By Peter Berggren, Staffan Nählinder

Assessing Command and keep an eye on Effectiveness: facing a altering global bargains an outline of the present kingdom of Command and regulate (C2) learn in imperfect settings, exhibiting how a learn technique should still determine, examine and speak effects to the advance cycle of equipment, paintings, manning and C2-technology. targeted recognition is given to the improvement of C2 examine tips on how to meet the present and coming wishes. The authors additionally glance ahead in the direction of a destiny the place powerful evaluation of C2 skills are much more the most important, for example in agile corporations. the aim of the C2 study is to enhance the method and make it more beneficial whereas nonetheless saving money and time. learn tools must be selected rigorously to be potent and easy, but supply result of top of the range. The methodological issues are an immense attention whilst operating less than such situations. moreover, there's frequently a necessity for a speedy iterative improvement cycle, and therefore a requirement to speedy carry effects from the study technique. This e-book explains how box learn experimentation should be fast, easy and potent, with the ability to draw legitimate conclusions even if pattern sizes are small and assets are constrained, gathering empirical information utilizing measures and methods which are minimally intrusive.

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However, the possibility of testing every aspect of a solution in laboratories or on test benches is limited. When putting it all together, the ‘system of system’ effects of combining technology, people, procedures, organization, and so forth cannot be studied in a laboratory setting. The complexity is simply too great, and if too much control is imposed the dynamics of real operations are lost. It is often desirable or necessary to assess experts in their natural, dynamic environment, for example during a training session or a field exercise.

Feedforward control is also sensitive to variability in system dynamics. The main advantage of feed-forward control is the possibility of counteracting the effects of disturbances before they are visible as undesired deviations from the reference. Control theory has proven that although feed-forward control can be considered the perfect mode of control, it is often only achievable for a limited time due to model errors caused by, among other things, the time constants of a process. However, if the system output can be used to determine the system state, there is only a limited need for detailed knowledge of system dynamics, and feedback control can be maintained.

Real-time dynamic decision-making: The effects of task complexity and feedback delays. In J. Rasmussen, B. Brehmer and J. Leplat (eds), Distributed Decision-making: Cognitive Models for Cooperative Work. Chichester: Wiley. Brehmer, B. and Svenmarck, P. (1995). Distributed decision-making in dynamic environments: Time scales and architectures of decision-making. P. Caverni, M. H. Barron and H. Jungermann (eds), Contributions to Decision-making I. V. , Salas, E. S. (1996). Establishing the boundaries of a paradigm for decision-making research.

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