This presentation concerns the simulation of disordered voices. The synthesis is based on shaping functions, which are nonlinear memoryless inputoutput characteristics that transform a trigonometric driving function into a synthetic phonatory excitation signal. One advantage of the shaping fuction model is that the instantaneous frequency and the spectral balance of the phonatory excitation sig...

Asymptotic tracking is studied for systems which are not regular, that is th.e relative degree is not well defined. Hence the control law derived from exact inputoutput linearization has singularities in the state space. We propose a tracking control law which switches between an approximate tracking law [l] close to the singularities, and an exact tracking law away from the singularities, and ...

A passive piecewise-linear function approximation circuit with current input and output is presented. The gain of the circuit is controlled by switching diodes. The breakpoints and slopes of its inputoutput characteristic are set by resistances. Relations for computation of these resistances are given. As an application of the proposed circuit, a triangle to sine wave shaper is shown. Computer ...

This paper introduces ontology controlled model integration framework using inputoutput matching in the domain of biorefining. The framework builds upon the existing framework and replaces the Common Object Request Broker Architecture (CORBA) object bus with more flexible semantic repository. Semantic Web Services Description Ontologies (OWL-S) are used to describe model inputs, outputs, precon...

Elements of Kleene algebras can be used, among others, as abstractions of the inputoutput semantics of nondeterministic programs or as models for the association of pointers with their target objects. In the first case, one seeks to distinguish the subclass of elements that correspond to deterministic programs. In the second case one is only interested in functional correspondences, since it do...

Abshct Wavelet neural networks are investigated for learning a multidimensional inputoutput complex nonlinear function. The CNC turning process is modeled using Wavelet neural networks. The error on the component is different from the desired dimensions because of the dynamics of the machining system. The error, ifpredicted, apriori can be used for compensating the same thus improving the accur...

This paper studies the realizability property of bilinear input-output (i/o) models in the classical state space form. Constraints on the parameters of the bilinear i/o model are suggested that lead to realizable models. The complete list of 2nd and 3rd order realizable inputoutput bilinear models together with the corresponding state equations is given. In the general case some subclasses of r...

u = a(x) + b(x)v, (3) where b(x) is a nonsingular matrix, and v ∈ Rp is a transformed or virtual input, so that the inputoutput response between v and y is linear. This requirement is called input-output linearization because only the input-output map h is made linear. On the other hand, full state linearization refers to the case when the whole state x must be “linearized”. Linearization of th...

u = a(x) + b(x)v, (3) where b(x) is a nonsingular matrix, and v ∈ Rp is a transformed or virtual input, so that the inputoutput response between v and y is linear. This requirement is called input-output linearization because only the input-output map h is made linear. On the other hand, full state linearization refers to the case when the whole state x must be “linearized”. Linearization of th...

This paper discusses the determinants of product innovation in young innovative companies (YICs) by looking at in-house and external R&D and at the acquisition of external technology in embodied and disembodied components. These inputoutput relationships are tested on a sample of innovative Italian firms. A sampleselection approach is applied. Results show that in-house R&D is linked to the pro...