We should incorporate practical methods to at least resolve problems of stable phase ambiguity resolutions and cycle slips (data gaps) for operational real-time PPP analyses (Ge et al. 2008; Li et al. 2013c, 2014; Guo and Zhang 2014).
The problem of finding stable grasps has been widely studied in robotics.
Based on complex numbers, they provide an alternative understanding of the problem of designing stable interval observers.
This paper deals with the problem of designing stable hierarchical control schemes within a Model Predictive Control (MPC) framework.
Such architecture allows to decouple the problem of dynamic stable walking in the two relatively simpler problems of gait generation and robot stabilization.
This paper addresses the problem of globally stable adaptive backstepping output-feedback tracking control for a class of nonlinear systems with unknown high-frequency gain sign.
In the new proposed approach, the problem of a stable real-time scheduling of jobs is considered at the shop-floor level.
In this paper, the problem of globally stable adaptive fuzzy tracking control is addressed for a class of uncertain nonlinear systems in the canonical form.
