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@article{145968,
        author = {s.bramhareddy and s.sajida},
        title = {Event-based error finding filtering for compound Networked Jump Systems},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {11},
        pages = {845-848},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145968},
        abstract = {In modern industrial processes, fault occurrence unfortunately cannot be completely avoided in practical systems. Nowadays, a variety of fault detection filtering approaches have been developed. Moreover, the problem of sensor failures is inevitable in real-world control systems due to harsh working environment, power supply instability, unavailable component aging and so on. On the other hand, it should be pointed out that unexpected abrupt variations widely happen in practical utilizations, such as networked control systems, economic systems and manufacturing systems. A great many reasons contribute to it including sudden environmental disturbance, repairs or failures of interconnected components and modifications in the operating points. In terms of this situation, Markov process or Markov chain is introduced to model practical plants by researchers, which has attracts a great deal of efforts. In Proposed System, fault detection filtering for complex systems over communication networks subject to non homogeneous Markovian parameters. A residual signal is generated which gives a satisfactory estimation of the fault and an event-triggered scheme is proposed to determine whether the networks should be updated at the trigger instants decided by the eventthreshold. Moreover, a random process is employed to model the phenomenon of malicious packet losses. Consequently, a novel method is presented to address the stochastically stability analysis and satisfies a given H2 performance index simultaneously. The condition of the existence of the filter design algorithm is derived by a convex optimization approach to estimate the faults and to generate a residual. Finally, the proposed fault detection filtering method is then applied to an industrial non isothermal continuous stirred tank reactor under realistic network conditions. Simulation results are given to show the effectiveness of the proposed design method and the designed filter.},
        keywords = {Networked control systems, fault detection, filtering, event-triggered},
        month = {},
        }