scholarly journals Three-level algorithm to control COVID-19 spreading

Author(s):  
Giovanni M. Dieguez ◽  
Cristiane M. Batistela ◽  
José Roberto C. Piqueira

Abstract As the main ways of the coronavirus (COVID-19) spreading are air and physical contact, actions to mitigate and suppress its spreading must be developed in order to change population behavior, providing efficient control strategies. Here, these actions are described as a simple heuristic frame work to establish public policies. The possible effects of these actions are modeled as a stratified control algorithm applied to an extension of the Susceptible-Infected-Removed (SIR) compartmental model. The model dynamics is analyzed and validated with simulations considering parameters obtained from epidemiological data from Brazil and Uruguay. Model simulations allow the proposition of a three-level control strategy that, as the numerical experiment sshow, presents promising results for the development of strategies to reduce the spread of COVID-19.

2021 ◽  
Author(s):  
Giovanni M. Dieguez ◽  
Cristiane M. Batistela ◽  
José Roberto C. Piqueira

Abstract As the main ways of the coronavirus (COVID-19) spreading are airand physical contact, actions to mitigate and suppress its spreading must bedeveloped in order to change population behavior, providing efficient controlstrategies. Here, these actions are described as a simple heuristic frameworkto establish public policies. The possible effects of these actions are modeledas a stratified control algorithm applied to an extension of the Susceptible-Infected-Removed (SIR) compartmental model. The model dynamics is an-alyzed and validated with simulations considering parameters obtained fromepidemiological data from Brazil and Uruguay. Model simulations allow theproposition of a three-level control strategy that, as the numerical experimentsshow, presents promising results for the development of strategies to reducethe spread of COVID-19.


2014 ◽  
Vol 933 ◽  
pp. 343-347
Author(s):  
Guo Qing Zhou ◽  
Lei Li

In order to solve control puzzle of complicated characteristics for complex industrial object, the paper proposed an intelligent control strategy. First it made the anatomy and pointed out that the conventional control strategy is unsuitable to control the complex process. Based on comparison among control strategies, first it made decomposition and coordination for complex process, and then selected intelligence based control strategies, finally adopted human simulation intelligence based control algorithm to implement the optimization control of complex process with uncertainty. The simulation effect demonstrated that it is faster in response, high in control accuracy, and strong in robustness. The simulation shows that it is a wise choice to apply the intelligent control strategy for complex industrial process with uncertainty.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiaofang Kang ◽  
Jian Wu ◽  
Yewei Zhang ◽  
Guoliang Liu ◽  
Suhui Zhang ◽  
...  

A decentralized control strategy can effectively solve the control problem of the large-scale time delayed structures. In this paper, combining the overlapping decentralized control method, linear matrix inequality (LMI) method, and H∞ control algorithm, overlapping decentralized H∞ control approach of the time delayed structures has been established. The feedback gain matrixes of all subsystems are obtained by this method based on genetic algorithm optimization tools and the specific goal of optimization control. The whole vibration control system of the time delayed structures is divided into a series of overlapping subsystems by overlapping decentralized control strategy. The feedback gain matrixes of each subsystem can be obtained by using H∞ control algorithm to calculate each subsystem. The vibration control of a twenty layers’ antiseismic steel structure Benchmark model was analyzed with the numerical method. The results show that the proposed method can be applied to control system with time delay. The overlapping decentralized control strategies acquire the similar control effects with that of the centralized control strategy. Moreover, the flexibility of the controller design has been enhanced by using overlapping decentralized control strategies.


2004 ◽  
Vol 127 (2) ◽  
pp. 218-229 ◽  
Author(s):  
Sergio M. Savaresi ◽  
Enrico Silani ◽  
Sergio Bittanti

The problem considered in this paper is the design and analysis of control strategies for semiactive suspensions in road vehicles. The most commonly used control framework is the well-known Sky–Hook (SH) damping. Two-state or linear approximation of the SH concept are typically implemented. The goal of this paper is to analyze the optimality of SH-based control algorithms, and to propose an innovative control strategy, named Acceleration-Driven-Damper (ADD) control. It is shown that ADD is optimal in the sense that it minimizes the vertical body acceleration (comfort objective) when no road-preview is available. This control strategy is extremely simple; it requires the same sensors of the SH algorithms, and a simple two-state controllable damper. In order to assess and to compare the closed-loop performance of the SH and ADD control strategies, both a theoretical and a numerical analysis of performance are proposed.


