ARTICLE TITLE : State estimation and nonlinear predictive control of autonomous hybrid system using derivative free state estimators
Publication year: 2010
Source: Journal of Process Control, In Press, Corrected Proof, Available online 26 May 2010</br>
J., Prakash , Sachin C., Patwardhan , Sirish L., Shah</br>
In this work, we develop a state estimation scheme for nonlinear autonomous hybrid systems, which are subjected to stochastic state disturbances and measurement noise, using derivative free state estimators. In particular, we propose the use of ensemble Kalman filters (EnKF), which belong to the class of particle filters, and unscented Kalman filters (UKF) to carry out estimation of state variables of autonomous hybrid system. We then proceed to develop novel nonlinear model predictive control (NMPC) schemes using these derivative free estimators for better control of autonomous hybrid systems. A salient feature of the proposed NMPC schemes is that the future...</br>


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