The transfer-matrix methodology is frequently used to deal with elastic scattering problems that require a solution of the Schrödinger or homogeneous Maxwell equations in the continuous part of their spectra. In its basic formulation, this technique however reveals limited by numerical instabilities, which can be drastically reduced by application of the layer addition algorithm. By providing e...

We consider the problem of energy-mass transfer from scattering to bound states for a one body quantum system uder the action of a time dependent point interaction. Under suitable assumptions on the initial state of the particle, we prove a result of local controllability of this process

Resin Transfer Molding (RTM) is a manufacturing process that involves injection of liquid resin into a closed mold cavity containing preset fiber mats and a subsequent curing stage. Mold filling is a crucial stage for quality part productions. In order to automate production and minimize the formation of defects, control of mold filling is needed. In this paper, direct adaptive control strategy...

Transfer function modeling is a standard technique in classical Linear Time Invariant and Statistical Process Control. The work of Box and Jenkins was seminal in developing methods for identifying parameters associated with classical (r, s, k) transfer functions. Computing systems are often fundamentally discrete and feedback control in these situations may require discrete event systems for mo...

In this paper we propose for scalar plants an adaptive LQG controller with adaptive input sensitivity function/loop transfer recovery of an associated adaptive LQ design. The sensitivity recovery can be viewed as a frequency-shaped loop recovery where the weights involve a sensitivity function. The adaptive loop/sensitivity recovery is achieved by feeding back the estimation residuals to the co...

We address the generalization and transfer of sensorimotor programs in robot systems. We use a factorable control-based approach that provides a natural, discrete abstraction of the underlying continuous state/action space and thus allows for the application of learning algorithms that converge in practical amounts of time. We argue that our approach provides an efficient means for the adaptati...

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We present DCL-PC: a logic for reasoning about how the abilities of agents and coalitions of agents are altered by transferring control from one agent to another. The logical foundation of DCL-PC is CL-PC, a logic for reasoning about cooperation in which the abilities of agents and coalitions of agents stem from a distribution of atomic Boolean variables to individual agents – the choices avail...

in the presented research, heat transfer of a mobile electrolyte alkaline fuel cell (afc) (which the electrolyte has cooling role of system) has been considered. proper control volumes of system with specific qualification have been chosen. consequently, heat and mass transfer in control volumes have been assessed. considerations on them and contributed models lead to approve a double tube heat...

A successful controller design paradigm must take into account both model uncertainty and design specifications. Model uncertainty can be addressed using either H, or 11 robust control theory, depending upon the uncertainty characterisation. However, these frameworks cannot accommodate the realistic case where the design specifications include both time and frequency domain constraints. In this...