2017 ◽  
Vol 2 (8) ◽  
pp. 27
Author(s):  
Ahmed Mohammed Attiya Soliman ◽  
Salah Kamal El-Sayed ◽  
M. A. Mehanna

The widespread use of power electronics in industrial, commercial and even residential electrical equipment like non-linear loads causes deterioration of the quality of the electric power supply with distortion of the supply voltage and in order to mitigate this quality the shunt active power filter (SAPF) is the suitable and effective solution for harmonic elimination and reactive power compensation and lead to power quality (PQ) improvement, therefor an effective and accurate current control technique is needed in order for a SAPF where control algorithm is the heart for SAPF to perform this function and its dynamic performance is mainly depends on these control strategy. This paper proposes three different current control strategies (CCS) based on instantaneous power theory and generalized fryze theory which used for the generation or extraction of the accurate reference current signals which comparing with the actual signals through hysteresis current technique (HCT) to produce suitable gating signals for SAPF and discusses the performance for these controllers when the supply bus voltage is distorted with scope on the efficient control algorithm. Matlab / Simulink simulation results are presented to validate the control strategy and demonstrate the effectiveness of SAPF to provide mitigation of power quality problems for non-linear load to reach an acceptable value comply with recommended standards.


Author(s):  
Runing Lin ◽  
Baisravan HomChaudhuri ◽  
Pierluigi Pisu

This paper presents a fuel efficient control strategy for a group of connected hybrid electric vehicles (HEVs) in urban road conditions. A hierarchical control architecture is proposed in this paper where the higher level controller is considered to be a part of the transportation infrastructure while the lower level controllers are considered to be present in every HEV. The higher level controller uses model predictive control strategy to evaluate the energy efficient velocity profiles for every vehicle for a given horizon. Each lower level controller then tracks its velocity profile (obtained from the higher level controller) in a fuel efficient fashion using equivalent consumption minimization strategy (ECMS). In this paper, the vehicles are modeled in Autonomie software and the simulation results provided in the paper shows the effectiveness of our proposed control architecture.


2016 ◽  
Vol 4 (5) ◽  
pp. 169-188
Author(s):  
Adewale ◽  
Olopade ◽  
Ajao ◽  
Adeniran

In this paper, a five (5) compartmental model is presented to study the transmission dynamics of Measles in a population at any point in time. The model is rigorously analyzed to gain insight into the dynamical features of Measles and also, optimal control theory is applied to give an optimality system which we used to minimize the number of infected individuals and propose the most suitable control strategy for the spread of measles. It is shown that the model has a diseases free equilibrium which is globally asymptotically stable (GAS). Also, there exists a unique endemic equilibrium point which is locally stable whenever the associated threshold quantity exceeds (one) unity. We also show that there exists a solution for the optimality system. From the result, it was observed that vaccine control strategy is more efficient in reducing the number of infected individuals as compared to other control strategies.


Author(s):  
Junwei Tian ◽  
Haoyu Niu ◽  
Peng Wang ◽  
YangQuan Chen

Abstract Smart farming focuses on the application of intelligent and autonomous machines to make agricultural production more effective. The development of Agriculture Unmanned Ground Vehicle (AUGV) makes it possible to utilize smart, small, intelligent robots in agriculture. Even existing AUGVs have been used in many fields, their disadvantages have limited the promotion of current AUGV system. Based on the demands of farmers, a new Low Cost Smart Agriculture Unmanned Ground Vehicle (LCS-AUGV) system is proposed. The challenges and opportunities of LCS-AUGV are discussed, and the frame work of LCS-AUGV is designed. The designed LCS-AUGV includes two subsystems: Unmanned Ground Vehicle System (UGVS) and Remote Control System (RCS), and diagrams of each subsystem are designed and described in detail. The measuring and control system (MCS) of LCS-AUGV is designed, and hierarchical structure is introduced into MCS. The new MCS principle can add or remove super information center easily, thus the high performance and low cost of the system can be taken into account. Based on the proposed MCS, a five-level control strategy is designed. The designed control strategy includes Basic Level Control (BLC), Low Level Control (HLC), Super Level Control (SLC), Agriculture Mission Based Control (AMBC). A LCS-AUGV platform is built at the basis of the designed frame work, and the cost analysis is performed. According to the analysis, the hardware cost can be controlled below $1000, while most super function can be realized. The typical applications also are described. LCS-AUGV provides an ideal platform for most smart farming tasks and is easily to be accepted by farmers. The LCS-AUGV also can be used in high level intelligence agriculture field, and be selected as a new algorithm’s research platform.


1993 ◽  
Vol 28 (11-12) ◽  
pp. 531-538 ◽  
Author(s):  
B. Teichgräber

A nitrification/denitrification process was applied to reject water treatment from sludge dewatering at Bottrop central sludge treatment facilities of the Emschergenossenschaft. On-line monitoring of influent and effluent turbidity, closed loop control of DO and pH, and on-line monitoring of nitrogen compounds were combined to a three level control pattern. Though on-line measurement of substrate and product showed substantial response time it could be used to operate nitrification/denitrification within process boundaries.


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