A joint power allocation and control scheme based on SER performance in cognitive cooperative communications system

Dynamic model development and control of an existing operating industrial continuous bulk free radical styrene polymerization process are carried out to evaluate the performance of auto-refrigerated CSTRs (continuous stirred tank reactors). One of the most difficult tasks in polymerization processes is to control the high viscosity reactor contents and heat removal. In this study, temperature control of an auto-refrigerated CSTR is carried out using an alternative control scheme which makes use of a vacuum system connected to the condenser and has not been addressed in the literature (i.e. to the best of our knowledge). The developed model is then verified using some experimental data of the real operating plant. To show the heat removal potential of this control scheme, a common control strategy used in some previous studies is also simulated. Simulation results show a faster dynamics and superior performance of the first control scheme which is already implemented in our operating plant. Besides, a nonlinear model predictive control (NMPC) is developed for the polymerization process under study to provide a better temperature control while satisfying the input/output and the heat exchanger capacity constraints on the heat removal. Then, a comparison has been also made with the conventional proportional-integral (PI) controller utilizing some common tuning rules. Some robustness and stability analyses of the control schemes investigated are also provided through some simulations. Simulation results clearly show the superiority of the NMPC strategy from all aspects.

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Joint Power Allocation and Caching for SVC Videos in Heterogeneous Networks

2018 IEEE Global Communications Conference (GLOBECOM) ◽

10.1109/glocom.2018.8647476 ◽

2018 ◽

Cited By ~ 3

Author(s):

Daren Zhu ◽

Hancheng Lu ◽

Zhuojia Gu ◽

Yujiao Lu ◽

Fengqian Guo

Keyword(s):

Power Allocation ◽

Heterogeneous Networks ◽

Joint Power

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Joint power allocation and transparent repeater gain setting algorithm in satellite communication systems

2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS) ◽

10.1109/eiis.2017.8298679 ◽

2017 ◽

Author(s):

Yu Shi ◽

Daoxing Guo ◽

Bangning Zhang

Keyword(s):

Power Allocation ◽

Communication Systems ◽

Satellite Communication ◽

Joint Power

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NEURAL MODELING AND CONTROL OF DYNAMIC SYSTEMS WITH HYSTERESIS

Transactions of the Canadian Society for Mechanical Engineering ◽

10.1139/tcsme-2007-0008 ◽

2007 ◽

Vol 31 (1) ◽

pp. 127-141

Author(s):

Yonghong Tan ◽

Xinlong Zhao

Keyword(s):

Dynamic Systems ◽

Control Strategy ◽

Neural Modeling ◽

Modeling And Control ◽

Control Scheme ◽

The Neural Networks ◽

Adaptive Control Strategy ◽

Set Up ◽

Modeling Strategy ◽

And Control

A hysteretic operator is proposed to set up an expanded input space so as to transform the multi-valued mapping of hysteresis to a one-to-one mapping so that the neural networks can be applied to model of the behavior of hysteresis. Based on the proposed neural modeling strategy for hysteresis, a pseudo control scheme is developed to handle the control of nonlinear dynamic systems with hysteresis. A neural estimator is constructed to predict the system residual so that it avoids constructing the inverse model of hysteresis. Thus, the control strategy can be used for the case where the output of hysteresis is unmeasurable directly. Then, the corresponding adaptive control strategy is presented. The application of the novel modeling approach to hysteresis in a piezoelectric actuator is illustrated. Then a numerical example of using the proposed control strategy for a nonlinear system with hysteresis is presented.

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Joint Power Allocation and Passive Beamforming Design for IRS-Assisted Physical-Layer Service Integration

IEEE Transactions on Wireless Communications ◽

10.1109/twc.2021.3082530 ◽

2021 ◽

pp. 1-1

Author(s):

Boyu Ning ◽

Zhi Chen ◽

Zhongbao Tian ◽

Xiaomei Wang ◽

Cunhua Pan ◽

...

Keyword(s):

Power Allocation ◽

Service Integration ◽

Physical Layer ◽

Joint Power

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Semi-Active Magnetic Levitation System for Education

Applied Sciences ◽

10.3390/app11125330 ◽

2021 ◽

Vol 11 (12) ◽

pp. 5330

Author(s):

Gisela Pujol-Vázquez ◽

Alessandro N. Vargas ◽

Saleh Mobayen ◽

Leonardo Acho

Keyword(s):

Pid Control ◽

Magnetic Levitation ◽

Low Cost ◽

Control Scheme ◽

Hands On ◽

Levitation System ◽

Magnetic Levitation System ◽

And Control ◽

Active Control Strategy ◽

Cost Components

This paper describes how to construct a low-cost magnetic levitation system (MagLev). The MagLev has been intensively used in engineering education, allowing instructors and students to learn through hands-on experiences of essential concepts, such as electronics, electromagnetism, and control systems. Built from scratch, the MagLev depends only on simple, low-cost components readily available on the market. In addition to showing how to construct the MagLev, this paper presents a semi-active control strategy that seems novel when applied to the MagLev. Experiments performed in the laboratory provide comparisons of the proposed control scheme with the classical PID control. The corresponding real-time experiments illustrate both the effectiveness of the approach and the potential of the MagLev for education.

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