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R. G. Phillips

dblp:186/3339 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1986
—ORCID · none

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

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

Computer networks
1 paper
Network performance modeling · 100%
Artificial intelligence
1 paper
Motion planning and robot control · 100%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Embedded and real-time systems · 70% Performance modeling and evaluation · 30%

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

TopicWeightPapersLastEvidence papers
Network performance modeling
local area network performance
0.011986
Real-time performance evaluation of Local Area Networks used in automated manufacturing systems · ICRA 1986
Robotics › Motion planning and robot control
robot control
0.011985
Performance evaluation of alternative robot controller architectures using a finite-state machine emulator · ICRA 1985
Embedded and real-time systems
manufacturing systems
0.011986
Real-time performance evaluation of Local Area Networks used in automated manufacturing systems · ICRA 1986
Embedded and real-time systems
real-time communication
0.011986
Real-time performance evaluation of Local Area Networks used in automated manufacturing systems · ICRA 1986
Performance modeling and evaluation
simulation
0.011985
Performance evaluation of alternative robot controller architectures using a finite-state machine emulator · ICRA 1985

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

timed concurrent finite state machines · 0.0petri nets · 0.0finite-state machine emulator · 0.0SIMNON · 0.0PID control · 0.0
YearPublicationVenuePosition
1986 Real-time performance evaluation of Local Area Networks used in automated manufacturing systems
abstract
As flexible manufacturing systems (FMS) become a reality, the need for efficient, reliable, yet inexpensive, distributed communications becomes crucial. Local Area Networks (LANs), such as MAP, are rapidly emerging as the logical choice for integrating the process level of the automated factory. What makes the performance analysis and design of these networks unique, is the nature of the traffic being carried. Data traffic used for control must meet stringent real-time requirements, which are unlike the time variations accepted for the time-sharing use of a LAN. In this paper, we use a subclass of Petri nets to model the dynamic performance of the automated factory LAN. This subclass, which can be best described as timed concurrent finite state machines, gives the FMS designer the ability to model the various asynchronous, concurrent control processes and carry out a dynamic performance evaluation.
T. H. Klotz, R. G. Phillips, R. L. Sprattling, H. A. Sutherland
ICRA2
1985 Performance evaluation of alternative robot controller architectures using a finite-state machine emulator
abstract
Design tools are needed to study advanced robot controller architectures. These tools must provide capabilities beyond simulation of linear differential equations used for designing PID controls. Other design parameters, such as interprocess communication delays, computational delays, interprocessor bus structures and operating system services, need to be simulated. In this paper, the use of two simulation tools for modeling the next generation of robot controller architectures is discussed. First, the Hierarchical Control System Emulator (HCSE) is described as a tool for evaluating the performance of robot controller architectures. Second, the commercially available software package, SIMNON, that simulates non-linear differential and difference equations is discussed in its application to modeling robot dynamics.
R. G. Phillips, H. A. Sutherland
ICRA1