— In this paper, we propose a new type of neural adaptive control via dynamic neural networks. For a class of unknown nonlinear systems, a neural identifierFbased feedback linea...
Abstract—This work develops a discrete-time dynamical feedback system model for a simplified TCP network with RED control and provides a nonlinear analysis that can help in unde...
This paper addresses the problem of stabilizing systems that evolve on SE(3). The proposed solution consists of an output-feedback controller that guarantees almost global asympto...
The tryptophan operon of E. coli represents an important regulatory unit consisting of multiple feedback loops. The role of these loops is crucial to understand the dynamics of tr...
Abstract. Temporal random variation of luminance in images can manifest in film and video due to a wide variety of sources. Typical in archived films, it also affects scenes rec...