Optimal control algorithm of constrained fuzzy system integrating sliding mode control and model predictive control
type: Item
instance of: scholarly article
title: Optimal control algorithm of constrained fuzzy system integrating sliding mode control and model predictive control
zbMATH Open document ID: 1394.93055
DOI: 10.1155/2015/897853
author: Chonghui Song
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: The sliding mode control and the model predictive control are connected by the value function of the optimal control problem for constrained fuzzy system. New conditions for the existence and stability of a sliding mode are proposed. Those conditions are more general conditions for the existence and stability of a sliding mode. When it is applied to the controller design, the design procedures are different from other sliding mode control (SMC) methods in that only the decay rate of the sliding mode motion is specified. The obtained controllers are state-feedback model predictive control (MPC) and also SMC. From the viewpoint of SMC, sliding mode surface does not need to be specified previously and the sliding mode reaching conditions are not necessary in the controller design. From the viewpoint of MPC, the finite time horizon is extended to the infinite time horizon. The difference with other MPC schemes is that the dependence on the feasibility of the initial point is canceled and the control schemes can be implemented in real time. Pseudosliding mode model predictive controllers are also provided. Closed loop systems are proven to be asymptotically stable. Simulation examples are provided to demonstrate proposed methods.
Mathematics Subject Classification ID: 93B12
zbMATH DE Number: 6927497
Wikidata QID: Q59120199
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/897853
OpenAlex ID: W1963489008
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description: scientific article; zbMATH DE number 6927497