System modeling concerns modeling the operation of an unknown system from a set of measured input-output data and/or some prior knowledge (e.g., experience, expertise, or heuristics) about the system. It plays a very important role and has a wide range of applications in various areas such as control, power systems, communications, networks, machine intelligence, etc. To understand the underlyi...

We consider a frequency-domain solution to the leastsquares equation error identi cation problem using the power spectrum and the cross-spectrum of the IO (inputoutput) data to estimate the IO parametric transfer function. The proposed approach is shown to yield a unimodal performance surface, consistent identi cation in colored noise and su cient-order case, and stable tted models under underm...

In most control and engineering applications, the use of fuzzy system as a way to improve the humtzn-computer interaction has becoming popular. This paper reports on the use of fuzzy system in mineral processing specifically in determining the parameter d50c of hydrocyclone. However, wit,h the inputoutput data provided to build the fuzzy rule base, it normally results in a sparse fuzzy rule bas...

In this paper, we suggested an utility learning algorithm for tuning fuzzy rules by using training inputoutput data, based on the gradient descent method. The major advantage of this method is that fuzzy rules or membership functions can be learned without changing the form of the fuzzy rule table used in usual fuzzy controls, so that the case of weak-firing can be avoided well, which is differ...

Unstable dynamical systems can be viewed from a variety of perspectives. We discuss the potential of an inputoutput map associated with an unstable system to represent a bounded map from L2(R) to itself and then develop criteria for optimal reduced order approximations to the original (unstable) system with respect to an L2-induced Hilbert-Schmidt norm. Our optimality criteria extend the Meier-...

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...