SIAMCO
2010
13 years 7 months ago
2010
For discrete time nonlinear systems satisfying an exponential or finite time controllability assumption, we present an analytical formula for a suboptimality estimate for model pre...
CDC
2010
IEEE
13 years 7 months ago
2010
IEEE
The present paper shows how vertical actuation alone may be used to effectively control the spatial distribution of mobile vehicles ("balloons" in air, or "drifters&...
CDC
2010
IEEE
13 years 7 months ago
2010
IEEE
Abstract-- This paper considers a recently proposed framework for experiment design in system identification for control. We will consider model based control design methods, such ...
SCL
2010
13 years 10 months ago
2010
— Cooperative distributed model predictive control has recently been shown to provide stabilizing feedback for plants composed of any finite number of dynamically coupled subsys...
AUTOMATICA
2010
14 years 1 days ago
2010
: The guarantee of feasibility given feasibility at initial time is an issue that has been overlooked by many of the recent papers on stochastic model predictive control. Effective...
AUTOMATICA
2005
14 years 10 days ago
2005
Model predictive control (MPC) is of interest because it is one of the few control design methods which preserves standard design variables and yet handles constraints. MPC is nor...
AUTOMATICA
2005
14 years 10 days ago
2005
This paper proposes a quadratic programming (QP) approach to robust model predictive control (MPC) for constrained linear systems having both model uncertainties and bounded distu...
RAS
2006
14 years 11 days ago
2006
This paper considers trajectory planning problems for autonomous robots in information gathering tasks. The objective of the planning is to maximize the information gathered withi...
SCL
2008
14 years 11 days ago
2008
In this paper we consider discrete-time nonlinear systems that are affected, possibly simultaneously, by parametric uncertainties and disturbance inputs. The min-max Model Predict...
MVA
2008
14 years 12 days ago
2008
We present a generic framework for enhanced active multi-sensing. We propose a coopetitive interaction approach, which combines the salient features of cooperation and competition ...