6533b7dcfe1ef96bd127347a
RESEARCH PRODUCT
Discrete Learning Control with Application to Hydraulic Actuators
Michael Rygaard HansenTorben Ole AndersenHenrik C. Pedersensubject
Control algorithmComputer scienceElectro-hydraulic actuatorlcsh:QA75.5-76.95Computer Science Applicationslaw.inventionControl and Systems EngineeringlawControl theoryRobustness (computer science)Modeling and SimulationInitial value problemDiscrete learning controllcsh:Electronic computers. Computer scienceActuatorSoftwareHydraulic actuatorsdescription
In this paper the robustness of a class of learning control algorithms to state disturbances, output noise, and errors in initial conditions is studied. We present a simple learning algorithm and exhibit, via a concise proof, bounds on the asymptotic trajectory errors for the learned input and the corresponding state and output trajectories. Furthermore, these bounds are continuous functions of the bounds on the initial condition errors, state disturbance, and output noise, and the bounds are zero in the absence of these disturbances.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2015-10-01 | Modeling, Identification and Control |