5 papers
Causal, Stochastic MPC for Wave Energy Converters
Connor H. Ligeikis, Jeffrey T. Scruggs
We implement a causal model predictive control (MPC) strategy to maximize power generation from a wave energy converter (WEC) system, for which the power take-off (PTO) systems hav…
Multi-Objective Vector Control of a Three-Phase Vibratory Energy Harvester
Connor H. Ligeikis, Jeffrey T. Scruggs
In vibration energy harvesting technologies, feedback control is required to maximize the average power generated from stochastic disturbances. In large-scale applications it is of…
On the Feasibility of Self-Powered Linear Feedback Control
Connor H. Ligeikis, Jeffrey T. Scruggs
A control system is called self-powered if the only energy it requires for operation is that which it absorbs from the plant. For a linear feedback law to be feasible for a self-po…
Effects of Correlated Noise on the Performance of Persistence Based Dynamic State Detection Methods
Joshua Tempelman, Audun Myers, Jeffrey Scruggs +1
The ability to characterize the state of dynamic systems has been a pertinent task in the time series analysis community. Traditional measures such as Lyapunov exponents are often…
Stochastic Subspace Identification: Valid Model, Asymptotics and Model Error Bounds
Quan Li, Jeffrey T. Scruggs
This paper investigates the ability of the stochastic subspace identification technique to return a valid model from finite measurement data, its asymptotic properties as the data…