The solving of least square systems is a useful operation in neurocomputational modeling of learning, pattern matching, and pattern recognition. In these last two cases, the soluti...
We are concerned with the problem of defining a complex, hybrid, agent based discrete system in a modular way. The modularity results from looking at the system from a number of di...
Marek A. Bednarczyk, Wieslaw Pawlowski, Luca Berna...
This paper takes a computational learning theory approach to a problem of linear systems identification. It is assumed that inputs are generated randomly from a known class consist...
In this paper we develop and present new convex synthesis conditions for robust performance in linear time-varying systems, subject to time-varying perturbations. In particular, th...
This paper compares six model checkers (Alloy, cadp, fdr2, NuSMV, ProB, Spin) for the validation of information system specifications. The same case study (a library system) is s...