In many practical RFID applications tags are attached to items that pass through the reader’s field moving at a constant speed, following a fixed path. The time-constrained presence of the tags in the identification region introduce the possibility that tags exit the system without being identified (lost tags). Reliability is a practical requirement in most applications, which implies that the ...

Recently, a number of researchers have proposed spectral algorithms for learning models of nonlinear dynamical systems—for example, Hidden Markov Models (HMMs) [1, 2], Partially Observable Markov Decision Processes (POMDPs) [3], and Predictive State Representations (PSRs) [4, 3, 5]. These algorithms are attractive since they are statistically consistent and not subject to local optima. However,...

The problem of optimal approximate system identification is addressed with a newly defined measure of misfit between observed time series and linear time-invariant models. The behavioral framework is used as a suitable axiomatic setting for a oonparametric introduction of system complexity and a notion of misfit of dynamical systems which is independent of system representations. The misfit fun...

I propose a quantum-trajectories approach to parametric identification of the effective Hamiltonian for a Markovian open quantum system, and discuss an application motivated by recent experiments in cavity quantum electrodynamics. This example illustrates a strategy for quantum parameter estimation that efficiently utilizes the information carried by correlations between measurements distribute...

Usage of fuzzy differential equations (FDEs) is a natural way to model dynamical systems under possibilistic uncertainty. We consider second order hybrid fuzzy differentia

The identification of nonlinear multi-input multi-output (MIMO) processes is important and challenging problem. Fuzzy systems have been effectively used to identify complex nonlinear dynamical systems, but mostly single-input single-output systems are considered. This paper presents a compact Takagi-Sugeno fuzzy model that can be effectively used to represent MIMO dynamical systems. For the ide...