Page 53 - Biosystems Engineering
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34    Chapter  Two

                      all living organisms (human, animal, microorganisms, and
                      even plants) are also dynamic systems because they change
                      over time.
                    •  A system can constitute different subsystems that interact with
                      each other (e.g., organs in a human body) or can be part of a
                      larger system (e.g., individual organisms in a population). Often,
                      complex systems can be decomposed in subsystems on different
                      levels or scales and are, therefore, called multiscale systems.


                 Example  A combine harvester is a highly complex biologically related dynamic
                 system, which can be split into different subsystems such as the header, the straw
                 elevator, the threshing, the separation, the cleaning and the grain elevator. These
                 subsystems themselves contain smaller subsystems. The cleaning section, for
                 example, consists of a number of shaking sieves and a fan, which are dynamic
                 systems themselves.

                 Goal  The aim of biosystems analysis is to gain insight into the behavior of a
                 system, such that we can predict the system behavior and eventually control it
                 by actively adapting its dynamics.

                   This chapter is dedicated to the application of systems analysis to
               biologically related problems. The reader is introduced to the methods
               for model building, system analysis through computer simulations,
               system identification, and optimization methods.
                   The examples given in this chapter are limited to biotechnical
               systems (agricultural machinery). Some examples of biotechnical
               systems where we have applied the principles described in this
               chapter are control of slurry injectors (Saeys et al. 2007, 2008a, 2008b),
               cab suspension design (De Temmerman et al. 2004, 2005), spray
               boom suspension design (Ramon et al. 1998; Anthonis and Ramon
               2003; Deprez et al. 2003), cruise control (Coen et al. 2008a, 2008b),
               and an autopilot (Coen et al. 2008c) for a combine harvester, and
               modeling and control of pasta drying (De Temmerman et al. 2007,
               2009). However, the methods described can also be applied to purely
               biological systems.



          2.2 System Representation


               2.2.1  Block Diagram Representation
               Throughout history, engineers have always sought to describe reality
               in a structured way. A common form of representation for dynamic
               systems is to use block diagrams. These diagrams are meant to repre-
               sent the system as a block or a box where all signals entering (inputs)
               and exiting (outputs) the system are represented as directed lines.
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