scholarly journals Reducing the Impact of Uncertainties in Networked Control Systems Using Type-2 Fuzzy Logic

2015 ◽  
Vol 65 (6) ◽  
pp. 364-370 ◽  
Author(s):  
Blaho Michal ◽  
Murgaš J´n ◽  
Viszus Eugen ◽  
Fodrek Peter
Keyword(s):  
Control Systems ◽  
Time Delays ◽  
Fuzzy Controller ◽  
Networked Control Systems ◽  
Networked Control ◽  
Negative Effects ◽  
Packet Losses ◽  
Control Schemes ◽  
The Impact

Abstract The networked control systems (NCS) have grown in popularity in recent years. Despite their advantages over the traditional control schemes, some of their drawbacks emerged as well (time delays, packet losses). There are several ways of dealing with the time delays and packet losses in NCS, but only a few authors have ever used type-2 fuzzy controllers for this purpose to our knowledge. This paper is aimed at dealing with the negative effects that occur in NCS, by using type-2 fuzzy control systems. It is presented that this approach can be successfully used to decrease the effects of time delays and packet losses. A type-2 fuzzy controller has been designed and compared to a type-1 fuzzy controller. The intervals of type-2 fuzzy controller were optimized via genetic algorithm.

GUARANTEED COST CONTROL OF NETWORKED CONTROL SYSTEMS WITH TIME-DELAYS AND PACKET LOSSES

2006 ◽  
Vol 04 (04) ◽  
pp. 691-706 ◽  
Author(s):  
SHANBIN LI ◽  
YONGQIANG WANG ◽  
FENG XIA ◽  
YOUXIAN SUN
Keyword(s):  
Control Systems ◽  
Time Delays ◽  
Cost Control ◽  
Networked Control Systems ◽  
Guaranteed Cost Control ◽  
Networked Control ◽  
Linear Matrix ◽  
Packet Losses ◽  
Markovian Jump Linear Systems ◽  
Guaranteed Cost

In this paper, the random time-delays and packet losses issues of networked control systems (NCS) within the framework of guaranteed cost control for Markovian jump linear systems (MJLSs) are addressed. A new delay-dependent sufficient condition for the existence of guaranteed cost controller and an upper bound of the cost function are presented by a new stochastic Lyapunov–Krasovskii functional. The state feedback problem for such system is formulated as a convex optimization over a set of linear matrix inequalities (LMIs) which can be very efficiently solved by interior-point methods. As examples to verify the proposed method, two plants in the networked setup are considered. The simulation results demonstrate the effectiveness of the method.

H∞ stabilisation of networked control systems with time delays and packet losses

2014 ◽  
Vol 24 (5) ◽  
Author(s):  
HONGBO LI ◽  
FUCHUN SUN ◽  
ZENGQI SUN ◽  
CHANGQING YUAN
Keyword(s):  
Control Systems ◽  
Time Delays ◽  
State Feedback ◽  
Controller Design ◽  
Networked Control Systems ◽  
Design Method ◽  
Networked Control ◽  
Closed Loop System ◽  
Packet Losses ◽  
The Stability

This paper addresses the H∞ state feedback stabilisation problem for networked control systems (NCSs) in the presence of time delays and packet losses. By introducing the concept of an effective sensor packet, the NCS is transformed into a new discrete-time switched model, where the parameters have a clear physical meaning and can be easily determined. In this framework, we derive the stability conditions of the closed-loop system in the H∞ sense, and also provide the corresponding H∞ stabilising controller design method. Finally, we give simulation and experimental results to demonstrate the effectiveness of the proposed approaches.

Optimal Fault Diagnosis for Networked Control Systems with Large Time-delays and Noises

2012 ◽  
Vol 38 (5) ◽  
pp. 858-864 ◽  
Author(s):  
Juan LI ◽  
You-Gang ZHAO ◽  
Yang YU ◽  
Peng ZHANG ◽  
Hong-Wei GAO
Keyword(s):  
Fault Diagnosis ◽  
Control Systems ◽  
Time Delays ◽  
Large Time ◽  
Networked Control Systems ◽  
Networked Control

scholarly journals How to Simulate Networked Control Systems with Variable Time Delays?

2020 ◽  
Vol 53 (2) ◽  
pp. 3098-3103
Author(s):  
Martin Steinberger ◽  
Markus Tranninger ◽  
Martin Horn ◽  
Karl Henrik Johansson
Keyword(s):  
Control Systems ◽  
Time Delays ◽  
Networked Control Systems ◽  
Networked Control ◽  
Variable Time
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