The system considered in this article operates with a feedback that is characterized by a gain and a desired final state (DFS), which is the main parameter of interest in this article. The system is, however, subjected intermittently to stochastic inputs according to a Markov process. Since the system operates in two modes—under the feedback to the DFS and under a stochastic input—an interacting multiple model estimator is designed to handle the unknown DFS to be estimated (mode $M_{1}$) and the random inputs (mode $M_{2}$). Simulation results explore several scenarios and investigate the degree of observability of this stochastic problem


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    Title :

    Estimation for a Feedback System With a Desired Final State and Intermittent Stochastic Inputs


    Contributors:


    Publication date :

    2022-12-01


    Size :

    3864606 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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