Search Results - "Bavdekar, Vinay A."

Identification of process and measurement noise covariance for state and parameter estimation using extended Kalman filter by Bavdekar, Vinay A., Deshpande, Anjali P., Patwardhan, Sachin C.

“…The performance of Bayesian state estimators, such as the extended Kalman filter (EKF), is dependent on the accurate characterisation of the uncertainties in…”
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Maximum likelihood estimation of noise covariance matrices for state estimation of autonomous hybrid systems by Bavdekar, Vinay A., Nandola, Naresh N., Patwardhan, Sachin C.

“…•An MLE based approach for estimation of noise covariance matrices from data.•Efficacy of proposed scheme shown via simulation and experimental studies.•Using…”
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A Moving Window Formulation for Recursive Bayesian State Estimation of Systems with Irregularly Sampled and Variable Delays in Measurements by Bavdekar, Vinay A, Prakash, Jagadeesan, Patwardhan, Sachin C, Shah, Sirish L

“…The time delay involved between sampling and obtaining measurements of certain quality variables is a common scenario in various process applications. Further,…”
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Computing point estimates from a non-Gaussian posterior distribution using a probabilistic k-means clustering approach by Bavdekar, Vinay A., Shah, Sirish L.

“…•Through simulations, we have demonstrated how different criteria of computing a point estimate lead to different results. The different criteria are listed in…”
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A polynomial chaos-based nonlinear Bayesian approach for estimating state and parameter probability distribution functions by Bavdekar, Vinay A., Mesbah, Ali

“…Various systems engineering and control applications require the knowledge of the complete probability distribution function (pdf) of system states and…”
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Development of grey box state estimators for systems subjected to time correlated unmeasured disturbances by Bavdekar, Vinay A., Patwardhan, Sachin C.

“…Unmeasured disturbances, which arise from uncertainties in the physical input sources, are commonly encountered in a process operation. For the purpose of…”
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Stochastic predictive control with adaptive model maintenance by Bavdekar, Vinay A., Ehlinger, Victoria, Gidon, Dogan, Mesbah, Ali

“…The closed-loop performance of model-based controllers often degrades over time due to increased model uncertainty. Some form of model maintenance must be…”
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Constrained dual ensemble Kalman filter for state and parameter estimation by Bavdekar, Vinay A., Prakash, J., Shah, Sirish L., Gopaluni, R. Bhushan

“…The performance of a state estimator is dependent on the accuracy of the process model used. Since processes undergo various changes as time progresses, it is…”
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