We consider inverse problems in atmospheric modelling. Instead of using the ordinary least squares, we add a weighting matrix based on the topology of measurement points and show the connection with Bayesian modelling. Since the source–receptor sensitivity matrix is usually ill-conditioned, the problem is often regularized, either by perturbing the objective function or by modifying the sensiti...

We present two applications of adjoint modelling with the objective of diagnosing and simulating air pollution in an urban atmosphere. The concerned city is Paris and its surroundings. The first application is the sensitivity of an afternoon ozone peak to anthropogenic emissions and reaction rates. We show in particular the diurnal profile of sensitivity. Despite the paper being mostly methodol...

Compared with serial structured machine tools and robots, parallel kinematic machine tools and robots have many advantages. Many different topologies of parallel mechanisms with 3-6 DOF have been used. Considering that some limitations are indeed due to the use of parallel mechanisms, it is appealing to investigate architectures based on hybrid arrangements where serial and parallel concepts ar...

This paper presents a neuro-fuzzy internal model Cartesian controller for robot manipulators. An inductive learning technique is applied to generate the required inverse dynamics and inverse kinematics modelling rules from input/output measurements. A fully differentiable fuzzy neural network is used to construct the adaptive sections of the controller for on-line parameters adaptation. A fuzzy...

Recently, a number of reversible functional programming languages have been proposed. Common to several of these is the assumption of totality, a property that is not necessarily desirable, and certainly not required in order to guarantee reversibility. In a categorical setting, however, faithfully capturing partiality requires handling it as additional structure. Recently, Giles studied invers...

Recently, a number of reversible functional programming languages have been proposed. Common to several of these is the assumption of totality, a property that is not necessarily desirable, and certainly not required in order to guarantee reversibility. In a categorical setting, however, faithfully capturing partiality requires handling it as additional structure. Recently, Giles studied invers...

Recent research uncovers that goal directed sensorimotor behaviour is governed by negative feedback of positional error, and by feedforward through inverse modelling of the limb’s dynamics. Thereby, forward models seem to provide the kinematic state of the limb. The question addressed in the paper is, how the neural network representing the inverse model can be trained. Because in this case an ...

The composite autoregressive system can be used to estimate a speech source-filter decomposition in a rigorous manner, thus having potential use in glottal inverse filtering. By introducing a suitable prior, spectral tilt can be introduced into the source component estimation to better correspond to human voice production. However, the current expectationmaximisation based composite autoregress...

Networks for the blind channel equalization can be designed as a combination of a prewhitening lter (adjusted by means of 2nd-order statistics) and an inverse all-pass system (adjusted by 4th-order statistics). In this paper an appropriate FIR approximation of inverse all-pass systems is presented. On the other hand the inverse all-pass modelling can be avoided if the minimum phase prewhitening...