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ICRA
2008
IEEE
197views Robotics» more  ICRA 2008»
14 years 3 months ago
A Bayesian framework for optimal motion planning with uncertainty
— Modeling robot motion planning with uncertainty in a Bayesian framework leads to a computationally intractable stochastic control problem. We seek hypotheses that can justify a...
Andrea Censi, Daniele Calisi, Alessandro De Luca, ...
ATMOS
2010
150views Optimization» more  ATMOS 2010»
13 years 8 months ago
Dynamic Graph Generation and Dynamic Rolling Horizon Techniques in Large Scale Train Timetabling
The aim of the train timetabling problem is to find a conflict free timetable for a set of passenger and freight trains along their routes in an infrastructure network. Several ...
Frank Fischer, Christoph Helmberg
ASE
1998
81views more  ASE 1998»
13 years 8 months ago
Program Understanding as Constraint Satisfaction: Representation and Reasoning Techniques
The process of understanding a source code in a high-level programming language involves complex computation. Given a piece of legacy code and a library of program plan templates, ...
Steven G. Woods, Qiang Yang
CDC
2008
IEEE
139views Control Systems» more  CDC 2008»
14 years 3 months ago
Iterative Risk Allocation: A new approach to robust Model Predictive Control with a joint chance constraint
Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...
Masahiro Ono, Brian C. Williams
DFVLR
1987
14 years 15 days ago
Two Fundamental Issues in Multiprocessing
: This paper examines the argument for dataflow architectures in "Two Fundamental Issues in Multiprocessing[5]." We observe two key problems. First, the justification of ...
Arvind, Robert A. Iannucci