Tuesday, May 11

Interior Point Methods for Optimal Control

10:45 AM-12:45 PM
Room: Atlanta 4

Solution of large-scale optimization problems has been a key element in many solution procedures to optimal control problems. Recent advances in interior-point (IP) methods have impacted optimal control research, resulting in computational times that are practically viable for problems previously considered unsolvable. Application of IP methods has been effective in addressing many issues characteristic of optimal control problems, including treatment of bounds and inequalities, and providing a framework where the problem structure can be exploited. The speakers in this minisymposium report on the theoretical and algorithmic advances in this area and on applications to industrial problems.

Organizers: Vipin Gopal
Honeywell Technology Center
Purt Tanartkit
Simulation Sciences, Brea, California

10:45-11:10 Algorithms for Model Predictive Control
Christopher V. Rao, James B. Rawlings, and Matthew J. Tenny, University of Wisconsin, Madison; and Stephen J. Wright, Argonne National Laboratory
11:15-11:40 A Decomposed Barrier Strategy for Optimal Control
Arturo M. Cervantes, Andreas. Waechter, and Lorenz T. Biegler, Carnegie Mellon University
11:45-12:10 Convex Programming for Simultaneous Estimation and Optimization
Miguel S. Lobo and Stephen Boyd, Stanford University
12:15-12:40 Aircraft Conflict Resolution in Free Flight
Vipin Gopal, Organizer; and Robert Schultz, Honeywell Technology Center

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MMD, 12/21/98