25 search results - page 3 / 5 » A set-membership state estimation algorithm based on DC prog... |
BMCBI
2007
13 years 4 months ago
2007
Background: Current approaches to parameter estimation are often inappropriate or inconvenient for the modelling of complex biological systems. For systems described by nonlinear ...
TSE
2010
13 years 3 months ago
2010
This paper presents an innovative model of a program’s internal behavior over a set of test inputs, called the probabilistic program dependence graph (PPDG), that facilitates pr...
TASE
2010
IEEE
12 years 11 months ago
2010
IEEE
Robots operating in a workspace can localize themselves by querying nodes of a sensor-network deployed in the same workspace. This paper addresses the problem of computing the min...
CDC
2010
IEEE
12 years 11 months ago
2010
IEEE
In the past decade, moving horizon estimation (MHE) has emerged as a powerful technique for estimating the state of a dynamical system in the presence of nonlinearities and disturb...
AROBOTS
1999
13 years 4 months ago
1999
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...