Distributed control of plant-wide chemical processes with uncertain time-delays

2012 ◽  
Vol 84 ◽  
pp. 512-532 ◽  
Author(s):  
Shichao Xu ◽  
Jie Bao
Keyword(s):  
Distributed Control ◽  
Time Delays ◽  
Chemical Processes ◽  
Uncertain Time

Stability of stochastic systems with uncertain time delays

1995 ◽  
Vol 24 (1) ◽  
pp. 41-47 ◽  
Author(s):  
Erik I Verriest ◽  
Patrick Florchinger
Keyword(s):  
Time Delays ◽  
Stochastic Systems ◽  
Uncertain Time

Mixed Sensitivity Design of PID Controller-Applied to a Ball and Beam System

2017 ◽  
Author(s):  
Tooran Emami
Keyword(s):  
Pid Controller ◽  
Time Delays ◽  
Uncertainty Modeling ◽  
Pid Controllers ◽  
Perturbed System ◽  
Beam System ◽  
Communication Time ◽  
Uncertain Time ◽  
System Transfer Function ◽  
Ball And Beam System

This paper presents a set of algorithm for all achievable coefficients of Proportional Integral Derivative (PID) controllers that stabilize the system and satisfy a mixed sensitivity constraint with an uncertain time delay. Additive uncertainty modeling is used to describe the uncertainty of perturbed system. Additive uncertainty modeling performs much faster response with the time running of computer programming in MATLAB. This technique is applied to a ball and beam system transfer function with the assumption of uncertain communication time delays in the system process. The goal of this application is to regulate a ball position on a beam and also satisfy the mixed sensitivity constraint.

Distributed control of plantwide chemical processes

2009 ◽  
Vol 19 (10) ◽  
pp. 1671-1687 ◽  
Author(s):  
Shichao Xu ◽  
Jie Bao
Keyword(s):  
Distributed Control ◽  
Chemical Processes

scholarly journals Distributed Control for Multiagent Consensus Motions with Nonuniform Time Delays

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Mengji Shi ◽  
Kaiyu Qin
Keyword(s):  
Distributed Control ◽  
Time Delays ◽  
Original System ◽  
Complex Numbers ◽  
Control Problems ◽  
Rectilinear Motion ◽  
State Variables ◽  
Real Numbers ◽  
Numerical Examples ◽  
Delay Margin

This paper solves control problems of agents achieving consensus motions in presence of nonuniform time delays by obtaining the maximal tolerable delay value. Two types of consensus motions are considered: the rectilinear motion and the rotational motion. Unlike former results, this paper has remarkably reduced conservativeness of the consensus conditions provided in such form: for each system, if all the nonuniform time delays are bounded by the maximal tolerable delay value which is referred to as “delay margin,” the system will achieve consensus motion; otherwise, if all the delays exceed the delay margin, the system will be unstable. When discussing the system which is intended to achieve rotational consensus motion, an expanded system whose state variables are real numbers (those of the original system are complex numbers) is introduced, and corresponding consensus condition is given also in the form of delay margin. Numerical examples are provided to illustrate the results.

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