scholarly journals COLOMBIAN MILITARY TRANSFORMATION: STRATEGIC REALITY AND OVERCOMING RESISTANCES

2021 ◽  
Vol 10 (19) ◽  
Author(s):  
Víctor M. Mijares ◽  
Paula Alejandra González
Keyword(s):  
Linear Process ◽  
Process Tracing ◽  
Partner Status ◽  
Domestic Conflict ◽  
Military Forces ◽  
Non Linear ◽  
Military Transformation ◽  
Complex Scenario ◽  
Tracing Method

After the signing of peace in Colombia, attention has been directed to the difficult process of implementing the agreements. This complex scenario has downplayed the problem of Colombian military transformation. The basis of that transformation, the Damasco doctrine, the, has encountered resistance within the Colombian Military Forces. Through the application of a process tracing method, we infer that there is a non-linear process, but in progress towards the fulfillment of the objectives of the doctrine. Thus, we identify three drivers that are making this transformation progress: a renewed confrontation with Venezuela; the changing nature of the domestic conflict; and the Colombia’s NATO global partner status.

scholarly journals Towards a contemporary player learning in development framework for sports practitioners

2021 ◽  
pp. 174795412110023
Author(s):  
Mark O Sullivan ◽  
Carl T Woods ◽  
James Vaughan ◽  
Keith Davids
Keyword(s):  
Linear Process ◽  
Task Environment ◽  
Coach Education ◽  
Development Framework ◽  
Novel Approach ◽  
Non Linear ◽  
And Performance ◽  
Learning Development ◽  
High Level ◽  
User Friendly

As it is appreciated that learning is a non-linear process – implying that coaching methodologies in sport should be accommodative – it is reasonable to suggest that player development pathways should also account for this non-linearity. A constraints-led approach (CLA), predicated on the theory of ecological dynamics, has been suggested as a viable framework for capturing the non-linearity of learning, development and performance in sport. The CLA articulates how skills emerge through the interaction of different constraints (task-environment-performer). However, despite its well-established theoretical roots, there are challenges to implementing it in practice. Accordingly, to help practitioners navigate such challenges, this paper proposes a user-friendly framework that demonstrates the benefits of a CLA. Specifically, to conceptualize the non-linear and individualized nature of learning, and how it can inform player development, we apply Adolph’s notion of learning IN development to explain the fundamental ideas of a CLA. We then exemplify a learning IN development framework, based on a CLA, brought to life in a high-level youth football organization. We contend that this framework can provide a novel approach for presenting the key ideas of a CLA and its powerful pedagogic concepts to practitioners at all levels, informing coach education programs, player development frameworks and learning environment designs in sport.

scholarly journals Internal model controller based PID with fractional filter design for a nonlinear process

2020 ◽  
Vol 10 (1) ◽  
pp. 243
Author(s):  
Hemavathy P.R. ◽  
Mohamed Shuaib Y ◽  
S.K. Lakshmanaprabu
Keyword(s):  
Internal Model ◽  
Process Model ◽  
Filter Design ◽  
Linear Process ◽  
Piecewise Linearization ◽  
Time Model ◽  
First Order ◽  
Non Linear ◽  
Internal Model Controller ◽  
Fractional Filter

In this paper, an Internal model Controller (IMC) based PID with fractional filter for a first order plus time delay process is proposed. The structure of the controller has two parts, one is integer PID controller part cascaded with fractional filter. The proposed controller has two tuning factors λ, filter time constant and a, fractional order of the filter. In this work, the two factors are decided in order to obtain low Integral Time Absolute Error (ITAE). The effectiveness of the proposed controller is studied by considering a non linear (hopper tank) process. The experimental set up is fabricated in the laboratory and then data driven model is developed from the experimental data. The non linear process model is linearised using piecewise linearization and two linear regions are obtained. At each operating point, linear first order plus dead time model is obtained and the controller is designed for the same. To show the practical applicability, the proposed controller is implemented for the proposed experimental laboratory prototype.

Principal curve-based monitoring chart for anomaly detection of non-linear process signals

2016 ◽  
Vol 90 (9-12) ◽  
pp. 3523-3531 ◽  
Author(s):  
Seung Hwan Park ◽  
Cheong-Sool Park ◽  
Jun-Seok Kim ◽  
Jun-Geol Baek
Keyword(s):  
Anomaly Detection ◽  
Linear Process ◽  
Principal Curve ◽  
Non Linear
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