Dynamic modeling and analysis of COVID‐19 in different transmission process and control strategies

A humanoid robot is inherently complex due to the heterogeneity of accessory devices and to the interactions of various interfaces, which will be exponentially increased in multiple robotics collaboration. Therefore, the design and implementation of multiple humanoid robotics (MHRs) remains a very challenging issue. It is known that formal methods provide a rigorous analysis of the complexity in both design of control and implementation of systems. This article presents an agent-based framework of formal modeling on the design of communication and control strategies of a team of autonomous robotics, to attain the specified tasks in a coordinated manner. To ensure a successful collaboration of multiple robotics, this formal agent-based framework captures behaviors in Petri Net models and specifies collaboration operations in four defined operations. To validate the framework, a non-trivial soccer bot set was implemented and simulation results were discussed.

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Dynamic Modeling of Capsule Separator for Control of Hydraulic Capsule Pipelines

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.2802460 ◽

1999 ◽

Vol 121 (2) ◽

pp. 233-241 ◽

Cited By ~ 2

Author(s):

Hongliu Du ◽

Satish S. Nair

Keyword(s):

Dynamic Modeling ◽

Control Strategies ◽

Hydraulic Design ◽

Pipeline Systems ◽

Automation And Control ◽

Computer Controlled ◽

Strategy Design ◽

And Control ◽

Pipeline Design ◽

Pipeline Model

Hydraulic capsule pipelines concepts are novel as compared to existing commercial pipeline systems. The complexity of such novel systems places greater demands on sensing, automation, and control strategy design for such systems as compared to existing commercial pipeline systems. These issues, as well as hydraulic design automation and control strategies, are reported. A novel capsule separator design has also been proposed to ensure reliable functioning of ‘booster’ stations for such pipelines. Detailed dynamic modeling of the proposed capsule separator is performed for generating design and control guidelines. Validation of the overall hydraulic capsule pipeline design and control, and limited validation of the proposed capsule separator subsystem, are provided using a prototype hardware computer controlled pipeline model.

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Formal Modeling and Analysis of Collaborative Humanoid Robotics

International Journal of Robotics Applications and Technologies ◽

10.4018/ijrat.2018010103 ◽

2018 ◽

Vol 6 (1) ◽

pp. 34-54

Author(s):

Yujian Fu ◽

Zhijiang Dong ◽

Xudong He

Keyword(s):

Humanoid Robot ◽

Control Strategies ◽

Formal Modeling ◽

Rigorous Analysis ◽

Humanoid Robotics ◽

Modeling And Analysis ◽

Agent Based ◽

Design And Implementation ◽

And Control ◽

Successful Collaboration

A humanoid robot is inherently complex due to the heterogeneity of accessory devices and to the interactions of various interfaces, which will be exponentially increased in multiple robotics collaboration. Therefore, the design and implementation of multiple humanoid robotics (MHRs) remains a very challenging issue. It is known that formal methods provide a rigorous analysis of the complexity in both design of control and implementation of systems. This article presents an agent-based framework of formal modeling on the design of communication and control strategies of a team of autonomous robotics, to attain the specified tasks in a coordinated manner. To ensure a successful collaboration of multiple robotics, this formal agent-based framework captures behaviors in Petri Net models and specifies collaboration operations in four defined operations. To validate the framework, a non-trivial soccer bot set was implemented and simulation results were discussed.

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A Data-Informed Approach for Analysis, Validation, and Identification of COVID-19 Models

10.1101/2020.10.03.20206250 ◽

2020 ◽

Author(s):

S. Yagiz Olmez ◽

Jameson Mori ◽

Erik Miehling ◽

Tamer Başar ◽

Rebecca L. Smith ◽

...

Keyword(s):

Control Strategies ◽

Epidemiological Data ◽

Model Parameters ◽

Modeling And Analysis ◽

Viral Shedding ◽

Markovian Processes ◽

Transition Times ◽

Hidden States ◽

And Control ◽

Data Informed

AbstractThe COVID-19 pandemic has generated an enormous amount of data, providing a unique opportunity for modeling and analysis. In this paper, we present a data-informed approach for building stochastic compartmental models that is grounded in the Markovian processes underlying these models. Our initial data analyses reveal that the SIRD model – susceptiple (S), infected (I), recovered (R), and death (D) – is not consistent with the data. In particular, the transition times expressed in the dataset do not obey exponential distributions, implying that there exist unmodeled (hidden) states. We make use of the available epidemiological data to inform the location of these hidden states, allowing us to develop an augmented compartmental model which includes states for hospitalization (H) and end of infectious viral shedding (V). Using the proposed model, we characterize delay distributions analytically and match model parameters to empirical quantities in the data to obtain a good model fit. Insights from an epidemiological perspective are presented, as well as their implications for mitigation and control strategies.

