State-feedback controller design for disturbance decoupling of Boolean control networks

2017 ◽  
Vol 11 (18) ◽  
pp. 3233-3239 ◽  
Author(s):  
Yunlei Zou ◽  
Jiandong Zhu ◽  
Yurong Liu
Keyword(s):  
State Feedback ◽  
Controller Design ◽  
Feedback Controller ◽  
Control Networks ◽  
State Feedback Controller ◽  
Disturbance Decoupling

Robust PD State Feedback Controller Design for Uncertain Singular Systems

2011 ◽  
Vol 403-408 ◽  
pp. 3813-3818
Author(s):  
Jian Wu Zhu ◽  
Yuan Chun Ding
Keyword(s):  
State Feedback ◽  
Controller Design ◽  
Singular Systems ◽  
Sufficient Conditions ◽  
Feedback Controller ◽  
State Feedback Controller ◽  
Closed Loop Systems ◽  
Uncertain Singular Systems ◽  
Parameter Dependent ◽  
Robust Stability And Stabilization

This paper is concerned with the problem of robust stability and stabilization of singular systems with uncertainties in both the derivative and state matrices. By using a parameter dependent Lyapunov function, we derive the LMI-based sufficient conditions for the stabilization of the singular systems. Secondly, by solving these LMIs, a proportional plus derivative (PD) state feedback controller is designed for the closed-loop systems to be quadratically normal and quadratically stable (QNQS). Finally, the numerical example is given to show the effectiveness of the proposed theorems.

State Feedback Controller Design for CSTR Based on Kalman Filter

2013 ◽  
Vol 404 ◽  
pp. 657-662 ◽  
Author(s):  
Hao Wu ◽  
Ze Biao Shan ◽  
Yao Wu Shi
Keyword(s):  
Kalman Filter ◽  
State Feedback ◽  
Controller Design ◽  
Dynamic Performance ◽  
Chemical Species ◽  
Operating Conditions ◽  
Feedback Controller ◽  
Continuous Stirred Tank Reactor ◽  
State Feedback Controller ◽  
Cstr System

Due to operating conditions and economic factors, it may be either practical or feasible to measuring the chemical species directly in the continuous stirred tank reactor (CSTR) system which is a typical nonlinear, multi-variables, time-varying system. So, a concentration estimate strategy of components based on Kalman filter is proposed, with which the measurement of temperature conversion can be reconstructed. Then the state feedback controller is designed based on the estimated strategy. Simulation results show that the proposed control scheme is efficient and the system contains good dynamic performance.

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