On Stochastic Control of Networked Control Systems Based on Hidden Markov Models

2008 ◽  
Author(s):  
Weihua Pan ◽  
Pu Han ◽  
Lijing Zhang ◽  
Tiankun Wang
Keyword(s):  
Control Systems ◽  
Hidden Markov Models ◽  
Stochastic Control ◽  
Markov Models ◽  
Networked Control Systems ◽  
Hidden Markov ◽  
Networked Control

A DUAL-MODEL JUMPING FUZZY SYSTEM APPROACH TO NETWORKED CONTROL SYSTEMS DESIGN

2010 ◽  
Vol 20 (01) ◽  
pp. 51-62 ◽  
Author(s):  
FENGGE WU ◽  
FUCHUN SUN ◽  
HUAPING LIU
Keyword(s):  
Control Systems ◽  
Fuzzy System ◽  
Markov Models ◽  
Networked Control Systems ◽  
Systems Design ◽  
Networked Control ◽  
Dual Model ◽  
Nonlinear Networked Control Systems ◽  
Nonlinear Matrix Inequality ◽  
Control Systems Design

A discrete-time jump fuzzy system with two hidden Markov models (HMMs) is proposed to portray the asymmetric network characteristic of a class of nonlinear networked control systems (NCSs) with random but bounded communication delays and packets dropout. The less conservative state feedback controller and the dual-model-depend guaranteed cost controller are designed base on the model. A homotopy- based iterative algorithm solving for nonlinear matrix inequality (NMI) is developed to get the control gains. Simulation examples are carried out to show the effectiveness of the proposed approaches.

scholarly journals H∞Stochastic Control of a Class of Networked Control Systems with Time Delays and Packet Dropouts

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Jufeng Wang ◽  
Chunfeng Liu ◽  
Kai Li
Keyword(s):  
Control Systems ◽  
Stochastic Control ◽  
Time Delays ◽  
Networked Control Systems ◽  
Networked Control ◽  
Disturbance Attenuation ◽  
Linear Matrix ◽  
Packet Dropouts ◽  
Attenuation Level ◽  
Disturbance Attenuation Level

This paper studies theH-infinity stochastic control problem for a class of networked control systems (NCSs) with time delays and packet dropouts. The state feedback closed-loop NCS is modeled as a Markovian jump linear system. Through using a Lyapunov function, a sufficient condition is obtained, under which the system is stochastically exponential stability with a desiredH-infinity disturbance attenuation level. The designedH-infinity controller is obtained by solving a set of linear matrix inequalities with some inversion constraints. An numerical example is presented to demonstrate the effectiveness of the proposed method.

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