An Anti-faithfulness Constraint Approach to Truncation and Augmentation in Lardil

2014 ◽  
Vol null (32) ◽  
pp. 43-62
Author(s):  
김진두
Keyword(s):  
Constraint Approach ◽  
Faithfulness Constraint

Effect of Social Norm on Consumer Demand: Multiple Constraint Approach

2020 ◽  
Vol 22 (1) ◽  
pp. 41-60
Author(s):  
Sungjee Choi ◽  
Inwoo Nam ◽  
Jaehwan Kim
Keyword(s):  
Social Norm ◽  
Consumer Demand ◽  
Multiple Constraint ◽  
Constraint Approach

A hierarchical constraint approach for dynamic modeling and trajectory tracking control of a mobile robot

2021 ◽  
pp. 107754632199918
Author(s):  
Rongrong Yu ◽  
Shuhui Ding ◽  
Heqiang Tian ◽  
Ye-Hwa Chen
Keyword(s):  
Mobile Robot ◽  
Dynamic Modeling ◽  
Trajectory Tracking ◽  
Tracking Control ◽  
Wheeled Mobile Robot ◽  
Structural Constraints ◽  
Control Force ◽  
Trajectory Tracking Control ◽  
Motion Constraints ◽  
Constraint Approach

The dynamic modeling and trajectory tracking control of a mobile robot is handled by a hierarchical constraint approach in this study. When the wheeled mobile robot with complex generalized coordinates has structural constraints and motion constraints, the number of constraints is large and the properties of them are different. Therefore, it is difficult to get the dynamic model and trajectory tracking control force of the wheeled mobile robot at the same time. To solve the aforementioned problem, a creative hierarchical constraint approach based on the Udwadia–Kalaba theory is proposed. In this approach, constraints are classified into two levels, structural constraints are the first level and motion constraints are the second level. In the second level constraint, arbitrary initial conditions may cause the trajectory to diverge. Thus, we propose the asymptotic convergence criterion to deal with it. Then, the analytical dynamic equation and trajectory tracking control force of the wheeled mobile robot can be obtained simultaneously. To verify the effectiveness and accuracy of this methodology, a numerical simulation of a three-wheeled mobile robot is carried out.

Truncation in message-oriented phonology: a case study using Korean vocative truncation

2018 ◽  
Vol 4 (s2) ◽  
Author(s):  
Shigeto Kawahara ◽  
Seunghun J. Lee
Keyword(s):  
Optimality Theory ◽  
Effective Communication ◽  
European Language ◽  
Sound Patterns ◽  
Faithfulness Constraint

AbstractThis paper analyzes the vocative truncation pattern in Korean from the viewpoint of Message-Oriented Phonology (MOP), which capitalizes on the idea that sound patterns are governed by a principle that makes message transfer effective. In the traditional naming pattern, Korean first names consist of a generation marker and a unique portion, and the order between these two elements alternates between generations. To derive vocative forms, the generation marker is truncated, and the suffixal [(j)a] is attached to the unique portion. We argue that MOP naturally predicts this type of truncation. As the generation marker is shared by all the members of the same generation, the generation marker is highly predictable and hence does not reduce uncertainty about the intended message. To achieve effective communication, predictable portions are deleted. Our analysis implies that MOP is relevant not only to phonetic implementation patterns, but also to morphophonological patterns. It also provides support for MOP based on data from a non-Indo-European language. Finally, we aim to integrate insights of MOP with a more formal proposal like Optimality Theory, by relating the predictability of a contrast to the ranking of the faithfulness constraint that it protects, following the spirit of the P-map hypothesis.

scholarly journals Stochastic Non-Pharmaceutical Optimal Control Strategies to Mitigate COVID-19

2021 ◽  
Author(s):  
Paolo Scarabaggio ◽  
Raffaele Carli ◽  
Graziana Cavone ◽  
Nicola Epicoco ◽  
Mariagrazia Dotoli
Keyword(s):  
Control Strategies ◽  
Optimal Strategies ◽  
Real Data ◽  
Chance Constraint ◽  
Control Actions ◽  
Regional Strategies ◽  
Italian Regions ◽  
Predictive Controller ◽  
Definition Of ◽  
Constraint Approach

This paper proposes a stochastic non-linear model predictive controller to support policy-makers in determining robust optimal strategies to tackle the COVID-19 secondary waves. First, a time-varying <i>SIRCQTHE </i>epidemiological model (considering Susceptible, Infected, Removed, Contagious, Quarantined, Threatened, Healed, and Extinct compartments of individuals) is defined to get reliable predictions on the pandemic dynamics on a regional basis. A stochastic Model Predictive Control problem is then formulated to select the necessary control actions to minimize the arising socio-economic costs. <br>In particular, considering the unavoidable uncertainty characterizing this decision-making process, we ensure that the capacity of the network of regional healthcare systems is not violated in accordance with a chance constraint approach.<br>Furthermore, since the infection rate depends on people’s mobility, differently from the related literature, we model the control actions as interventions affecting the mobility levels associated to different socio-economic categories.<br><div>The effectiveness of the presented method in properly supporting the definition of diversified regional strategies for tackling the COVID-19 spread is tested on the network of Italian regions using real data from the Italian Civil Protection Department. However, provided the availability of reliable data, the proposed approach can be easily extended to cope with other countries' characteristics and different levels of the spatial scale.</div><div><br></div><div>Preprint of paper submitted to IEEE Transactions on Automation Science and Engineering (<em>T-ASE</em>)</div>

scholarly journals An Optimality Analysis of the Phonological Processes in the Speech of Autistic Algerian Children: A Case Study

2020 ◽  
Vol 12 (4) ◽  
pp. 197
Author(s):  
Meymouna Bourzeg
Keyword(s):  
Autistic Child ◽  
Optimality Theory ◽  
Picture Naming ◽  
Current Paper ◽  
Autistic Children ◽  
Phonological Processes ◽  
Standard Arabic ◽  
Naming Test ◽  
Faithfulness Constraint

The current paper scrutinizes the phonological processes used by an autistic child, in Standard Arabic, via the use of a constraint-based framework of optimality theory. The data of the present study were collected through a picture-naming test. To ensure that the pictures are representative of all standard Arabic phonemes, the researcher designed a test containing 84 pictures representing three intra-word positions (initial, medial, and final). The results reveal that the autistic child grammar is characterized, mainly, with seven phonological processes: sibilant dentalization, de-emphasization, gliding, stopping, nasality spreading, final consonant deletion, and fronting. Autistic children's phonological system is stigmatized by unmarked forms. In terms of optimality theory, treating the phonological problems of autistic children requires demoting the highly ranked unmarked constraints and promoting the lowest-ranked faithfulness constraint.

A constraint approach for UWB and PDR fusion

2012 ◽  
Author(s):  
Francisco Zampella ◽  
Alessio De Angelis ◽  
Isaac Skog ◽  
Dave Zachariah ◽  
Antonio Jimenez
Keyword(s):  
Constraint Approach
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