Preface
Prescribed performance control of underactuated surface vessels' trajectory using a neural network and integral time-delay sliding mode
To tackle the underactuated surface vessel (USV) trajectory tracking challenge with input delays and composite disturbances, an integral time-delay sliding mode controller based on backstepping is discussed. First, the law of virtual velocity control is established by coordinate transformation and the position error is caused to converge utilizing the performance function. At the same time, based on the estimation of velocity vector by the high-gain observer (HGO), radial basis function (RBF) neural...
Prevalence of aquatic insects and arsenic concentration determine the geographical distribution of mycobacterium ulcerans infection.
Pricing rules under asymmetric information
We consider an extension of the Kyle and Back's model [Back, Rev. Finance Stud.5 (1992) 387–409; Kyle, Econometrica35 (1985) 1315–1335], meaning a model for the market with a continuous time risky asset and asymmetrical information. There are three financial agents: the market maker, an insider trader (who knows a random variable V which will be revealed at final time) and a non informed agent. Here we assume that the non informed agent is strategic, namely he/she uses a utility function to...
Principal concepts of systems fuzzification. Fuzzification of systems for technical and medical practice. I
Principal-agent approach to environmental improvements policies
Successful solution to any environmental problem implies working with Knightian uncertainty that explicitly deals with decision making under conditions of unstructured randomness. A 'wild' type of randomness that we will never discern due to its unstable properties makes the assignment of corresponding probabilities impossible. For that reason, the consideration of general economical factors within cost/benefit analysis must fail. So, instead of governmental intervention and a cup and trade scheme,...
Príspevok k určeniu konjugovaného gradientu v sústavách automatického riadenia
Probabilistic and fuzzy arithmetic approaches for the treatment of uncertainties in the installation of torpedo piles.
Probabilistic mixture-based image modelling
During the last decade we have introduced probabilistic mixture models into image modelling area, which present highly atypical and extremely demanding applications for these models. This difficulty arises from the necessity to model tens thousands correlated data simultaneously and to reliably learn such unusually complex mixture models. Presented paper surveys these novel generative colour image models based on multivariate discrete, Gaussian or Bernoulli mixtures, respectively and demonstrates...
Problem of averaging in digital measurements
Problem of optimal control with one-sided mixed restrictions for controlled objects described by integral equations with measure.
Problemas de control estocástico con información incompleta que admiten un proceso suficiente.
Se centra el estudio en los problemas de control estocástico con información incompleta de parámetro discreto.Se define para estos problemas un parámetro suficiente para el proceso básico y se demuestra que la clase de controles basados en éste es esencialmente completa.Como caso particular se estudia el modelo lineal normal y se ve la relación que existe entre el proceso suficiente definido para este modelo y el filtro de Kalman.
Problèmes à frontière libre et arbres de mesures
Problemes aux limites non classiques pour equations d'evolution.
Problèmes de contrôle pour des équations dispersives unidimensionnelles
Problèmes de temps d'arrêt optimal pour les systèmes distribués stochastiques
Problems in linear control theory
Problems of economic system optimization with quadratic criteria and monotone controls. Some algorithms for its numerical solution
Problems on semigroups and control.
Processus stochastiques quadratiques markoviens au sens projectif: application a l'identification d'un modèle bilinéaire.