38 search results - page 3 / 8 » Control formula for nonlinear systems subject to convex inpu... |
CDC
2009
IEEE
13 years 11 months ago
2009
IEEE
— A receding horizon control algorithm, originally proposed for tracking best-possible steady-states in the presence of overly stringent state and/or input constraints, is analyz...
CDC
2009
IEEE
13 years 8 months ago
2009
IEEE
This paper is concerned with the problem of receding horizon control of discrete-time systems subject to possibly unbounded random noise inputs, while satisfying hard bounds on the...
INFOCOM
2012
IEEE
11 years 10 months ago
2012
IEEE
—We study two convex optimization problems in a multi-class M/G/1 queue with adjustable service rates: minimizing convex functions of the average delay vector, and minimizing ave...
IJRR
2010
13 years 4 months ago
2010
Advances in the direct computation of Lyapunov functions using convex optimization make it possible to efficiently evaluate regions of attraction for smooth nonlinear systems. Her...
AUTOMATICA
2007
13 years 7 months ago
2007
— In this paper, we present a stable receding horizon model predictive control for discrete-time nonlinear systems. The standard MPC scheme is modified to incorporate (1) a bloc...