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Modeling and control in physiology  9


                                                   Pout, Qout




                           Vessel
                                              R      L
                                      Pin                    Pout
                                                          C
                         Pin, Qin
                                     Qin                        Qout


              Fig. 3 Equivalent electronic circuit of blood vessels system.



















              Fig. 4 Equivalent mechanical model of the human bipedal walking process. (The figure
              has been adopted from Joe, H.M., Oh, J.H., 2019. A robust balance-control framework for
              the terrain-blind bipedal walking of a humanoid robot on unknown and uneven terrain.
              Sensors 19 (19), 4194.)

              regression models and popular biologically inspired computational models
              including neural networks and genetic algorithms. DDM is based on analyz-
              ing the data about input, internal and output variables of a system without
              explicit knowledge of the physical behavior as described by Fig. 5. The avail-
              ability of sufficient patient historical data has paved the way for the introduc-
              tion of machine learning and its application for intelligent and improved
              systems for diabetes management (Dutta et al., 2018; Paoletti et al.,
              2019), immunology (Fong et al., 2018), brain diseases (Karim et al. 2018;
              Oxtoby et al., 2018), and so on.

              2.3 Classification of mathematical models
              Physiological systems are dynamical systems and then generally described
              mathematically by differential equations. A model in physiology is usually
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