Adaptive predictive control of systems with time-varying time delay

Author(s):  
Guy A. Dumont ◽  
Ashraf Elnaggar ◽  
Abdel Elshafei
2013 ◽  
Vol 415 ◽  
pp. 89-94 ◽  
Author(s):  
Pei Zhang Xie ◽  
Xing Peng Zhou

Chlorine dosing is a complicated system with time delay, time-varying, non-linear and coupling. In this paper, multivariable adaptive generalized predictive controller based on Smith predictor is proposed. Instead of the optimal predictor, the Smith predictor with adaptive identifying parameters can increase the robustness of the MIMO system. Simulation and application in water-works at Suzhou (China) shows that the algorithm can overcome time-varying, time delay and disturbance.


2013 ◽  
Vol 66 (2) ◽  
pp. 165-176 ◽  
Author(s):  
Vladimir Bobal ◽  
Marek Kubalcik ◽  
Petr Dostal ◽  
Jakub Matejicek

2014 ◽  
Vol 25 (14) ◽  
pp. 2328-2347 ◽  
Author(s):  
Giordano Pola ◽  
Pierdomenico Pepe ◽  
Maria Domenica Di Benedetto

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Xuehua Yan ◽  
Xinmin Song

This paper is the further investigation of work of Yan and Liu, 2011, and considers the global practical tracking problem by output feedback for a class of uncertain nonlinear systems with not only unmeasured states dependent growth but also time-varying time delay. Compared with the closely related works, the remarkableness of the paper is that the time-varying time delay and unmeasurable states are permitted in the system nonlinear growth. Motivated by the related tracking results and flexibly using the ideas and techniques of universal control and dead zone, an adaptive output-feedback tracking controller is explicitly designed with the help of a new Lyapunov-Krasovskii functional, to make the tracking error prescribed arbitrarily small after a finite time while keeping all the closed-loop signals bounded. A numerical example demonstrates the effectiveness of the results.


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