Predictive Control for Interval Type-2 Fuzzy System with Event-Triggered Scheme
In this paper, a synthesis approach of model predictive control (MPC) is proposed for interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy system with quantization error, bounded disturbance, and data loss. The novelty lies in the following technical improvements. In order to reduce the redundant data tr...
Saved in:
Main Authors: | Siyao Wang, Xiaoming Tang, Li Deng, Hongchun Qu, Linfeng Tian, Cheng Tan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-01-01
|
Series: | Advances in Fuzzy Systems |
Online Access: | http://dx.doi.org/10.1155/2019/9365767 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Resilient Event Triggered Interval Type-2 Fuzzy Sliding Mode Control for Connected and Autonomous Vehicles Subjected to Multiple Cyber Attacks
by: Amir Mohammed, et al.
Published: (2024-01-01) -
Observer-Based PID Security Control for Discrete-Time T-S Fuzzy Systems under Distributed Dynamic Event-Triggered Mechanism
by: Sisi Lin, et al.
Published: (2022-01-01) -
Numerical Scheme for Finding Roots of Interval-Valued Fuzzy Nonlinear Equation with Application in Optimization
by: Ahmed Elmoasry, et al.
Published: (2021-01-01) -
Characterizations of Ordered Semigroups by New Type of Interval Valued Fuzzy Quasi-Ideals
by: Jian Tang, et al.
Published: (2014-01-01) -
Comparison of Different Confidence Intervals under Type-I Censoring Scheme
by: Ali Algarni, et al.
Published: (2022-01-01)