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


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The system considered in this talk operates with 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 M1) and the random inputs (mode M2). Simulation results explore several scenarios and investigate the degree of observability