Page 23 - Neural Network Modeling and Identification of Dynamical Systems
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1.1 THE DYNAMICAL SYSTEM AS AN OBJECT OF STUDY              11
                          in principle. Therefore, it seems appropriate for  in the same way. The properties of such systems
                          aircraft control to interpret possible sharp and  are either constant or vary according to some
                          unpredictable changes in the dynamical prop-  preserved relationship. Examples of such sys-
                          erties of aircraft due to failures and damage as  tems are an unguided missile with a detachable
                          another class of uncertainties. Compensation of  booster and an uncontrolled aircraft with a mass
                          the impact of these factors on the aircraft behav-  that varies due to fuel consumption.
                          ior is the responsibility of the adaptation mech-  We assume that the system DS is a triple
                          anisms. These mechanisms must ensure fault-                  DS  DS   DS
                          tolerant and damage-tolerant control of the air-      DS = X   ,    ,T   ,
                          craft, i.e., control that can adapt to a change in     X DS  ⊆ X,T  DS  ⊆ T,       (1.3)
                          the dynamics of the controlled object generated   DS     DS          DS     DS
                          by failures or damage. The result of such adap-      =     (x,t),x ∈ X  ,t ∈ T  .
                          tation should be the restoration of the aircraft
                                                                       Here X is the phase space (state space) of the
                          stability and controllability to a level acceptable  system (1.3), the elements (“points”) x ∈ X of
                                                                             8
                          from the flight safety point of view.         which are the possible phase states (phase vec-
                                                                                                           T
                                                                       tor) of the given system, x = (x 1 ,...,x n ) , x 1 ∈
                          1.1.2 Classes of Dynamical Systems           X 1 ,...,x n ∈ X n , X = X 1 × ... × X n ; x 1 ,...,x n are
                                                                       the state variables (phase coordinates) of the sys-
                            In this section, we form a hierarchy of system-  tem DS; X DS  ⊆ X is the range of admissible val-
                          objects as a sequence of definitions of their  ues of phase states of the system (1.3); T is the
                          classes, ordered by their level of capabilities.  set of all possible time instants (“world time”)
                            The system-objects, considered below, differ  endowed with a structure of linear order (that is,
                          from each other in their properties and, as a con-  ordered by the relation  ), T  DS  ⊆ T is the set of
                          sequence, the level of potential capabilities.  instants of the system operation time (“system
                            We use the following features to differentiate  time”);   DS  =   DS (x,t), x ∈ X DS , t ∈ T  DS ,isa
                          systems of various classes:                  rule that allows us to determine the state of the
                                                                       system (1.3) at each time instant t ∈ T DS ,given
                          • the presence/absence of uncertainties in the  its states at all previous time instants. Systems
                                                                                                        9
                            system that affect the properties of the system;
                                                                       of the class DS are the subject of the study of the
                          • the presence/absence of the possibility for the
                                                                       modern theory of dynamical systems (see, for
                            system to control its behavior as a way of ac-
                                                                       example, [7,20]).
                            tively responding to changes in the current
                            and/or predicted situation;
                                                                       8 The terminology adopted here goes back to the traditions
                          • the presence/absence of the possibility for the
                                                                       of mechanics, the theory of dynamical systems, and also the
                            system to adapt to changes in the properties
                                                                       theory of control and controlled systems. This seems quite
                            of the object and/or environment;          logical, because of the fundamental role played by the con-
                          • the presence/absence of goal-setting capabil-  cept of a dynamical system for the class of problems we
                            ities in the system.                       consider.
                                                                       9 This means, generally speaking, that the rule   must have
                                                                                                        S
                          1.1.2.1 Deterministic Systems                infinite memory in order to store all the states previously at-
                                                                       tained by the system S. Most often, based on the specifics of
                            At the lowest level of the hierarchy of sys-  the problem being solved, it can be argued that this require-
                          tems S lie the deterministic dynamical systems  ment is excessive and it is sufficient to use the state prehis-
                             7
                          DS, i.e., those that respond to the same actions  tory of finite length; in a number of cases it can be assumed
                                                                                                             S
                                                                       that all future states of the system S for t> t i , t,t i ∈ T ,are
                                                                       determined only by its state x(t i ) at the given current time
                          7 DS is the abbreviation for the Deterministic System.  instant t i ∈ T S  (and, of course, by the rule   ).
                                                                                                      S
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