We propose a controller architecture for soft-landing control with quantized input.
A tree structure plays an important role in designing adaptive control with quantized information.
This paper investigates the robust H∞ dynamic output feedback control problem for networked control systems (NCSs) with quantized measurements.
Brittle fracture is investigated both numerically (with ad hoc hierarchical simulations) and theoretically (with quantized fracture theories) for nanotubes, graphene and related bundles.
The proposed algorithm deals with quantized data.
A common problem with quantizing real numbers into bins is deciding how many bins to use, and to this end we again appeal to information theory.
In superlattice nanowire systems formed by different host materials, the phonon modes can be quantized and the conducting electrons are confined along the wire direction.
This paper addresses the stabilization problem for single-input Markov jump linear systems via mode-dependent quantized state feedback.
In this paper, we propose a new adaptive output-feedback tracking control scheme for a class of uncertain nonlinear systems with input quantized by a newly-proposed quantizer.
