Adaptive switching supervisory control of nonlinear systems with no prior knowledge of noise bounds

The problem of controlling nonlinear noisy systems affected by parametric uncertainties is approached via the introduction of a supervisor which, whenever needed, switches on, in feedback to the plant, a controller selected from a finite set of predesigned controllers. A Lyapunov-based falsification criterion allows one to ensure robust stability in the presence of uncertain constant parameters and exogenous bounded disturbances. Simulations are discussed in order to illustrate the merits of the proposed algorithms.     

Frequency domain identification of Wiener models

This paper proposes a frequency domain algorithm for Wiener model identifications based on exploring the fundamental frequency and harmonics generated by the unknown nonlinearity. The convergence of the algorithm is established in the presence of white noise. No a priori knowledge of the structure of the nonlinearity is required and the linear part can be nonparametric.     

Position synchronization of multiple motion axes with adaptive coupling control

A new control approach to position synchronization of multiple motion axes is developed, by incorporating cross-coupling technology into adaptive control architecture. The control strategy is to stabilize position tracking of each axis while synchronizing its motion with other axes’ motions so that differential position errors amongst axes converge to zero. The proposed adaptive controller and parameter estimator employ coupling control by feeding back position errors and differential position errors, and have been realized to guarantee asymptotic convergence to zero of both position and synchronization errors. Simulations conducted on a multi-axis motion control system demonstrate the effectiveness of the method.     

Nonlinear model predictive control with polytopic invariant sets

Ellipsoidal invariant sets have been widely used as target sets in model predictive control (MPC). These sets can be computed by constructing appropriate linear difference inclusions together with additional constraints to ensure that the ellipsoid lies within a given inclusion polytope. The choice of inclusion polytope has a significant effect on the size of the target ellipsoid, but the optimal inclusion polytope cannot in general be computed systematically. This paper shows that use of polytopic invariant sets overcomes this difficulty, allowing larger stabilizable sets without loss of performance. In the interests of online efficiency, consideration is focused on interpolation-based MPC.     

Frequency domain solution to delay-type Nehari problem

This paper generalizes the frequency-domain results on the delay-type Nehari problem in the stable case to the unstable case. The solvability condition of the delay-type Nehari problem is formulated in terms of the nonsingularity of three matrices. The optimal value γ_opt is the maximal γ∈(0,∞) such that one of the three matrices becomes singular. All sub-optimal compensators are parameterized in a transparent structure incorporating a modified Smith predictor.     

EM procedures using mean field-like approximations for Markov model-based image segmentation

Image segmentation using Markov random fields involves parameter estimation in hidden Markov models for which the EM algorithm is widely used. In practice, difficulties arise due to the dependence structure in the models and approximations are required. Using ideas from the mean field approximation principle, we propose a class of EM-like algorithms in which the computation reduces to dealing with systems of independent variables. Within this class, the simulated field algorithm is a new stochastic algorithm which appears to be the most promising for its good performance and speed, on synthetic and real image experiments.     

Determination of vitality from a non-invasive biomedical measurement for use in fingerprint scanners

Fingerprints are the oldest and most widely used biometrics for personal identification. Unfortunately, it is usually possible to deceive automatic fingerprint identification systems by presenting a well-duplicated synthetic or dismembered finger. This paper introduces one method to provide fingerprint vitality authentication in order to solve this problem. Detection of a perspiration pattern over the fingertip skin identifies the vitality of a fingerprint. Mapping the two-dimensional fingerprint images into one-dimensional signals, two ensembles of measures, namely static and dynamic measures, are derived for classification. Static patterns as well as temporal changes in dielectric mosaic structure of the skin, caused by perspiration, demonstrate themselves in these signals. Using these measures, this algorithm quantifies the sweating pattern and makes a final decision about vitality of the fingerprint by a neural network trained by examples.     

Particle-bombardment-mediated DNA vaccination with rotavirus VP4 or VP7 induces high levels of serum rotavirus IgG but fails to protect mice against challenge

We recently reported that epidermal immunization using the PowderJet particle delivery device with plasmid vector pcDNA1/EDIM6 encoding rotavirus VP6 of murine strain EDIM induced high levels of serum rotavirus IgG but failed to protect mice against EDIM infection (Choi, A. H., Knowlton, D. R., McNeal, M. M., and Ward, R. L. (1997) Virology 232, 129-138.). This was extended to determine whether pcDNA1/EDIM4 or pcDNA1/EDIM7, which encode either rotavirus VP4 or VP7, the rotavirus neutralization proteins, could also induce rotavirus-specific antibody responses and if these responses resulted in protection. Titers of rotavirus serum IgG increased with the first dose in mice immunized with pcDNA1/EDIM7, but little or no serum rotavirus IgG was detected in mice immunized with pcDNA1/EDIM4. In vitro assays with these plasmids in rabbit reticulocyte lysates showed that VP4 was expressed but the amount was considerably lower than VP6 or VP7. To improve expression of VP4 and induction of rotavirus-specific humoral responses, the coding region of VP4 was cloned into the high-expression plasmid WRG7054 as a fusion protein containing the 22-amino-acid secretory signal peptide of tissue plasminogen activator (tPA) at its N terminus. In vitro expression of tPA::VP4 was significantly higher than unmodified VP4, and mice inoculated with WRG7054/EDIM4 generated high titers of rotavirus IgG. The coding sequence of VP7 without the first 162 nucleotides was also cloned into WRG7054, but no difference was observed between titers of serum rotavirus IgG in mice immunized with this plasmid (WRG7054/EDIM7Delta1-162) and pcDNA1/EDIM7. The rotavirus-specific IgG titers in all immune sera were predominantly IgG1 indicating induction of Th 2-type responses. None of the mice immunized with any of the VP4 or VP7 plasmids developed serum or fecal rotavirus IgA or neutralizing antibody to EDIM. When immunized mice were challenged with EDIM virus, there was no significant reduction in viral shedding relative to unimmunized controls. Therefore epidermal immunization with VP4 or VP7 alone elicited rotavirus IgG responses but did not protect against homologous rotavirus challenge.