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Dynamic modeling and control strategies of organic Rankine cycle systems: Methods and challenges

Applied Energy ◽

10.1016/j.apenergy.2020.115537 ◽

2020 ◽

Vol 276 ◽

pp. 115537 ◽

Cited By ~ 2

Author(s):

Muhammad Imran ◽

Roberto Pili ◽

Muhammad Usman ◽

Fredrik Haglind

Keyword(s):

Dynamic Modeling ◽

Control Strategies ◽

Organic Rankine Cycle ◽

Rankine Cycle ◽

Modeling And Control ◽

Cycle Systems ◽

And Control

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Dynamic Modeling and Analysis of Propulsion effect of 3 DoF robot

International Journal of Business & Technology ◽

10.33107/ijbte.2013.1.2.03 ◽

2013 ◽

Vol 1 (2) ◽

pp. 30-38

Author(s):

Ahmet Shala ◽

Xhevahir Bajrami

Keyword(s):

Dynamic Modeling ◽

Vertical Direction ◽

Robotic Systems ◽

Dynamical Modeling ◽

Modeling And Analysis ◽

Working Model ◽

Earth Gravity ◽

Modeling Analysis ◽

3D Software ◽

And Control

Dynamical Modeling of robots is commonly first important step of Modeling, Analysis and Control of robotic systems. This paper is focused on using Denavit-Hartenberg (DH) convention for kinematics and Newton- Euler Formulations for dynamic modeling of 3 DoF - Degree of Freedom of 3D robot. The process of deriving of dynamical model is done using Software Maple. Simulations are done using Matlab/Simulink for analysis of propulsion effect under Earth gravity when First Link rotates with 1000 rpm, second Link can move free in vertical direction and Third Link can rotates free around their rotations axle. Simulations results shows very good propulsion of proposed 3 DoF robot. Results are verified-compared with constructed model of 3 DoF robot using Working Model 3D Software.

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Design, Modelling, and Control Strategies of a Three Degrees-of-Freedom VR Spherical Motor Part II: Dynamic Modeling and Control

Solid Mechanics and Its Applications - Precision Sensors, Actuators and Systems ◽

10.1007/978-94-011-1818-7_4 ◽

1992 ◽

pp. 111-138 ◽

Cited By ~ 1

Author(s):

Kok-Meng Lee

Keyword(s):

Dynamic Modeling ◽

Degrees Of Freedom ◽

Control Strategies ◽

Modeling And Control ◽

Spherical Motor ◽

And Control ◽

Three Degrees Of Freedom

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Dynamic Modeling and Analysis of a Mobile Flexible Robot Arm

Volume 6: 14th International Conference on Multibody Systems, Nonlinear Dynamics, and Control ◽

10.1115/detc2018-85835 ◽

2018 ◽

Author(s):

Wei Chen ◽

Lipu Wei ◽

Xiuping Yang ◽

Jinjin Guo ◽

Xizheng Zhang ◽

...

Keyword(s):

Mobile Robot ◽

Dynamic Modeling ◽

Robot Manipulators ◽

Research Work ◽

Mobile Manipulator ◽

Robot Arm ◽

Flexible Robot ◽

Modeling And Analysis ◽

And Control ◽

Mobile Robot Manipulators

Considerable research attentions have recently been paid toward a mobile manipulator (a robot arm standing on a mobile platform) due to its extended workspace beyond the manipulator reach. Mobile manipulators have a wide range of potential applications where it is desirable to achieve higher degree of flexibility in transport and handling task. However, a vast number of research publications only focus on trajectory planning. This preliminary research work presents dynamic modeling and analysis of a mobile flexible robot arm with aims to provide insights for the design and control of such mobile robot manipulators. In this work, the dynamic model is developed using a computationally efficient method: Discrete Time Transfer Matrix Method (DT-TMM). The concepts and principle of DT-TMM are briefly overviewed, and then are applied to a mobile flexible robot arm for dynamic modeling with the detailed procedure. Numerical simulations and dynamic analyses are performed to illustrate the effectiveness of the proposed dynamic modeling method, and to provide the clues for our ongoing research work in the design and control of mobile robot manipulators.

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