Abstract This special issue of Cadernos EBAPE.BR sought to provoke a reflection focused on uncertain consumption practices in an future. While prior marketing and consumer research has explored framed by institutionalized, known, more or less predictable context, the set articles approved this edition reveals different nuances. From experiential accounts grief role music coping with struggles i...

In this paper, we develop an analytical approach to planning air traffic flow management (TFM) strategies under uncertain weather. To do that, we model the dynamics of an air traffic flow under uncertain weather as a discrete jump-linear system, which enacts the tracking of transient traffic congestion statistics. We then conduct a sensitivity analysis of traffic congestion to disturbances intr...

This paper presents a state estimation approach for an uncertain linear equation with a non-invertible operator in Hilbert space. The approach addresses linear equations with uncertain deterministic input and noise in the measurements, which belong to a given convex closed bounded set. A new notion of a minimax observable subspace is introduced. By means of the presented approach, new equations...

The dynamics of self-confidence are modelled in an environment where rational individuals optimally choose educations and occupations with the aim to acquire productive skills while learning about ability. It is shown how the presence of uninformative options can trap individuals below their potential. Furthermore, the trade-off between probability of success and value of skills may induce unce...

An adaptive nonlinear control law that incorporates the manipulator dynamics as well as dynamics of the actuator is developed in this article. The technique is based on nonlinear feedback linearization. The electrical parameters of the actuator are considered to be of uncertain values. In contrast to known methods the robot position is the only measurement available, a nonlinear observer is des...

A dynamic neural network (DNN) based robust observer for uncertain nonlinear systems is developed. The observer structure consists of a DNN to estimate the system dynamics on-line, a dynamic filter to estimate the unmeasurable state and a sliding mode feedback term to account for modeling errors and exogenous disturbances. The observed states are proven to asymptotically converge to the system ...

In the rich repertoire of design methodologies for uncertain nonlinear systems, the problem of unmodeled dynamics has thus far received little attention. We initiate the investigation of nonlinear systems with input unmodeled dynamics. First we show that even in their simplest forms, they can result in dramatic shrinking of the region of attraction and in finite escape time. In this paper we in...

In this paper, a robust adaptive controller for a class of nonlinear uncertain discrete-time systems is developed by combining the backstepping procedures with a simple parameter estimator subject to parameter projection. It is shown that the proposed controller can ensure boundedness of all signals in the overall adaptive systems in the presence of unmodelled dynamics and disturbances. It can ...

This paper deals with robust synchronization of directed and undirected multiagent networks with uncertain agent dynamics. Given a network with identical nominal dynamics, we allow uncertainty in the form of coprime factor perturbations of the transfer matrix of the agent dynamics. These perturbations are assumed to be stable and have H∞-norm that is bounded by an a priori given desired toleran...