Affiliation:
1. Electrical Engineering Department, Shahid Beheshti University, Tehran 1719-16765, Iran
Abstract
Abstract
In this paper, two novel adaptive control strategies are presented based on the linear matrix inequality for nonlinear Lipschitz systems. The proposed approaches are developed by creatively using Krasovskii stability theory to compensate parametric uncertainty, unknown time-varying internal delay, and bounded matched or mismatched disturbance effects in closed-loop system of nonlinear systems. The online adaptive tuning controllers are designed such that reference input tracking and asymptotic stability of the closed-loop system are guaranteed. A novel structural algorithm is developed based on linear matrix inequality (LMI) and boundaries of the system delay or uncertainty. The capabilities of the proposed tracking and regulation methods are verified by simulation of three physical uncertain nonlinear system with real practical parameters subject to internal or state time delay and disturbance.
Subject
Applied Mathematics,Mechanical Engineering,Control and Systems Engineering,Applied Mathematics,Mechanical Engineering,Control and Systems Engineering
Reference54 articles.
1. Delay-Dependent Adaptive Dynamic Surface Control for Nonlinear Strict-Feedback Delayed Systems With Unknown Dead Zone;J. Franklin Inst.,2016
2. Delay-Probability-Distribution-Dependent Stability Criteria for Discrete-Time Stochastic Neural Networks With Random Delays;Adv. Difference Equations,2013
3. Delay-Probability-Distribution-Dependent Stability of Uncertain Stochastic Genetic Regulatory Networks With Time-Varying Delays;Circuits, Syst. Signal Process.,2013
4. Probability Distributed Time Delays Integrating Spatial Effects Into Temporal Models;BMC Syst. Biol.,2010
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献