Time/Space Separation Based FOA-Elman Modeling for Non-Linear Distributed Parameter Processes—Spatial-Temporal Modeling

2019 ◽  
Vol 09 (02) ◽  
pp. 328-338
Author(s):  
仁建 杨
Keyword(s):  
Distributed Parameter ◽  
Temporal Modeling ◽  
Time Space ◽  
Non Linear ◽  
Space Separation

Time/Space-Separation-Based SVM Modeling for Nonlinear Distributed Parameter Processes

2011 ◽  
Vol 50 (1) ◽  
pp. 332-341 ◽  
Author(s):  
Chenkun Qi ◽  
Han-Xiong Li ◽  
Xianxia Zhang ◽  
Xianchao Zhao ◽  
Shaoyuan Li ◽  
...  
Keyword(s):  
Distributed Parameter ◽  
Time Space ◽  
Space Separation

Spectral Based Spatio-Temporal Modeling for Thermal Crown of Aluminium Alloy Hot Rolling Processes

2012 ◽  
Vol 197 ◽  
pp. 696-702 ◽  
Author(s):  
Mian Jiang ◽  
Hua Deng ◽  
Chang Qing Huang
Keyword(s):  
Neural Networks ◽  
Aluminium Alloy ◽  
Temporal Modeling ◽  
Modeling Approach ◽  
Time Space ◽  
Thermal Crown ◽  
The Neural Networks ◽  
Spatio Temporal ◽  
Low Dimensional ◽  
Space Separation

A spectral based low-dimensional spatio-temporal modeling approach is proposed for thermal crown of work rolling in aluminium alloy rolling processes. Firstly，the Karhunen-Loève (KL) decomposition is used for dimension reduction and time/space separation. The neural networks are used for dynamic modeling. The simulations have demonstrated the effectiveness of the proposed spatio-temporal modeling approach..

scholarly journals An Optimal Feedback Control Strategy for Nonlinear, Distributed-Parameter Processes

Processes ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 758 ◽  
Author(s):  
Debaprasad Dutta ◽  
Simant Ranjan Upreti
Keyword(s):  
Feedback Control ◽  
Oil Recovery ◽  
Control Strategy ◽  
Moving Boundary ◽  
State Feedback Control ◽  
Optimal Feedback Control ◽  
Distributed Parameter ◽  
Optimal State ◽  
Non Linear ◽  
Feedback Control Strategy

In this work, an optimal state feedback control strategy is proposed for non-linear, distributed-parameter processes. For different values of a given parameter susceptible to upsets, the strategy involves off-line computation of a repository of optimal open-loop states and gains needed for the feedback adjustment of control. A gain is determined by minimizing the perturbation of the objective functional about the new optimal state and control corresponding to a process upset. When an upset is encountered in a running process, the repository is utilized to obtain the control adjustment required to steer the process to the new optimal state. The strategy is successfully applied to a highly non-linear, gas-based heavy oil recovery process controlled by the gas temperature with the state depending non-linearly on time and two spatial directions inside a moving boundary, and subject to pressure upsets. The results demonstrate that when the process has a pressure upset, the proposed strategy is able to determine control adjustments with negligible time delays and to navigate the process to the new optimal state.

In search of lost space: The process of space planning through remembering and history

Organization ◽  
2015 ◽  
Vol 23 (1) ◽  
pp. 71-89 ◽  
Author(s):  
Fabio James Petani ◽  
Jeanne Mengis
Keyword(s):  
Production Of Space ◽  
Space Planning ◽  
The Past ◽  
Time Space ◽  
Non Linear ◽  
Over Time ◽  
Contested Narratives

This article explores the role of remembering and history in the process of planning new spaces. We trace how the organizational remembering of past spaces enters the conception (i.e. planning) of a large culture center. By drawing on Henri Lefebvre’s reflections on history, time and memory, we analyze the processual interconnections of his spatial triad, namely between the planned, practiced, and lived moments of the production of space. We find that over time space planning involves recurrent, changing, and contested narratives on ‘lost spaces’, remembering happy spaces of the past that articulate a desire to regain them. The notion of lost space adds to our understanding of how space planning involves, through organizational remembering, a sociomaterial and spatiotemporal work of relating together different spaces and times in non-linear narratives of repetition.

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