Hybrid systems are systems where both the continuous and the discrete dynamics co-exist and interact with each other, that is they freely combine dynamical features from both these systems and are therefore claimed to be more challenging that the continuous dynamical systems.[1]. The fundamental feature is its nature of hybridness that enhances flexibility and proves perfect combination of disc...

Fault diagnosis is crucial for ensuring the safe operation of complex engineering systems. These systems often exhibit hybrid behaviours, therefore, model-based diagnosis methods have to be based on hybrid system models. Most previous work in hybrid systems diagnosis has focused either on parametric or discrete faults. In this paper, we develop an integrated approach for hybrid diagnosis of par...

In this paper we study the problem of automatically generating switching controllers for the class of Linear Hybrid Automata, with respect to safety objectives. While the same problem has been already considered in the literature, no sound and complete solution has been provided so far. We identify and solve inaccuracies contained in previous characterizations of the problem, providing a sound ...

The fermion determinant which results after integration of the fermions leads to non-local interactions among the gauge links Ux,μ making the cost for updating all links grow naively like O(V ), where V is the lattice volume. In the Hybrid Monte Carlo (HMC) algorithm, which is the standard method of numerical simulations with dynamical fermions, one uses an auxiliary bosonic pseudo-fermion fiel...

Close to the chiral limit, many calculations in numerical lattice QCD can potentially be accelerated using low-mode deflation techniques. In this paper it is shown that the recently introduced domain-decomposed deflation subspaces can be propagated along the field trajectories generated by the Hybrid Monte Carlo (HMC) algorithm with a modest effort. The quark forces that drive the simulation ma...

In hybrid simulation, the structure is divided into numerical and physical substructures to achieve more accurate responses in comparison to a full computational analysis. As a consequence of the lack of test facilities and actuators, and the budget limitation, only a few substructures can be modeled experimentally, whereas the others have to be modeled numerically. In this paper, a new hybrid ...

The efficiency measurement is a subject of great interest. The majority of studies on DEA models have been carried out using radial or non-radial approaches regarding the application of DEA for the efficiency measurement. This paper, based on the directional distance function, proposes a new generalized hybrid measure of efficiency under generalized returns to scale with the existence of both r...

Polygonal hybrid systems are a subclass of planar hybrid automata which can be represented by piecewise constant differential inclusions. Here, we study the problem of defining and constructing the phase portrait of such systems. We identify various important elements of it, such as viability and controllability kernels, and propose an algorithm for computing them all. The algorithm is based on...

A combined neural network and tabu search hybrid algorithm is proposed for solving the bilevel programming problem. To illustrate the approach, two numerical examples are solved and the results are compared with those in the literature. c © 2006 Elsevier Ltd. All rights reserved.