As a new pattern classification method, Nearest Feature Line (NFL) provides an effective way to tackle the sort of pattern recognition problems where only limited data are available for training. In this paper, we explore the use of NFL for speaker identification in terms of limited data and examine how the NFL performs in such a vexing problem of various mismatches between training and test. I...

This paper discusses the on-line frequency identification problem for a measured sinusoidal signal by using the adaptive method and filter theory. The proposed method is based on an identity between the sinusoidal signal and its second order derivative. For a set of chosen parameters, the proposed method is robust to the initial phase, the amplitude, and the frequency in a wide range. The conve...

This paper will present recent advances in algorithms developed to achieve accurate on-line ID. These algorithms use and reference the MCRLS ID algorithm [1]. Initial mass-property ID algorithms as developed for the X-38 v.201 spacecraft and Mini-AERCam [2] are updated and extended here. Experimental results validating a subset of these algorithms on the MIT SPHERES spacecraft in zero-g aircraf...

We present an approach to the problem of real-time identification of vehicle motion models based on fitting, on a continuous basis, parametrized slip models to observed behavior. Our approach is unique in that we generate parametric models capturing the dynamics of systematic error (i.e. slip) and then predict trajectories for arbitrary inputs on arbitrary terrain. The integrated error dynamics...

The paper addresses the problem of diagnosing complex embedded systems. Given a flow of observations from the system, the goal is to explain these observations by identifying possible failures. Approaches that efficiently compute the possible failures, like the classical diagnoser approach, suffer from high space complexity. This paper presents a method that generalises the observable behaviour...

In developing secure applications and systems, the designers often must incorpomte secure user identifi­ cation in the design specification. In this paper, we study secure off-line authenticated user identification schemes based on a biometric system that can measure a user's biometric accumtely (up to some Hamming distance). The schemes presented here enhance iden­ tification and authorization...

It is well known that Induction motors are used worldwide as the “workhorse” in industrial applications. Although, these electromechanical devices are highly reliable, they are susceptible to many types of faults. Such fault can become catastrophic and cause production shutdowns, personal injuries and waste of raw material. However, induction motor faults can be detected in an initial stage in ...

Laguerre function has many advantages such as good approximation capability for different systems, low computational complexity and the facility of on-line parameter identification. Therefore, it is widely adopted for complex industrial process control. In this work, Laguerre function based adaptive model predictive control algorithm (AMPC) was implemented to control continuous stirred tank rea...

Phase and cable identification is a challenging issue. Power-line communication technology is applied to identify cable and phase of power distribution systems. Power cable circuits have only a limited ability to carry higher frequencies. Typically transformers prevent propagating the higher frequency carrier signal. The proposed method uses the limited propagation ability to identify the cable...