scholarly journals Uncertain Hybrid Multi-Sensor Alliance Dynamic Control Problem Using an Uncertain Ideal Point Approach Under the PEV Principle

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 169385-169395
Author(s):  
Jiahao Xie ◽  
Shucai Huang ◽  
Daozhi Wei
Keyword(s):  
Control Problem ◽  
Dynamic Control ◽  
Ideal Point

The Mathematics of Coordinated Control of Prosthetic Arms and Manipulators

1972 ◽  
Vol 94 (4) ◽  
pp. 303-309 ◽  
Author(s):  
D. E. Whitney
Keyword(s):  
Control Problem ◽  
Rate Control ◽  
Position Control ◽  
Dynamic Control ◽  
Mathematical Formulation ◽  
Coordinated Control ◽  
Computer Assisted ◽  
Final Position ◽  
Coordinate Systems ◽  
Joint Angles

The problems of coordinated rate control and position control of multidegree-of-freedom arms are treated together in this paper. A mathematical formulation is presented which allows real time computer-assisted rate control under a variety of external coordinate systems. A new solution to the endpoint position control problem is given, allowing the arm to be driven to a final position specified in meaningful external coordinates without the corresponding final joint angles being known. Attention is given to redundant arms, to the possibility of singularities, and to the relation between this work and dynamic control of arms.

Dynamic Scheduling of a Four-Station Queueing Network

1990 ◽  
Vol 4 (1) ◽  
pp. 131-156 ◽  
Author(s):  
C. N. Laws ◽  
G. M. Louth
Keyword(s):  
Control Problem ◽  
Dynamic Scheduling ◽  
Dynamic Control ◽  
Queueing Network ◽  
Single Server ◽  
Scheduling Policies ◽  
Resource Pooling ◽  
Static Scheduling ◽  
Open Queueing Network ◽  
Dynamic Policy

This paper is concerned with the problem of optimally scheduling a multiclass open queueing network with four single-server stations in which dynamic control policies are permitted. Under the assumption that the system is heavily loaded, the original scheduling problem can be approximated by a dynamic control problem involving Brownian motion. We reformulate and solve this problem and, from the interpretation of the solution, we obtain two dynamic scheduling policies for our queueing network. We compare the performance of these policies with two static scheduling policies and a lower bound via simulation. Our results suggest that under either dynamic policy the system, at least when heavily loaded, exhibits the form of resource pooling given by the solution to the approximating control problem. Furthermore, even when lightly loaded the system performs better under the dynamic policies than under either static policy.

Labor Assignment as a Dynamic Control Problem

1966 ◽  
Vol 14 (3) ◽  
pp. 369-376 ◽  
Author(s):  
Rosser T. Nelson
Keyword(s):  
Control Problem ◽  
Dynamic Control

Addressing state space multicollinearity in solving an ozone pollution dynamic control problem

2021 ◽  
Vol 289 (2) ◽  
pp. 683-695
Author(s):  
Bancha Ariyajunya ◽  
Ying Chen ◽  
Victoria C.P. Chen ◽  
Seoung Bum Kim ◽  
Jay Rosenberger
Keyword(s):  
Control Problem ◽  
State Space ◽  
Dynamic Control ◽  
Ozone Pollution

scholarly journals Infinity Period Dynamic Control of a Kind of Channel’s Price and Brand Investment: A Differential Game Method

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Kaihong Wang ◽  
Li Cheng ◽  
Chuan Ding
Keyword(s):  
Control Problem ◽  
Differential Game ◽  
Dynamic Optimization ◽  
Stackelberg Game ◽  
Dynamic Control ◽  
Distribution Channel ◽  
Optimization Theory ◽  
Retail Price ◽  
Hamilton Function ◽  
Static Game

The infinity period dynamic control problem of distribution channel was studied with differential game approach. Four differential dynamic control models of coordinated channel game, uncoordinated static game, Stackelberg game with manufacture controlled, and Stackelberg game withnretailers controlled were constructed. Some results applied dynamic optimization theory made with Hamilton function. The conclusions are as follows. (1) Optimization brand investment controlled by manufacture has nothing to do with time. (2) Retail price was the most minimum when channel was integrated. (3) Manufacture’s profits of uncoordinated static game and Stackelberg game with manufacture controlled were more than Stackelberg game withnretailers controlled. (4) Retailer’s profits of Stackelberg game withnretailers controlled were less than Stackelberg game with manufacture controlled. (5) Channel’s total profits of Stackelberg game withnretailers controlled were the most minimum.

Modeling Self-Determination Theory Motivation Data by Using Unfolding IRT

2020 ◽  
pp. 1-9
Author(s):  
Philipp A. Freund ◽  
Annette Lohbeck
Keyword(s):  
Ideal Point ◽  
Self Determination Theory ◽  
Self Determination ◽  
Dominance Model ◽  
Irt Model ◽  
Autonomous Behavior ◽  
Location Parameters ◽  
Unfolding Models ◽  
Using Data ◽  
Item Location

Abstract. Self-determination theory (SDT) suggests that the degree of autonomous behavior regulation is a characteristic of distinct motivation types which thus can be ordered on the so-called Autonomy-Control Continuum (ACC). The present study employs an item response theory (IRT) model under the ideal point response/unfolding paradigm in order to model the response process to SDT motivation items in theoretical accordance with the ACC. Using data from two independent student samples (measuring SDT motivation for the academic subjects of Mathematics and German as a native language), it was found that an unfolding model exhibited a relatively better fit compared to a dominance model. The item location parameters under the unfolding paradigm showed clusters of items representing the different regulation types on the ACC to be (almost perfectly) empirically separable, as suggested by SDT. Besides theoretical implications, perspectives for the application of ideal point response/unfolding models in the development of measures for non-cognitive constructs are addressed.

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