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SIAMCO
2010
201views more  SIAMCO 2010»
13 years 6 months ago
Analysis of Unconstrained Nonlinear MPC Schemes with Time Varying Control Horizon
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...
Lars Grüne, Jürgen Pannek, Martin Seehaf...
CDC
2010
IEEE
124views Control Systems» more  CDC 2010»
13 years 6 months ago
Underactuated control and distribution of multi-agent systems in stratified flow environments
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&...
Robert H. Krohn, Thomas R. Bewley
CDC
2010
IEEE
122views Control Systems» more  CDC 2010»
13 years 6 months ago
On optimal input design in system identification for control
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 ...
Bo Wahlberg, Håkan Hjalmarsson, Mariette Ann...
SCL
2010
137views more  SCL 2010»
13 years 9 months ago
Cooperative distributed model predictive control
— Cooperative distributed model predictive control has recently been shown to provide stabilizing feedback for plants composed of any finite number of dynamically coupled subsys...
Brett T. Stewart, Aswin N. Venkat, James B. Rawlin...
AUTOMATICA
2010
98views more  AUTOMATICA 2010»
13 years 11 months ago
Explicit use of probabilistic distributions in linear predictive control
: 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...
Basil Kouvaritakis, Mark Cannon, Sasa V. Rakovic, ...
AUTOMATICA
2005
103views more  AUTOMATICA 2005»
13 years 11 months ago
Incorporating state estimation into model predictive control and its application to network traffic control
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...
Jun Yan, Robert R. Bitmead
AUTOMATICA
2005
115views more  AUTOMATICA 2005»
13 years 11 months ago
Robust constrained predictive control using comparison model
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...
Hiroaki Fukushima, Robert R. Bitmead
RAS
2006
111views more  RAS 2006»
13 years 11 months ago
Planning under uncertainty using model predictive control for information gathering
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...
Cindy Leung, Shoudong Huang, Ngai Ming Kwok, Gamin...
SCL
2008
108views more  SCL 2008»
13 years 11 months ago
On input-to-state stability of min-max nonlinear model predictive control
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...
Mircea Lazar, David Muñoz de la Peña...
MVA
2008
159views Computer Vision» more  MVA 2008»
13 years 11 months ago
Coopetitive multi-camera surveillance using model predictive control
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 ...
Vivek K. Singh, Pradeep K. Atrey, Mohan S. Kankanh...