Cascade Control System-Based Cost Effective Combination of Tensor Product Model Transformation and Fuzzy Control

2014 ◽  
Vol 17 (2) ◽  
pp. 381-391 ◽  
Author(s):  
Radu-Emil Precup ◽  
Emil M. Petriu ◽  
Mircea-Bogdan Rădac ◽  
Stefan Preitl ◽  
Lucian-Ovidiu Fedorovici ◽  
...  
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Tensor Product ◽  
Model Transformation ◽  
Cost Effective ◽  
Cascade Control ◽  
Product Model ◽  
Effective Combination ◽  
Cascade Control System

The Application of Adaptive Fuzzy PID in the Liquid Level Cascade Control System

2013 ◽  
Vol 846-847 ◽  
pp. 321-324 ◽  
Author(s):  
Le Peng Song ◽  
Hua Bin Wang
Keyword(s):  
Control System ◽  
Pid Control ◽  
Cascade Control ◽  
Liquid Level ◽  
Water Tank ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adaptive Fuzzy ◽  
Cascade Control System ◽  
Self Adaptive

As liquid level cascade system has the character the issue of non-linearity ,time variability and the overshoot,tradition PID control can not meet the requirement of precise molding system. So devise a self-_ adaptive fuzzy PID control .A self-_ adaptive fuzzy PID control combined PID to control calculate way and faintness to control the advantage of method, this text permits water tank to carry on mathematics model to design the double permit a water tank liquid misty PID string class control system. Matlab/Simulink and fuzzy logic toolbox are simulated to the single loop PID control system,the cascade control system and the cascade control system based on fuzzy self-tuning PID were simulated with Simulink. The analysis and simulation results indicate that the character issue of non-linearity ,time variability and the overshoot of the liquid level cascade control system based on a self-_ adaptive fuzzy PID controller are superior to previous of two methods.

Fuzzy Fractional Order PID Based Parallel Cascade Control System

2014 ◽  
pp. 293-302 ◽  
Author(s):  
Rangaswamy Karthikeyan ◽  
Sreekanth Pasam ◽  
Sandu Sudheer ◽  
Vallabhaneni Teja ◽  
Shikha Tripathi
Keyword(s):  
Control System ◽  
Fractional Order ◽  
Cascade Control ◽  
Fractional Order Pid ◽  
Cascade Control System

A parallel and cascade control system: magnetofection of miR125b for synergistic tumor-association macrophage polarization regulation and tumor cell suppression in breast cancer treatment

Nanoscale ◽  
2020 ◽  
Vol 12 (44) ◽  
pp. 22615-22627
Author(s):  
Ao Hu ◽  
Xiaobing Chen ◽  
Qunjie Bi ◽  
Yang Xiang ◽  
Rongrong Jin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Control System ◽  
Tumor Cell ◽  
Cancer Treatment ◽  
Macrophage Polarization ◽  
Breast Cancer Treatment ◽  
Cascade Control ◽  
Cell Suppression ◽  
Tumor Association ◽  
Cascade Control System

A parallel and cascade controllable magnetofection system for synergistic tumor-association macrophage repolarization and tumor cell suppression in breast cancer treatment.

scholarly journals Performance Assessment of Cascade Control System with Non-Gaussian Disturbance Based on Minimum Entropy

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 379 ◽  
Author(s):  
Qian Zhang ◽  
Ya-Gang Wang ◽  
Fei-Fei Lee ◽  
Wei Zhang ◽  
Qiu Chen
Keyword(s):  
Control System ◽  
Performance Assessment ◽  
Chemical Engineering ◽  
Control Strategies ◽  
Thermal Power ◽  
Cascade Control ◽  
Effective Control ◽  
Minimum Entropy ◽  
Non Gaussian ◽  
Cascade Control System

Due to the fact that cascade control can improve the single-loop’s performance well and reduce the integral error from disturbance response, it has been one of the most important control strategies in industrial production, especially in thermal power plant and chemical engineering. However, most of the existing research is based on the Gaussian system and other few studies on the non-Gaussian cascade disturbance system also have obvious defects. In this paper, an effective control loop performance assessment (CPA) of cascade control system for many non-Gaussian distributions even the unknown mixture disturbance noise has been proposed. Compared to the minimum variance control (MVC) approach, the minimum entropy control (MEC) method can obtain a more accurate estimate. In this method, like MVC, the primary loop output and secondary loop output can be represented as invariant and dependent terms, then adopted estimated distribution algorithm (EDA) is used to achieve the system model and disturbances. In order to show the effectiveness of MEC, some simulation examples based on different perturbations are given.

COMPLEXITY RELAXATION OF THE TENSOR PRODUCT MODEL TRANSFORMATION FOR HIGHER DIMENSIONAL PROBLEMS

2008 ◽  
Vol 9 (2) ◽  
pp. 195-200 ◽  
Author(s):  
Péter Baranyi ◽  
Zoltén Petres ◽  
Péter Korondi ◽  
Yeung Yam ◽  
Hideki Hashimoto
Keyword(s):  
Tensor Product ◽  
Model Transformation ◽  
Product Model ◽  
Higher Dimensional

scholarly journals Affine Tensor Product Model Transformation

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
József Kuti ◽  
Péter Galambos
Keyword(s):  
Tensor Product ◽  
Model Transformation ◽  
Numerical Approach ◽  
The Novel ◽  
Product Model ◽  
Linear Parameter Varying ◽  
Proposed Model ◽  
Model Size ◽  
Novel Concept ◽  
Discretization Grid

This paper introduces the novel concept of Affine Tensor Product (TP) Model and the corresponding model transformation algorithm. Affine TP Model is a unique representation of Linear Parameter Varying systems with advantageous properties that makes it very effective in convex optimization-based controller synthesis. The proposed model form describes the affine geometric structure of the parameter dependencies by a nearly minimum model size and enables a systematic way of geometric complexity reduction. The proposed method is capable of exact analytical model reconstruction and also supports the sampling-based numerical approach with arbitrary discretization grid and interpolation methods. The representation conforms with the latest polytopic model generation and manipulation algorithms. Along these advances, the paper reorganizes and extends the mathematical theory of TP Model Transformation. The practical merit of the proposed concept is demonstrated through a numerical example.

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