ORCID Profile
0000-0002-0609-0129
Current Organisation
Northwest Agriculture and Forestry University
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Publisher: Elsevier BV
Date: 09-2018
Publisher: Elsevier BV
Date: 2018
Publisher: Springer Science and Business Media LLC
Date: 22-11-2016
Publisher: Institution of Engineering and Technology (IET)
Date: 05-2017
Publisher: Elsevier BV
Date: 2017
Publisher: ASME International
Date: 09-2015
DOI: 10.1115/1.4029783
Abstract: This paper investigates the fuzzy predictive control for a class of nonlinear system with constrains under the condition of noise. Based on the fuzzy linearization theory, a class of nonlinear systems can be described by the Takagi–Sugeno (T–S) fuzzy model. The T–S fuzzy model and predictive control are combined to stabilize the proposed class of nonlinear system, and the detailed mathematical derivation is given. Moreover, the designed controller has been optimized even if the system is constrained by output and control input, or perturbed by external disturbances. Finally, numerical simulations including three-dimensional Lorenz system, four-dimensional Chen system and five-dimensional nonlinear system with external disturbances are presented to demonstrate the universality and effectiveness of the proposed scheme. The approach proposed in this paper is simple and easy to implement and also provides reference for relevant nonlinear systems.
Publisher: American Society of Civil Engineers (ASCE)
Date: 10-2017
Publisher: Elsevier BV
Date: 10-2020
Publisher: Elsevier BV
Date: 02-2019
Publisher: Elsevier BV
Date: 04-2017
No related grants have been discovered for Diyi Chen.