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ICRA
2008
IEEE
197views Robotics» more  ICRA 2008»
15 years 10 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»
15 years 2 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
173
Voted
ASE
1998
81views more  ASE 1998»
15 years 3 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»
15 years 10 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
161
Voted
DFVLR
1987
15 years 7 months 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