Stabilizing Gain Selection of Networked Variable Gain Controller to Maximize Robustness Using Particle Swarm Optimization

Details Stabilizing Gain Selection of Networked Variable Gain Controller to Maximize Robustness Using Particle Swarm Optimization Stabilizing Gain Selection of Networked Variable Gain Controller to Maximize Robustness Using Particle Swarm Optimization

2012-02-25

arxiv.org/abs/1202.5688v1

Proceedings of 2011 International Conference on Process Automation, Control and Computing, PACC 2011, art. no. 5978958, July 2

Mathematics

Optimization and Control

6 pages, 6 figures

Scientific paper

10.1109/PACC.2011.5978958

Networked Control Systems (NCSs) are often associated with problems like random data losses which might lead to system instability. This paper proposes a method based on the use of variable controller gains to achieve maximum parametric robustness of the plant controlled over a network. Stability using variable controller gains under data loss conditions is analyzed using a suitable Linear Matrix Inequality (LMI) formulation. Also, a Particle Swarm Optimization (PSO) based technique is used to maximize parametric robustness of the plant.

Affiliated with

Also associated with

No associations

Rating

Stabilizing Gain Selection of Networked Variable Gain Controller to Maximize Robustness Using Particle Swarm Optimization does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Stabilizing Gain Selection of Networked Variable Gain Controller to Maximize Robustness Using Particle Swarm Optimization, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Stabilizing Gain Selection of Networked Variable Gain Controller to Maximize Robustness Using Particle Swarm Optimization will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-291553