The accuracy of state of health (SOH) estimation function in battery management systems is
an essential factor for ensuring the safety and reliability of battery systems in electric aircraft …

A recursive least squares algorithm with variable rate forgetting (VRF) is derived by
minimizing a quadratic cost function. Under persistent excitation, the minimizer given by VRF …

The ability to estimate parameters depends on two things: identifiability [1](which is the
ability to distinguish distinct parameters) and persistent excitation (which refers to the …

This work presents generalized forgetting recursive least squares (GF-RLS), a
generalization of recursive least squares (RLS) that encompasses many extensions of RLS …

Shortening product lifecycles and increasing customer demands are forcing manufacturers
to increase the efficiency and effectiveness of their product development process to stay …

Among the multitude of modern control methods, model predictive control (MPC) is one of
the most successful–. As noted in “Summary,” this success is largely due to the ability of …

Unlike fixed-gain robust control, which trades off performance with modeling uncertainty,
direct adaptive control uses partial modeling information for online tuning. The present …

Thermoacoustic systems are self-oscillating due to the fact that a constant input (eg, fuel rate
in gas-turbine combustors) yields an asymptotically oscillatory response. This behavior …

We present two extensions of recursive least squares (RLS) with exponential forgetting (EF),
namely, exponential resetting (ER) RLS and cyclic resetting (CR) RLS. Both methods …

This article develops a novel online adaptive dynamic programming algorithm with
adjustable convergence rate to address the optimal control problem of nonlinear systems …