J
Jianbin Qiu
Researcher at Harbin Institute of Technology
Publications - 272
Citations - 14372
Jianbin Qiu is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Fuzzy logic & Nonlinear system. The author has an hindex of 64, co-authored 232 publications receiving 11635 citations. Previous affiliations of Jianbin Qiu include University of Science and Technology of China & University of Duisburg-Essen.
Papers
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Journal ArticleDOI
A Combined Adaptive Neural Network and Nonlinear Model Predictive Control for Multirate Networked Industrial Process Control
Tong Wang,Huijun Gao,Jianbin Qiu +2 more
TL;DR: Considering the dynamics of the overall closed-loop system, nonlinear model predictive control method is proposed to guarantee the system stability and compensate the network-induced delays and packet dropouts and to demonstrate the effectiveness of the proposed method.
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A New Approach to Stability Analysis and Stabilization of Discrete-Time T-S Fuzzy Time-Varying Delay Systems
TL;DR: This paper investigates the problems of stability analysis and stabilization for a class of discrete-time Takagi-Sugeno fuzzy systems with time-varying state delay with a novel fuzzy Lyapunov-Krasovskii functional and proposes a delay partitioning method.
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Observer-Based Fuzzy Adaptive Event-Triggered Control for Pure-Feedback Nonlinear Systems With Prescribed Performance
TL;DR: This paper studies the problem of fuzzy adaptive event-triggered control for a class of pure-feedback nonlinear systems, which contain unknown smooth functions and unmeasured states, and relaxes the restrictive condition that the partial derivatives of system functions need to be known for pure- feedback non linear systems.
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Fuzzy-Model-Based Reliable Static Output Feedback $\mathscr{H}_{\infty }$ Control of Nonlinear Hyperbolic PDE Systems
TL;DR: Two approaches are developed for reliable fuzzy static output feedback controller design of the underlying fuzzy PDE systems and it is shown that the controller gains can be obtained by solving a set of finite linear matrix inequalities based on the finite-difference method in space.
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A New Design of Delay-Dependent Robust ${\cal H}_{\bm \infty}$ Filtering for Discrete-Time T--S Fuzzy Systems With Time-Varying Delay
Jianbin Qiu,Gang Feng,Jie Yang +2 more
TL;DR: It is shown that by using a simple linearization technique incorporating a bounding inequality, a unified framework can be developed such that both the full-order and reduced-order filters can be obtained by solving a set of linear matrix inequalities (LMIs), which are numerically efficient with commercially available software.