1 citations · 3 across the 10 of their papers we have counts for
10 papers
Adaptive Target Tracking Using Retrospective Cost Input Estimation
Shashank Verma, Sneha Sanjeevini, E. Dogan Sumer +1
Target tracking of surrounding vehicles is essential for collision avoidance in autonomous vehicles. Our approach to target tracking is based on causal numerical differentiation on…
Adaptive Kalman Filtering Developed from Recursive Least Squares Forgetting Algorithms
Brian Lai, Dennis S. Bernstein
Recursive least squares (RLS) is derived as the recursive minimizer of the least-squares cost function. Moreover, it is well known that RLS is a special case of the Kalman filter.…
Convergence of Recursive Least Squares Based Input/Output System Identification with Model Order Mismatch
Brian Lai, Dennis S. Bernstein
Discrete-time input/output models, also called infinite impulse response (IIR) models or autoregressive moving average (ARMA) models, are useful for online identification as they c…
SIFt-RLS: Subspace of Information Forgetting Recursive Least Squares
Brian Lai, Dennis S. Bernstein
This paper presents subspace of information forgetting recursive least squares (SIFt-RLS), a directional forgetting algorithm which, at each step, forgets only in row space of the…
A Data-Driven Autopilot for Fixed-Wing Aircraft Based on Model Predictive Control
Riley J. Richards, Juan A. Paredes, Dennis S. Bernstein
Autopilots for fixed-wing aircraft are typically designed based on linearized aerodynamic models consisting of stability and control derivatives obtained from wind-tunnel testing.…
Experimental Application of Predictive Cost Adaptive Control to Thermoacoustic Oscillations in a Rijke Tube
Juan A. Paredes, Dennis S. Bernstein
Model predictive control (MPC) has been used successfully in diverse applications. As its name suggests, MPC requires a model for predictive optimization. The present paper focuses…