Recently, a framework for controller design of sampled-data nonlinear systems via their approximate discrete-time models has been proposed in the literature. In this paper, we develop novel tools that can be used within this framework and that are useful for tracking problems. In particular, results for stability analysis of parameterized time-varying discrete-time cascaded systems are given. This class of models arises naturally when one uses an approximate discrete-time model to design a stabilizing or tracking controller for a sampled-data plant. While some of our results parallel their continuous-time counterparts, the stability properties that are considered, the conditions that are imposed, and the the proof techniques that are used, are tailored for approximate discrete-time systems and are technically different from those in the continuous-time context. A result on constructing strict Lyapunov functions from nonstrict ones that is of independent interest, is also presented. We illustrate the utility of our results in the case study of the tracking control of a mobile robot. This application is fairly illustrative of the technical differences and obstacles encountered in the analysis of discrete-time parameterized systems.

In this paper, we described osseous anatomy of the orbital apex using CT in axial and coronal projections. The main osseous landmarks facilitate the evaluation of orbital apex in radiology, especially on the axial and coronal CT scans. These landmarks include so called optic strut, small segment of the greater wing of the sphenoid bone and upper part of the pterygopalatine fossa. We also concentrate attention upon visualisation and review of the optic canal, superior and inferior orbital fissure, pterygopalatine fossa and foramen rotundum.