NDLI: Adaptive tube-based model predictive control for linear systems with parametric uncertainty

Content Provider	IET Digital Library
Author	Fesharaki, Sh. Jafari Kamali, M. Sheikholeslam, F.
Abstract	A tube-based robust model predictive control (MPC) is proposed to be applied in constrained linear systems with parametric uncertainty. An estimation method is applied in this proposed technique to adapt the system model at each sampling time and to reduce the conservatism nature of the tube-based MPC as the system model approaches the real model as time passes. By updating the subject model online through this newly proposed approach the performance of the system is improved. Asymptotic stability of the closed-loop system is established. The simulation results of a DC motor are applied to illustrate the effectiveness of this proposed controller in dealing with one practical system.
Starting Page	2947
Ending Page	2953
Page Count	7
ISSN	17518644
Volume Number	11
e-ISSN	17518652
Issue Number	Issue 17, Nov (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/11/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2017.0228
Journal	IET Control Theory & Applications
Publisher Date	2017-08-23
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Control Adaptive Tube-based Robust Model Predictive Control Asymptotic Stability Closed Loop System Closed-loop System Conservatism Reduction Constrained Linear System Control of Electric Power System D.C. Machines DC Motor DC Motors Estimation Method Linear System Machine Control Optimal Control Parametric Uncertainty Predictive Control Robust Control Sampling Time Self Adjusting Control System Stability in Control Theory Tube-based Robust MPC Uncertain System
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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