Conference Workshop

Boris Houska (ShanghaiTech University): Distributed Optimization and Control with ALADIN

Abstract: This workshop consists of two interactive tutorial presentations. The first presentation gives an overview about distributed convex and nonconvex optimization algorithms of recent interest such as dual decomposition, the alternating direction method of multipliers (ADMM), and the augmented Lagrangian based alternating direction inexact Newton method (ALADIN). We discuss how these methods perform for different types of problems and share experience on which algorithms and settings are suited for which types of optimization problems.

The second presentation focuses on applications of ALADIN with a particular focus on large-scale applications in model- based process control. In particular we discuss how to detect and exploit structure in different types of control applications ranging from distributed traffic control at intersections, nominal and stochastic optimization of AC power flows in large electrical networks, to plant-wide chemical process optimization and control.