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Jun-Wei Wang
University of Science and Technology Beijing
46Publications
13H-index
675Citations
Publications 46
Newest
Jun-Wei Wang13
Estimated H-index: 13
(USTB: University of Science and Technology Beijing)
The problem of dynamic boundary fuzzy control design is investigated in this paper for nonlinear parabolic partial differential equation (PDE) systems with spatially noncollocated discrete observation. Two cases of noncollocated discrete observation in space (i.e., pointwise observation in space and local piecewise uniform observation in space) are considered, respectively. The spatially noncollocated discrete observation makes the control design very difficult. Such design difficulty can be sur...
Published on Jan 1, 2018in IEEE Transactions on Fuzzy Systems 8.76
Jun-Wei Wang13
Estimated H-index: 13
(USTB: University of Science and Technology Beijing),
Han-Xiong Li44
Estimated H-index: 44
(CityU: City University of Hong Kong)
This paper presents a Lyapunov and partial differential equation (PDE)-based methodology to solve static collocated piecewise fuzzy control design of quasi-linear parabolic PDE systems subject to periodic boundary conditions. Two types of piecewise control, i.e., globally piecewise control and locally piecewise control are considered, respectively. A Takagi–Sugeno (T–S) fuzzy PDE model that is constructed via local sector nonlinearity method is first employed to accurately describe spatiotempora...
Published on May 1, 2019in Automatica 6.36
Jun-Wei Wang13
Estimated H-index: 13
(USTB: University of Science and Technology Beijing),
Jun-Ming Wang15
Estimated H-index: 15
(BIT: Beijing Institute of Technology),
Jun-Min Wang (BIT: Beijing Institute of Technology)
This paper addresses distributed mixed H2∕H∞ sampled-data output feedback control design for a semi-linear parabolic partial differential equation (PDE) with external disturbances in the sense of spatial L∞ norm. Under the assumption that a finite number of local piecewise measurements in space are available at sampling instants, a static sampled-data output feedback controller is suggested, where the sampling interval in time is bounded. The local piecewise measurements bring additional difficu...
Ya-Qiang Liu3
Estimated H-index: 3
(USTB: University of Science and Technology Beijing),
Jun-Wei Wang13
Estimated H-index: 13
(USTB: University of Science and Technology Beijing)
+ 0 AuthorsChangyin Sun15
Estimated H-index: 15
(SEU: Southeast University)
Published on Mar 1, 2019in Fuzzy Sets and Systems 2.91
Jun-Wei Wang13
Estimated H-index: 13
(USTB: University of Science and Technology Beijing),
Huai-Ning Wu37
Estimated H-index: 37
(Beihang University)
Abstract This paper addresses fuzzy control design for a class of nonlinear systems which are described by nonlinear ordinary differential equations (ODEs) cascaded with an Euler-Bernoulli beam (EBB) equation. Two design difficulties are involved in the control design addressed in this paper. The first one is caused by the EBB equation whose spatiotemporal dynamics is affected by the output of the nonlinear ODE subsystem through its differential equation rather than boundary conditions. A state ...
Published on Oct 1, 2018in IEEE Transactions on Fuzzy Systems 8.76
Jun-Wei Wang13
Estimated H-index: 13
(CityU: City University of Hong Kong),
Tsai Shun-Hung2
Estimated H-index: 2
(NTUT: National Taipei University of Technology)
+ 1 AuthorsHak-Keung Lam43
Estimated H-index: 43
('KCL': King's College London)
This paper employs a Takagi–Sugeno (T-S) fuzzy partial differential equation (PDE) model to solve the problem of sampled-data exponential stabilization in the sense of spatial L^\inftynorm \Vert \cdot \Vert _\inftyfor a class of nonlinear parabolic distributed parameter systems (DPSs), where only a few actuators and sensors are discretely distributed in space. Initially, a T-S fuzzy PDE model is assumed to be derived by the sector nonlinearity method to accurately describe complex spatiote...
Published on Aug 1, 2018in IEEE Transactions on Fuzzy Systems 8.76
Huan-Yu Zhu2
Estimated H-index: 2
(Beihang University),
Huai-Ning Wu37
Estimated H-index: 37
(Beihang University),
Jun-Wei Wang13
Estimated H-index: 13
(USTB: University of Science and Technology Beijing)
This paper investigates the guaranteed cost fuzzy control (GCFC) problem for a class of nonlinear systems modeled by an n-dimension ordinary differential equation (ODE) coupled with a semilinear scalar parabolic partial differential equation (PDE). A Takagi–Sugeno (T–S) fuzzy coupled parabolic PDE-ODE model is initially proposed to accurately represent the nonlinear coupled system. Then, on the basis of the T–S fuzzy coupled model, a GCFC design is developed in terms of linear matrix inequali...
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