scholarly journals Two Types of Verb Reduplications in Mandarin Chinese

2020 ◽  
Vol 41 (1) ◽  
pp. 73-108
Author(s):  
Zhu Xie
Keyword(s):  
Mandarin Chinese ◽  
Input Output ◽  
High Productivity ◽  
Output Constraints ◽  
Generative Mechanisms

AbstractThis paper analyzes verb reduplication in Mandarin Chinese under a lexicalist framework. By adopting the Lexicalist Hypothesis proposed by Chomsky (1970), a distinction has been made between syntactic and morphological verb reduplications by means of five tests: productivity, le insertion, categorial stability, transitivity, and input/output constraints. It is found that the AA and ABAB patterns of verb reduplication have relatively high productivity and regular syntactic behaviors, whereas the AABB pattern of verb reduplication shows extremely low productivity and syntactic idiosyncrasy. Given these observations, this paper proposes that the AA and ABAB patterns should be syntactic verb reduplications derived at the syntactic level, whereas the AABB pattern should be morphological verb reduplication formed in the lexicon. The two types of verb reduplications have different generative mechanisms.

MIMO Adaptive Generalized Predictive Control with Input-Output Constraints

1988 ◽  
Vol 21 (7) ◽  
pp. 15-20
Author(s):  
J.M. Dion ◽  
L. Dugard ◽  
Nguyen Minh Tri
Keyword(s):  
Predictive Control ◽  
Generalized Predictive Control ◽  
Input Output ◽  
Output Constraints

scholarly journals Swing-up Control of an Inverted Pendulum Subject to Input/Output Constraints

2014 ◽  
Vol 20 (8) ◽  
pp. 835-841 ◽  
Author(s):  
Tum Meta ◽  
Gi-Young Gyeong ◽  
Jae-Heon Park ◽  
Young-Sam Lee
Keyword(s):  
Inverted Pendulum ◽  
Input Output ◽  
Output Constraints

scholarly journals Synchronization of linear agents with input/output constraints

2017 ◽  
Vol 50 (1) ◽  
pp. 1817-1821 ◽  
Author(s):  
Kiyotsugu Takaba
Keyword(s):  
Input Output ◽  
Output Constraints

Optimal experiment design for linear systems with input-output constraints

Automatica ◽  
1977 ◽  
Vol 13 (6) ◽  
pp. 571-577 ◽  
Author(s):  
Tung Sang Ng ◽  
Graham C. Goodwin ◽  
Torsten Söderström
Keyword(s):  
Linear Systems ◽  
Experiment Design ◽  
Input Output ◽  
Optimal Experiment Design ◽  
Optimal Experiment ◽  
Output Constraints

scholarly journals Smith predictor-based PI control of a wet granulation process

2018 ◽  
Vol 1 (1) ◽  
pp. 12-18
Author(s):  
Tamir Shaqarin
Keyword(s):  
Dead Time ◽  
Current Approach ◽  
Smith Predictor ◽  
Wet Granulation ◽  
Input Output ◽  
Reference Tracking ◽  
Granulation Process ◽  
Control Approach ◽  
Output Constraints ◽  
Dead Time Compensation

The need for prediction and reference updating in feedback control of a wet granulation process is addressed. The granulation process is often modeled as a multi-input multi-output (MIMO) linear model with dead-time. Industrial implementation of granulation process poses strict constraints on the process inputs & outputs. The presence of dead-time and the physical necessity of the input-output constraints are the key challenges of the wet granulation control. These challenges motivated the use of model predictive control (MPC) for such processes. In this work, a Smith predictor-based proportional-integral (PI) controller is designed for the dead-time compensation. Accompanied with the reference updating method to handle the physical constraints. The regulation and reference tracking control problems are assessed via closed-loop simulations of the wet granulation model. The ability of the proposed control approach of dead-time compensation and coping with input/output constraints is rigorously proved. The current approach is compared to MPC of a similar granulation process and found superior in terms of output stability, performance and reference tracking.

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