Search Results - "Patwardhan, Sachin C."

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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Experimental Evaluation of Internal Model Control Scheme on a DC–DC Boost Converter Exhibiting Nonminimum Phase Behavior by Kobaku, Tarakanath, Patwardhan, Sachin C., Agarwal, Vivek

“…In this work, an internal model controller (IMC) with two-degree-of-freedom has been implemented as a voltage mode controller for the output voltage regulation…”
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State and parameter estimation using extended Kitanidis Kalman filter by Varshney, Devyani, Bhushan, Mani, Patwardhan, Sachin C.

“…State estimation in presence of unknown parameter variations has received considerable attention in literature. The conventional approach is to model the…”
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An Integrated Frequent RTO and Adaptive Nonlinear MPC Scheme Based on Simultaneous Bayesian State and Parameter Estimation by Valluru, Jayaram, Patwardhan, Sachin C

“…Changes in process parameters and measured/unmeasured disturbances shift the optimal point at which the economic benefits are maximized. Combinations of real…”
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Robust State Estimation and Parameter Estimation for Linear and Nonlinear Direct Feed-through Systems with Correlated Disturbances by Varshney, Devyani, Bhushan, Mani, Patwardhan, Sachin C

“…We propose a generalized parametrized optimal filter (GPOF) for linear stochastic direct feed-through systems with correlated process and measurement…”
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Development of robust extended Kalman filter and moving window estimator for simultaneous state and parameter/disturbance estimation by Valluru, Jayaram, Patwardhan, Sachin C., Biegler, Lorenz T.

“…•Developed extended Kalman filter and moving window estimator that are robust w.r.t. gross errors in measurements.•Use of M-estimators to achieve…”
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Robustly stable adaptive horizon nonlinear model predictive control by Griffith, Devin W., Biegler, Lorenz T., Patwardhan, Sachin C.

“…•Efficient calculation of terminal regions for nonlinear MPC.•Developing an NMPC strategy with adaptive horizon lengths.•Asymptotic stability of the nominal…”
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Robust Trajectory Tracking in a Reactive Batch Distillation Process using Multirate Nonlinear Internal Model Control by Reddy, P. Swapna, Patwardhan, Sachin C, Rani, K. Yamuna

“…Operating a reactive batch distillation (RBD) process in an optimal manner is of paramount importance for improving product quality and profitability in the…”
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Multi-objective optimization of a reactive batch distillation process using reduced order model by Reddy, P. Swapna, Rani, K. Yamuna, Patwardhan, Sachin C.

“…•Reduced order model(ROM)proposed using reference profiles for input state variables.•Performance of ROM evaluated through application to reactive batch…”
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Nonlinear Bayesian state estimation: A review of recent developments by Patwardhan, Sachin C., Narasimhan, Shankar, Jagadeesan, Prakash, Gopaluni, Bhushan, L. Shah, Sirish

“…Online estimation of the internal states is a perquisite for monitoring, control, and fault diagnosis of many engineering processes. A cost effective approach…”
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Development of a Robust Receding-Horizon Nonlinear Kalman Filter Using M‑Estimators by Rangegowda, Pavanraj H, Valluru, Jayaram, Patwardhan, Sachin C, Biegler, Lorenz T, Mukhopadhyay, Siddhartha

“…The majority of Bayesian methods for the state estimation are based on the assumption that the measurements are corrupted only with random errors. In practice,…”
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Development of moving window state and parameter estimators under maximum likelihood and Bayesian frameworks by Valluru, Jayaram, Lakhmani, Piyush, Patwardhan, Sachin C., Biegler, Lorenz T.

“…•Moving window maximum likelihood and maximum a posteriori state and parameter estimators.•Necessary modifications to handle multi-rate and delayed…”
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Improved Set-Point Tracking and Disturbance Rejection of DC-DC Converters Using Voltage-Mode Digital Control by Kobaku, Tarakanath, Rao, Vinayak, Patwardhan, Sachin C., Agarwal, Vivek

“…In this article, a voltage-mode control scheme with two degrees of freedom is developed for improving servo and regulatory responses of a boost-type dc-dc…”
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Constrained particle filter approach to approximate the arrival cost in Moving Horizon Estimation by López-Negrete, Rodrigo, Patwardhan, Sachin C., Biegler, Lorenz T.

“…Moving Horizon Estimation (MHE) is an efficient state estimation method used for nonlinear systems. Since MHE is optimization-based it provides a good…”
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Robust stability of nonlinear model predictive control based on extended Kalman filter by Huang, Rui, Patwardhan, Sachin C., Biegler, Lorenz T.

“…This work deals with state estimation and process control for nonlinear systems, especially when nonlinear model predictive control (NMPC) is integrated with…”
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Fast Offset-Free Nonlinear Model Predictive Control Based on Moving Horizon Estimation by Huang, Rui, Biegler, Lorenz T, Patwardhan, Sachin C

“…To deal with plant−model mismatches in control practice, this paper proposes two variations of an offset-free framework which integrates nonlinear model…”
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Constrained Nonlinear State Estimation Using Ensemble Kalman Filters by Prakash, J, Patwardhan, Sachin C, Shah, Sirish L

“…Recursive estimation of states of constrained nonlinear dynamic systems has attracted the attention of many researchers in recent years. In this work, we…”
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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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Robust stability of nonlinear model predictive control with extended Kalman filter and target setting by Huang, Rui, Patwardhan, Sachin C., Biegler, Lorenz T.

“…SUMMARYThis work deals with the closed‐loop robust stability of nonlinear model predictive control (NMPC) coupled with an extended Kalman filter (EKF). First,…”
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Experimental Study of the Model Predictive Control for a Residential Split Air Conditioner by Bohara, Bharat, Pandey, Brijesh, Pungaliya, Rajat, Patwardhan, Sachin C., Banerjee, Rangan

“…Buildings consume 60% of the total building energy consumption for space heating and cooling purposes, and even more with inefficient and outdated…”
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