractable problems in control theory

SIAM Journal on Control and Optimization
Effect of correlated estimation errors in ordinal optimization

WSC '92 Proceedings of the 24th conference on Winter simulation
Efficient algorithm for virtual topology design in multihop lightwave networks

IEEE/ACM Transactions on Networking (TON)
Easily searched encodings for number partitioning

Journal of Optimization Theory and Applications
Convergence properties of ordinal comparison in the simulation of discrete event dynamic systems

Journal of Optimization Theory and Applications
Universal alignment probabilities and subset selection for ordinal optimization

Journal of Optimization Theory and Applications

Multi-objective ordinal optimization for simulation optimization problems

Automatica (Journal of IFAC)
Ordinal Optimization and Quantification of Heuristic Designs

Discrete Event Dynamic Systems
Brief paper: Optimal memoryless control in Gaussian noise: A simple counterexample

Automatica (Journal of IFAC)
Witsenhausen's counterexample and its links with multimedia security problems

IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking

Quantified Score

Hi-index	22.15

Visualization

Abstract

We introduce an ordinal optimization approach to the study of optimal control law design. As illustration of the methodology, we find the optimal feedback control law for a simple LQG problem without the benefit of theory. For the famous unsolved Witsenhausen problem (1968, SIAM J. Control, 6(1)), a solution that is 50% better than the Witsenhausen solution is found.