The signal-flow diagram of the oculomotor control system, — and its transferability to the more intricate skeletomotor control system

1977 ◽  
Vol 25 (4) ◽  
pp. 205-208
Author(s):  
P. Lässig
Keyword(s):  
Control System ◽  
Flow Diagram ◽  
Oculomotor Control ◽  
Signal Flow

Identifying Services in Procedural Programs for Migrating Legacy System to Service Oriented Architecture

2013 ◽  
pp. 237-255
Author(s):  
Masahide Nakamur ◽  
Hiroshi Igaki ◽  
Takahiro Kimura ◽  
Kenichi Matsumoto
Keyword(s):  
Control System ◽  
Service Oriented Architecture ◽  
Data Flow ◽  
Source Code ◽  
Flow Diagram ◽  
Service Oriented ◽  
Data Flow Diagram ◽  
And Control ◽  
Dependent Processes

In order to support legacy migration to the service-oriented architecture (SOA), this paper presents a pragmatic method that derives candidates of services from procedural programs. In the SOA, every service is supposed to be a process (procedure) with (1) open interface, (2) self-containedness, and (3) coarse granularity for business. Such services are identified from the source code and its data flow diagram (DFD), by analyzing data and control dependencies among processes. Specifically, first the DFD must be obtained with reverse-engineering techniques. For each layer of the DFD, every data flow is classified into three categories. Using the data category and control among procedures, four types of dependency are categorized. Finally, six rules are applied that aggregate mutually dependent processes and extract them as a service. A case study with a liquor shop inventory control system extracts service candidates with various granularities.

A neurological integrator for the oculomotor control system

1976 ◽  
Vol 30 (3-4) ◽  
pp. 341-352 ◽  
Author(s):  
B.Yeshwant Kamath ◽  
Edward L. Keller
Keyword(s):  
Control System ◽  
Oculomotor Control

Symbolic Array Programming for Control System Analysis by Digital Computer

1968 ◽  
Vol 1 (6) ◽  
pp. 226-230 ◽  
Author(s):  
F. L. N-Nagy ◽  
O. Bar
Keyword(s):  
Control System ◽  
Control Systems ◽  
Digital Computer ◽  
System Analysis ◽  
Flow Diagram ◽  
Control Engineering ◽  
Loop Control ◽  
Novel Approach ◽  
Main Programme ◽  
Computational Form

A novel approach is provided for the analysis of multi-loop control systems by a digital computer introducing operational arrays, in which all the instructions are given through the data input. Changing parameters for optimisation purposes or the introducing of additional networks becomes a matter of changing the operational array in the data, leaving the main programme untouched. Although the method is general, only the frequency response of a control system is considered, but at the same time the way has been left open to expand the method as experience reveals the need for further facilities, i.e. root locus, time response, etc. The programme has been written in Algol, but the basic flow diagram can be easily converted into any other language. Whatever the language is, the programme provides the necessary software design facilities translated into control engineering terms in a readily usable computational form.

The Double Step Analysis of Rapid Manual Aiming Movements

1988 ◽  
Vol 40 (2) ◽  
pp. 299-322 ◽  
Author(s):  
Nicholas C. Barrett ◽  
Denis J. Glencross
Keyword(s):  
Control System ◽  
Initial Response ◽  
Response Amplitude ◽  
Step Response ◽  
Oculomotor Control ◽  
Second Step ◽  
Double Step ◽  
Home Base ◽  
Transition Functions ◽  
Corrective Response

The present paper examines the control principles underlying rapid manual tracking responses to horizontal double-step stimuli. The paper reports an experiment concerned with responses made to step-stimuli presented in quick succession. The amplitude of the second-step was varied between the initial step-position and the home-base. Double-step response parameters were analysed as a function of the determinant time interval (D) between the second step and the onset of the initial response. The initial response amplitude was observed to vary as a function of D. Amplitude transition functions were constructed representing the transition of the initial response amplitude between the two step positions; their slopes, furthermore, depended on the amplitude of the second target step. No delays in the initial reaction time with the interstimulus interval were observed. Minor delays to the onset of a corrective response were observed. These delays were in part related to a movement time constraint that is independent of any limitations in central processing capacity. The present findings for the manual control system are compared to double-step tracking analyses of the oculomotor control system.

Experimental Set-up for Clinical Investigation of the Oculomotor Control System

1978 ◽  
Vol 23 (s1) ◽  
pp. 286-287
Author(s):  
R. Schmid ◽  
R. Lombardi ◽  
D. Zambarbieri ◽  
A. Buizza
Keyword(s):  
Control System ◽  
Clinical Investigation ◽  
Oculomotor Control ◽  
Set Up

Kinematics, Dynamics, and Control of Tendon-Driven Mechanisms Using Signal Flow Graphs

1998 ◽  
Author(s):  
Meng-Sang Chew ◽  
Theeraphong Wongratanaphisan
Keyword(s):  
Control System ◽  
Transfer Function ◽  
Closed Loop ◽  
Transfer Functions ◽  
Signal Flow ◽  
Signal Flow Graphs ◽  
Loop Transfer Function ◽  
Dynamics And Control ◽  
Flow Graphs ◽  
And Control

Abstract This paper presents the analysis of the kinematics, dynamics and controls of tendon-driven mechanism under the framework of signal flow graphs. For decades, the signal flow graphs have been applied in many areas, particularly in controls, for determining the closed-loop transfer function of a control system. The tendon-driven mechanism considered here consists of several subsystems including actuator-controller dynamics, mechanism kinematics and mechanism dynamics. Each subsystem will be derived and represented by signal flow graphs. The representation of the whole system can be carried out by connecting the graphs of subsystems at the corresponding nodes. Transfer functions can then be obtained by using Mason’s rules. A 3-DOF robot finger utilizing tendon-driven mechanism is used as an illustrative example.

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