The fault-tolerant control problem of a hydraulic servo actuator in the presence of actuator
faults is studied utilizing adaptive dynamic programming. This task is challenging because of …

Hydraulic servo actuators (HSAs) are often used in the industry in tasks that request great
power, high accuracy and dynamic motion. It is well known that an HSA is a highly complex …

The hydraulic servo actuators (HSA) are often used in the industry in tasks that request great
powers, high accuracy and dynamic motion. It is well known that HSA is a highly complex …

We propose an algorithm to actively estimate the parameters of a linear dynamical system.
Given complete control over the system's input, our algorithm adaptively chooses the inputs …

The identification of ARX models with constrained output variance in the presence of non-
Gaussian distribution of measurements is proposed in this paper. In the presence of non …

Optimal input design for system identification is an area of intensive modern research. This
paper considers the identification of output error (OE) model, for the case of constrained …

Model-free control strategies such as reinforcement learning have shown the ability to learn
control strategies without requiring an accurate model or simulator of the world. While this is …

Model-based control design plays a key role in today's industrial practice, and industry
demands cuttingedge methods for identifying the necessary models. However, additional …

Exploration in unknown environments is a fundamental problem in reinforcement learning
and control. In this work, we study task-guided exploration and determine what precisely an …

The successful application of impedance spectroscopy in daily practice requires accurate
measurements for modeling complex physiological or electrochemical phenomena in a …