Applications of A.I. in control systems
This Paper Presents a case study of an aircraft central system that can tolerate control surface failures using Semantic control theory. In this application, the semantic control system uses system identification and the control mixer concept to exploit the analytical or control redundancy among the control surfaces and thus accommodate the failures. System identification Is performed using artificial intelligence techniques. With this approach unpredictable faults can also be accomodated, which is normally not realized using the conventional techniques.
Semantic control theory
Abstract An overview of a new methodology, involving the application of artifical intelligence techniques to the design and implementation of some decision and control systems, is given.
Mechanics of deformable directed surfaces
Abstract The paper develops a simple, yet complete and consistent non-linear dynamic thermo-elastic shell theory based on the concepts of a two-dimensional directed continuum. The constitutive equations are postulated in a general form. Stress-strain relations are derived using the equation of energy balance and the two entropy production inequalities, which are rewritten in a special form. The linear theory is discussed in detail. The structure of the stress-strain relations is presented in the most general form and then specialized to concrete examples, in particular, to the classical shell theory, using their invariance properties with respective to certain symmetry groups. The elastic moduli are determined by demanding the coincidence of the frequency dispersion surfaces obtained using the two-dimensional theory with the lowest foils of the corresponding surfaces resulting from the three-dimensional theory of elasticity.