{"title":"Probabilistic Modeling of Network-induced Delays in Networked Control Systems","authors":"Manoj Kumar, A.K. Verma, A. Srividya","country":null,"institution":"","volume":33,"journal":"International Journal of Computer and Information Engineering","pagesStart":2301,"pagesEnd":2313,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/3560","abstract":"Time varying network induced delays in networked\r\ncontrol systems (NCS) are known for degrading control system-s\r\nquality of performance (QoP) and causing stability problems. In\r\nliterature, a control method employing modeling of communication\r\ndelays as probability distribution, proves to be a better method. This\r\npaper focuses on modeling of network induced delays as probability\r\ndistribution.\r\nCAN and MIL-STD-1553B are extensively used to carry periodic\r\ncontrol and monitoring data in networked control systems.\r\nIn literature, methods to estimate only the worst-case delays for\r\nthese networks are available. In this paper probabilistic network\r\ndelay model for CAN and MIL-STD-1553B networks are given.\r\nA systematic method to estimate values to model parameters from\r\nnetwork parameters is given. A method to predict network delay in\r\nnext cycle based on the present network delay is presented. Effect of\r\nactive network redundancy and redundancy at node level on network\r\ndelay and system response-time is also analyzed.","references":null,"publisher":"World Academy of Science, Engineering and Technology","index":"International Science Index 33, 2009"}