Complex Engineered Systems: Science Meets Technology by Dan Braha, Ali A. Minai, Yaneer Bar-Yam

By Dan Braha, Ali A. Minai, Yaneer Bar-Yam

Fresh advances in technological know-how and know-how have ended in a swift increasein the complexity of such a lot engineered platforms. in lots of awesome cases,this swap has been a qualitative one instead of simply one among magnitude.A new type of complicated Engineered platforms (CES) has emerged as a resultof applied sciences corresponding to the net, GPS, instant networking, micro-robotics, MEMS, fiber-optics and nanotechnology. those complicated engineered platforms are composed of many heterogeneous subsystems and are characterised by way of observable advanced behaviors that come to be as a result nonlinear spatio-temporal interactions one of the subsystems at a number of degrees of association and abstraction. Examples of such structures contain the World-Wide net, air and flooring site visitors networks, disbursed production environments, and globally disbursed provide networks, in addition to new paradigms equivalent to self-organizing sensor networks, self-configuring robots, swarms of self reliant airplane, clever fabrics and buildings, and self-organizing desktops. knowing, designing, development and controlling such advanced structures goes to be a critical problem for engineers within the coming many years.

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Changes in the individual parts take place through introducing alternate components (equipment, software, training or by moving people to different tasks). All of these changes are part of the dynamics of the system. Within this environment it is possible for conventional engineering of equipment or software components to occur. The focus of such engineering efforts is on change to small parts of the system rather than on change to the system as a whole. This concept of incremental replacement of components (equipment, software, training, tasks) involves changes in one part of the system, not in every part of the system.

4] Y. Bar-Yam, When Systems Engineering Fails --- Toward Complex Systems Engineering, International Conference on Systems, Man & Cybernetics, 2003, Vol. 2, 2021- 2028, IEEE Press, Piscataway, NJ, 2003. [5] D. Braha and O. Maimon, A Mathematical Theory of Design: Foundations, Algorithms and Applications, Kluwer, Boston, 1998. [6] Y. Bar-Yam, Dynamics of Complex Systems, (Perseus, Reading, MA, 1997). [7] Y. Bar-Yam: General Features of Complex Systems, in Encyclopedia of Life Support Systems (EOLSS), UNESCO, EOLSS Publishers, Oxford, UK, 2002 [8] Y.

Despite the superficial complexity of the Manhattan and Space Projects, the tasks that they were striving to achieve were relatively simple compared to the problem of air traffic control. To understand complexity of Air Traffic Control (ATC), it is necessary to consider the problem of 3-dimensional trajectory separation --- ensuring that paths of any two planes do not intersect at the same time, considering the many airplanes taking off and landing in a short period of time, and taking into account the remarkably low probability of failure that safety constraints impose.

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