We describe two techniques for rendering isosurfaces in multiresolution volume data such that the uncertainty (error) in the data is shown in the resulting visualization. In general the visualization of uncertainty in data is difficult, but the nature of isosurface rendering makes it amenable to an effective solution. In addition to showing the error in the data used to generate the isosurface,...

Reaching a target while remaining in a given set for impulse dynamics can be characterized by a non deterministic controlled differential equation and a controlled instantaneous reset equation. The set of initial conditions from which a given objective can be reached is calculated using the Hybrid Guaranteed Capture Basin Algorithm. This algorithm was developed in finance to evaluate options in...

Possibilistic networks are important tools for dealing with uncertain pieces of information. For multiplyconnected networks, it is well known that the inference process is a hard problem. This paper studies a new representation of possibilistic networks, called hybrid possibilistic networks. The uncertainty is no longer represented by local conditional possibility distributions, but by their co...

A robust hybrid control strategy, that coordinates feedback and switching, is proposed for a broad class of hybrid nonlinear processes with constrained inputs and uncertain dynamics. The proposed strategy involves the coordinated synthesis, via multiple Lyapunov functions, of a family of bounded robust nonlinear feedback controllers that stabilize the constituent modes of the hybrid system, tog...

Hybrid fuzzy expert systems are one of the most practical intelligent paradigm of soft computing techniques with the high potential for managing uncertainty associated to the medical diagnosis. The potential of genetic algorithm (GA) by inspiring from natural evolution as a learning and optimization technique has been vastly concentrated for improving fuzzy expert systems. In this paper, the GA...

The problem of controlling underwater mobile robots in 6 degrees of freedom (DOF) is addressed. Uncertainties in the input matrix due to partly known nonlinear thruster characteristics are modelled as multiplicative input uncertainty. This paper proposes two methods to compensate for the model uncertainties: (1) an adaptive passivity-based control scheme and (2) deriving a hybrid (adaptive and ...

An evaluated method based on Data envelopmentanalysis (DEA) to a second order conic robustcounterpart was developed and used to protect theperturbation of the output within an uncertaintyenvironment. This robust DEA was then evaluatedby studying the effect of the wood hardeningtreatment on the hybrid poplar clones. Thenumerical results indicated that the performa...

To improve the performance of multi-channel speech enhancement algorithms, we previously proposed a hybrid Wiener postfilter for microphone arrays under the assumption of a diffuse noise field [4]. In this paper, considering the speech presence uncertainty, we further improve the hybrid post-filter presented before by integrating a novel robust estimator for the a priori speech absence probabil...

This paper addresses one of the most important issues have been considered in hybrid MTS/MTO production environments. To cope with the problem, a mathematical programming model is applied from a tactical point of view. The model is converted to a fuzzy goal programming model, because a degree of uncertainty is involved in hybrid MTS/MTO context. Finally, application of the proposed model in an ...

The control programs of complex autonomous systems that have conditional branching can be modeled as linear hybrid systems. When the state knowledge is perfect, linear hybrid systems with statebased transition conditions can be verified against a specified unsafe set using existing model checking software. This paper introduces a formal method for calculating the failure probability due to stat...