An adaptive model-based predictive control scheme is proposed for non-linear systems. This methodology exploits the non-linear modelling capabilities of nonlinear state-space neural networks and the online weights adjustment by means of an unscented Kalman filter. Results from experiments show evidences on its good tracking performance even when the system’s dynamics change.

Robotica / Volume 28 / Special Issue 02 / March 2010, pp 321 339 DOI: 10.1017/S0263574709990592, Published online: 07 December 2009 Link to this article: http://journals.cambridge.org/abstract_S0263574709990592 How to cite this article: Ibrahim I. Esat and Neviman Ozada (2010). Articular human joint modelling. Robotica, 28, pp 321-339 doi:10.1017/ S0263574709990592 Request Permissions : Click here

Clark, Martyn P.; Kavetski, Dmitri; Fenicia, Fabrizio Reply to comment by K. Beven et al. on "Pursuing the method of multiple working hypotheses for hydrological modelling" Water Resources Research, 2012; 48(11):W11802 ©2012. American Geophysical Union. All Rights Reserved. The electronic version of this article is the complete one and can be found online at: http://onlinelibrary.wiley.com/doi/...

Human mobility mining has attracted a lot of attention in the research community due to its multiple implications in the provisioning of innovative services for large metropolises. In this scope, Online Social Networks (OSN) have arisen as a promising source of location data to come up with new mobility models. However, the human nature of this data makes it rather noisy and inaccurate. In orde...

In this paper we consider different strategies for constructing click-prediction models that can subsequently be used for audience segmentation and behavioural targeting. In particular, we address the question whether one should build separate models for each audience segment or instead build a single model that simultaneously predicts membership in multiple segments. We discuss the pros and co...

Opinion evolution and judgment revision are mediated through social influence. Based on a large crowdsourced in vitro experiment (n = 861), it is shown how a consensus model can be used to predict opinion evolution in online collective behaviour. It is the first time the predictive power of a quantitative model of opinion dynamics is tested against a real dataset. Unlike previous research on th...

The task of online change point detection in sensor data streams is often complicated due to presence of noise that can be mistaken for real changes and therefore affecting performance of change detectors. Most of the existing change detection methods assume that changes are independent from each other and occur at random in time. In this paper we study how performance of detectors can be impro...

In reviewing the current pattern of online news consumption across the globe and modelling major structural factors influencing this adoption, the author argues that the Internet, already a very important source of news, will become a major news medium in the years ahead.

In this paper DECOR, a conngurable integrated design ow mangement component that provides online monitoring and control of concurrent design processes, is described. Manipulations of data objects with arbitrary granularity from les or directories down to single structures can be considered. DECOR is based on extended Predicate Transition Nets as modelling paradigm.

this commentary explores the implications of increased social media marketing by drug manufacturers, based on findings in hyosun kim’s article of the major themes in recent food and drug administration (fda) warning letters and notices of violation regarding online direct-to-consumer promotions of pharmaceuticals. kim’s rigorous analysis of fda letters over a 10-year span highlights a relative ...