Basic theoretical results for expert systems. Application to the supervision of adaptation transients in planar robots

摘要

The objective of expert systems is the use of Artificial Inteolligence tools so as to solve problems within specific prefixed applications. In the last two decades a great experimental effort together with some theoretical knowledge have been empolyed to investiage the completeness and consistncy of knowledge-based systmes and to clarify the structure of these systems. Nevertheless, there is often a gap in the formalism which allows the strucuring of the expert system programming towards the expert system design. In the last years, a new field called Ontological Engineering, defined by the IEEE as "the field that establishes a set of concepts, axioms, and relationships that describe a domain of scientific or technological interest" is trying to fill this gap. The work presented here may be placed in this context. In particular, the paper deals with the development of an expert system valid to optimize the adaptation transients arising in adaptive control using a logic formalism previously described, providing good simulation results. Its structure is composed by a supervisor based on an expert network organization and designed to improve the transient performances in the adaptive control of a planar robot. Apart form the basic adaptation scheme consisting of an estimation algorithm puls an adaptive controller, two additional coordinated expert systems are used to update an adaptation gain and the sampling period with a master expert system coordinating both avove expert systems.