Authors: S. Seshadhri, R. Ayyagari
Addresses: Department of Instrumentation and Control Engineering, National Institute of Technology Tiruchirappalli (NITT), Tiruchirappalli, Tamil Nadu, India. ' Department of Instrumentation and Control Engineering, National Institute of Technology Tiruchirappalli (NITT), Tiruchirappalli, Tamil Nadu, India
Abstract: In this paper, we propose an algorithm for the design of a dynamic state feedback controller for a Network Control System (NCS). Random communication delays in an NCS make the problem challenging, thereby necessitating a stochastic framework for the problem. Recently, the Markov Chain Monte Carlo (MCMC) method is gaining popularity as a powerful means for generating random samples. We employ this technique to estimate the delay in the communication channel and then update the model of the NCS for the next sampling instance. Using this model, we design a dynamic state feedback controller to meet certain design specifications.
Keywords: network control systems; random network delay; state feedback control; Markov Chain Monte Carlo method; MCMC; Metropolis-Hastings algorithm; dynamic control; controller design; random communication delays; modelling.
International Journal of Systems, Control and Communications, 2011 Vol.3 No.2, pp.178 - 193
Published online: 22 Apr 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article