scholarly journals Sensor-based Optimal Attitude Reorientation Control Scheme Based on Computational Programming Approach

2020 ◽  
Vol 32 (5) ◽  
pp. 1671
Author(s):  
Hao Gao ◽  
Long Wu ◽  
Chi-Hsin Yang ◽  
Kun-Chieh Wang
Keyword(s):  
Programming Approach ◽  
Control Scheme ◽  
Computational Programming

Explicit time discretization programming approach to risk modelling

GIS Business ◽  
2018 ◽  
Vol 13 (6) ◽  
pp. 29-35
Author(s):  
Anandadeep Mandal ◽  
Ruchi Sharma
Keyword(s):  
Financial Risk ◽  
Time Discretization ◽  
Business Environment ◽  
Programming Approach ◽  
Risk Modeling ◽  
Kutta Method ◽  
Runge Kutta Method ◽  
Runge Kutta ◽  
Multistep Model ◽  
Computational Programming

In this paper we formulate an explicit time discretization model for modeling risk by establishing an initial value problem as a function of time. The model is proved stable and the scaled-stability regions can encapsulated the volatile macroeconomic condition pertaining to financial risk. The model is extended to multistage schemes where we test for convergence under higher-order difference equations. Further, for addressing advection problems we have used Runge-Kutta method to propose a multistep model and have shown its stability patterns against general and absolute stability conditions. The paper also provides second-order and forth-order algorithm for computational programming of the models in practice. We conclude by stating that explicit time discretization models are stable and adequate for changing business environment. Keywords: Explicit time discretization; Runge-Kutta Method; algorithms; computational programming; risk modeling.

Adaptive Control Scheme for Coupled Tank Process

2018 ◽  
pp. 89-95
Author(s):  
Vinodhini M.
Keyword(s):  
Adaptive Control ◽  
Nonlinear Behaviour ◽  
Simulation Studies ◽  
Input Output ◽  
Control Scheme ◽  
Direct Model ◽  
Multivariable Process ◽  
Model Reference Adaptive ◽  
Siso System ◽  
Adaptive Control Scheme

The objective of this paper is to develop a Direct Model Reference Adaptive Control (DMRAC) algorithm for a MIMO process by extending the MIT rule adopted for a SISO system. The controller thus developed is implemented on Laboratory interacting coupled tank process through simulation. This can be regarded as the relevant process control in petrol and chemical industries. These industries involve controlling the liquid level and the flow rate in the presence of nonlinearity and disturbance which justifies the use of adaptive techniques such as DMRAC control scheme. For this purpose, mathematical models are obtained for each of the input-output combinations using white box approach and the respective controllers are developed. A detailed analysis on the performance of the chosen process with these controllers is carried out. Simulation studies reveal the effectiveness of proposed controller for multivariable process that exhibits nonlinear behaviour.

A Study on Concurrency Control Scheme for Scalability of Blockchain

2020 ◽  
Vol 20 (3) ◽  
pp. 71-78
Author(s):  
Yong-Hyeog Kang ◽  
◽  
Wonhyung Park
Keyword(s):  
Concurrency Control ◽  
Control Scheme

An Efficient Congestion Control Scheme for Data Using Tokens in Network

2012 ◽  
Vol 2 (11) ◽  
pp. 104-106
Author(s):  
C.Md.Jamsheed C.Md.Jamsheed ◽  
◽  
D.Surendra D.Surendra ◽  
D.Venkatesh D.Venkatesh
Keyword(s):  
Congestion Control ◽  
Control Scheme
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