Portal de Periódicos da CAPES

Numerical Methods for Solution of the Extended Linear Quadratic Control Problem

2012; Elsevier BV; Volume: 45; Issue: 17 Linguagem: Inglês

10.3182/20120823-5-nl-3013.00092

2589-3653

John Bagterp Jørgensen, Gianluca Frison, Nicolai Fog Gade-Nielsen, Bernd Damman,

Fault Detection and Control Systems

In this paper we present the extended linear quadratic control problem, its efficient solution, and a discussion of how it arises in the numerical solution of nonlinear model predictive control problems. The extended linear quadratic control problem is the optimal control problem corresponding to the Karush-Kuhn-Tucker system that constitute the majority of computational work in constrained nonlinear and linear model predictive control problems solved by efficient MPC-tailored interior-point and active-set algorithms. We state various methods of solving the extended linear quadratic control problem and discuss instances in which it arises. The methods discussed in the paper have been implemented in efficient C code for both CPUs and GPUs for a number of test examples.