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Jacob S. Glower

dblp:129/7963 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1997
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 1 · 1 first-author

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
1 paper
Legged, aerial and field robots · 50% Motion planning and robot control · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion
0.011986
Control of a quadruped trot · ICRA 1986
Robotics › Motion planning and robot control › robot control › motion control
momentum control
0.011986
Control of a quadruped trot · ICRA 1986

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

control law design · 0.0
YearPublicationVenuePosition
1997 Designing fuzzy controllers from a variable structures standpoint
abstract
A procedure is presented for designing fuzzy controllers based upon variable structures techniques. Three such controllers are presented: the fuzzy equivalents of sliding-mode controllers, saturating controllers, and tanh controllers. By using an approach based upon variables structures (VSS) techniques, the stability of each of these controllers is assured. By using a sliding surface, the order of the rule base is reduced to size r/spl times/m, where r is the number of inputs and m is the number of fuzzification levels. This combination makes the proposed design procedure able to generate simple controllers with guaranteed stability properties. To illustrate the proposed design procedure, fuzzy controllers are designed for a ball-and-beam system. It is demonstrated that in spite of this system being a fourth-order unstable system, the proposed design procedure results in simple stable fuzzy controllers.
Jacob S. Glower, Jeffrey Munighan
IEEE Trans. Fuzzy Syst.1
1986 Control of a quadruped trot
abstract
A simple control law is proposed to maintain the movement of a trotting quadruped. The assumption behind this control law is that one should be able to rely upon the quadruped's momentum for stability. The control law should only serve to redirect or maintain the quadruped's momentum. The result is a control law that works well so long as the quadruped is moving.
Jacob S. Glower, Ümit Özgüner
ICRA1