Recent advances on fuzzy-model-based nonlinear networked control systems: A survey

J Qiu, H Gao, SX Ding - IEEE Transactions on Industrial …, 2015 - ieeexplore.ieee.org
In recent years, the analysis and synthesis of fuzzy-model-based nonlinear networked
control systems (NCSs) have received increasing attention from both scientific and industrial …

Event-triggered fault detection filter design for a continuous-time networked control system

YL Wang, P Shi, CC Lim, Y Liu - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper studies the problem of event-triggered fault detection filter (FDF) and controller
coordinated design for a continuous-time networked control system (NCS) with biased …

Adaptively adjusted event-triggering mechanism on fault detection for networked control systems

YL Wang, CC Lim, P Shi - IEEE Transactions on Cybernetics, 2016 - ieeexplore.ieee.org
This paper studies the problem of adaptively adjusted event-triggering mechanism-based
fault detection for a class of discrete-time networked control system (NCS) with applications …

Model-based fuzzy control results for networked control systems

RE Precup, S Preitl, E Petriu… - Reports in …, 2020 - rme-journal.org
This paper discusses aspects concerning the design of model-based fuzzy controllers for
Networked Control Systems (NCSs). The stability analysis is related to the characteristic …

Network-based output tracking control for a class of TS fuzzy systems that can not be stabilized by nondelayed output feedback controllers

D Zhang, QL Han, X Jia - IEEE Transactions on Cybernetics, 2014 - ieeexplore.ieee.org
This paper investigates network-based output tracking control for a TS fuzzy system that can
not be stabilized by a nondelayed fuzzy static output feedback controller, but can be …

A distributed delay method for event-triggered control of T–S fuzzy networked systems with transmission delay

S Yan, M Shen, SK Nguang, G Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper presents the event-triggered control for Takagi-Sugeno (TS) fuzzy networked
systems with transmission delay. An integral-based model is proposed for designing a new …

[图书][B] Robust observer-based fault diagnosis for nonlinear systems using MATLAB®

J Zhang, AK Swain, SK Nguang - 2016 - Springer
The detection and isolation of faults in industrial systems is an important problem and has
attracted lots of attention from researchers around the globe during the past few decades …

Occupancy inference using pyroelectric infrared sensors through hidden Markov models

P Liu, SK Nguang, A Partridge - IEEE Sensors Journal, 2015 - ieeexplore.ieee.org
Occupancy awareness is important for appliance control, ubiquitous computing, and
analytics for enterprize real estate. In this paper, a low-cost, battery-powered, wireless …

Quasi-synchronization of time delay Markovian jump neural networks with impulsive-driven transmission and fading channels

H Rao, Y Xu, H Peng, R Lu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The problem of quasi-synchronization (QS) for the Markovian jump master-slave neural
networks with time-varying delay is studied in this article, where the mismatch parameters …

Sliding mode control for non‐linear systems by Takagi–Sugeno fuzzy model and delta operator approaches

J Wang, Y Gao, J Qiu, C Ki Ahn - IET Control Theory & …, 2017 - Wiley Online Library
This study considers the problem of adaptive sliding mode control for discrete‐time Takagi–
Sugeno (T–S) fuzzy systems with actuator faults and external disturbances via the delta …