A Gain-Schedule Adaptive LQG Control for Networked Systems with Time Delay and Packet Dropout

2012 ◽  
Vol 236-237 ◽  
pp. 1067-1071
Author(s):  
Li Zhen Wu ◽  
Xiao Hong Hao
Keyword(s):  
Time Delay ◽  
Controller Design ◽  
Networked Control Systems ◽  
Networked Systems ◽  
Packet Dropout ◽  
Discrete Time System ◽  
Data Packet Dropout ◽  
Gain Schedule ◽  
Optimization Control ◽  
Lqg Control

This paper studies the coordinate optimization control problem of networked control systems (NCSs) with random time delay and packet dropout. A discrete-time system model of NCSs with time-delays and data packet dropout is proposed. A method of state estimation base on extra kalman filter is given. Then a gain-schedule adaptive LQG control strategy base on effective delay-estimation online is proposed. The result illustrate that the effectiveness of the proposed controller design and the satisfactory performance of the system.

scholarly journals Predictive Compensation for Wireless Networked System with Time Delay and Packet Dropout Based on T-S Model

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Le Wang ◽  
Haipeng Pan ◽  
Jinfeng Gao ◽  
Dongdong Chen
Keyword(s):  
Time Delay ◽  
Networked Control Systems ◽  
The State ◽  
Packet Dropout ◽  
Pendulum System ◽  
Networked System ◽  
Data Packet Dropout ◽  
State Observation ◽  
Inverted Pendulum System ◽  
S Model

Based on the T-S model, a predictive compensation scheme including timer and counter for wireless networked system with long time delay and data packet dropout is proposed in this paper. By the separation principle, the state observation predictor and the state feedback controller are designed separately. For the case of fixed delay, the stability of the closed-loop networked control systems is discussed. Simulation by inverted pendulum system illustrates the effectiveness of the proposed method in wireless networked system based on T-S model.

H∞ Control for Networked Systems with Random Time Delay and Data Packet Dropout

2012 ◽  
Vol 490-495 ◽  
pp. 1039-1043 ◽  
Author(s):  
Li Zhen Wu ◽  
Xiao Hong Hao
Keyword(s):  
Time Delay ◽  
Output Feedback ◽  
Networked Control Systems ◽  
Random Time ◽  
Disturbance Attenuation ◽  
Linear Matrix ◽  
Packet Dropout ◽  
Data Packet Dropout ◽  
Disturbance Attenuation Level ◽  
Necessary And Sufficient

This paper studies the H∞ control problem of networked control systems (NCSs) with random time delay and packet dropout, respectively, for the case that system state is unavailable. The output feedback closed-loop NCS is modeled as a discrete-time switched system. A necessary and sufficient condition is derived for the NCSs ' asymptotic stability based on robust stability techniques, under which the system is exponential stability with a desired H-infinity disturbance attenuation level. The designed output feedback based H∞ controller is obtained by solving a set of linear matrix inequalities. The result illustrate that the effectiveness of the proposed control design and the satisfactory performance of the system.

L1 control for Itô stochastic nonlinear networked control systems

2020 ◽  
Vol 42 (14) ◽  
pp. 2675-2685
Author(s):  
Ji Qi ◽  
Yanhui Li
Keyword(s):  
Control Systems ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Networked Control Systems ◽  
Fuzzy Model ◽  
Networked Control ◽  
Linear Matrix ◽  
Packet Dropout ◽  
Data Packet Dropout ◽  
Nonlinear Networked Control Systems

This paper investigates L1 control problem for a class of nonlinear stochastic networked control systems (NCSs) described by Takagi-Sugeno (T-S) fuzzy model. By exploiting a delay-dependent and basis-dependent Lyapunov-Krasovskii function and by means of the Itô stochastic differential equation technique, results on stability and L1 performance are proposed for the T-S fuzzy stochastic NCS. Specially, attention is focused on the fuzzy controller design that guarantees the closed-loop T-S fuzzy stochastic NCS is mean-square asymptotically stable and satisfies a prescribed L1 noise attenuation level [Formula: see text] with respect to all persistent and amplitude-bounded disturbance input signals. To reduce the conservatism of design, the signal transmission delay, data packet dropout, and quantization have been taken into consideration in the controller design. The corresponding design problem of L1 controller is converted into a convex optimization problem by solving a set of linear matrix inequalities (LMIs). Finally, simulation examples are provided to illustrate the feasibility and effectiveness of the proposed method.

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