Closed loop output error identi cation algorithms and recently developed algorithm for direct closed loop estimation of reduced order controllers [3, 5] despite their diversity have in fact a unifying basic ground which will be enhanced. The paper also will explore the interaction between closed loop plant model identi cation and direct estimation in closed loop of reduced order controllers. Th...

the problem discussed in this paper is the effect of latency time on the ogy chaos control methodology in multi chaotic systems. the smith predictor, rhythmic and memory strategies are embedded in the ogy chaos control method to encounter loop latency. a comparison study is provided and the advantages of the smith predictor approach are clearly evident from the closed loop responses. the comple...

An automated closed-loop insulin delivery system based on subcutaneous glucose sensing and subcutaneous insulin delivery was evaluated in 10 subjects with type 1 diabetes (2 men, 8 women, mean [+/-SD] age 43.4 +/- 11.4 years, duration of diabetes 18.2 +/- 13.5 years). Closed-loop control was assessed over approximately 30 h and compared with open-loop control assessed over 3 days. Closed-loop i...

Recently, with the environmental crisis, Green supply chain management (or GSCM), and in particular closed loop supply chain model, has received considerable attention by researchers. Closed loop supply chain model aims at reduction of waste and generating profit for enterprises through integrating forward and reverse logistics. Unfortunately, there is limited research on general models for clo...

This paper formulates a method to identify the open-loop dynamics of a system operating under closedloop conditions. The closed-loop excitation data and the feedback dynamics are assumed to be known. Two closed-loop configurations are considered where the system has either a linear output feedback controller or a dynamic output feedback controller. First, the closed-loop excitation data are use...

Due to the prediction loop, instability is a major difficulty in the design of a predictive quantizer. The conventional open-loop method enjoys good stability but suffers from poor performance. In contrast, the closed-loop method may be able to perform better but it can not guarantee a complete convergence and so it is unstable. Recently, the asymptotic closed-loop approach was proposed to bene...