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Kirsten Morris 0001

dblp:70/5041 · also Kirsten A. Morris · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1998
0000-0003-1311-9230ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Motion planning and robot control · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
hysteresis compensation
0.021998
Preisach Model Identification of a Two-Wire SMA Actuator · ICRA 1998
Stability of control for the Preisach hysteresis model · ICRA 1997
Robotics › Motion planning and robot control › robot control
actuator control
0.011997
Stability of control for the Preisach hysteresis model · ICRA 1997
Robotics › Motion planning and robot control › robot control › feedback control
velocity feedback control
0.011997
Stability of control for the Preisach hysteresis model · ICRA 1997
Robotics › Motion planning and robot control › robot control
passivity-based control
0.011998
Preisach Model Identification of a Two-Wire SMA Actuator · ICRA 1998

Methods — techniques the papers use, named apart from their topics

system identification · 0.0passivity analysis · 0.0
YearPublicationVenuePosition
1998 Preisach Model Identification of a Two-Wire SMA Actuator
abstract
In recent years, the Preisach hysteresis model (1935) has emerged as the model of choice for the behaviour of many smart materials, such as shape memory alloys (SMA). This research treats the identification of Preisach models for a differential SMA actuator. The traditional identification technique is applied, and several models are derived for the actuator. It is seen that the classical Preisach model is able to model its behaviour. However, the results raise questions concerning the robustness of the traditional identification technique, as well as the conservative nature of current passivity-based control results for the Preisach model.
Robert B. Gorbet, David Wang 0001, Kirsten Morris 0001
ICRA3
1997 Stability of control for the Preisach hysteresis model
abstract
The motivation for this research arises from interest in actuators made from "smart materials" such as shape memory alloys and piezoceramics. One common characteristic among these new materials is that they exhibit complex hysteresis nonlinearities. The input-output nature of the Preisach model of hysteresis results in a simple model for which identification strategies are known, and implementation is straightforward both in simulation and real-time control. This paper examines the passivity of the Preisach model, and the stability of velocity feedback control for hysteretic actuators.
Robert B. Gorbet, Kirsten Morris 0001, David Wang 0001
ICRA2