Fuzzy reference gain-scheduling approach as intelligent agents: FRGS agent

Abstract

Goal driven Intelligent Agents and Fuzzy Reference Gain-Scheduling (FRGS) approach are described in this paper as interchangeable concepts that are able to deal with dynamic complex problems. It is advocated that the FRGS approach may be viewed as an autonomous goal-based agent, that is, a fuzzy logic based agent able to autonomously adapt itself to environmental changes introduced by external inputs. The concept of fuzzy systems and intelligent agent are employed in decision-making problems to lead to a certain degree of autonomy in decision support system. Although the FRGS method was originally proposed for control application, this approach was extended to decision-making tasks due to its ability of emulating human reasoning. This new agent approach uses the external input information also denominated reference (goal) as the driven mechanism to determine the behavior of the system in order to achieve the desired objectives (goal). Thus, the FRGS approach can be modeled in the framework of an adaptive and goal (also context or environment) driven agent.

Fuzzy goal-driven intelligent control for satellite environmental qualification

“…Since  is related to the reference, decomposing the expressions (7), (9), and (11) may assume the general form:…”

“…Nevertheless, the FRGS is not limited to this application. It may be applied to control industrial systems or to model dynamics of systems and may be used in decision-making tasks [8] as well as in intelligent agents [9]. The proposed control system combines fuzzy and gainscheduling methodologies in a distinct manner from what is usually known as fuzzy gain-scheduling control.…”

Fuzzy Decision in Airplane Speed Control

“…The inference mechanism is the Mamdani direct method that was chosen due the facility to mimic an operator and, thus, to be implemented for an intelligent agent [2]. In doing so, T-norm and T-conorm are chosen to be min and max, respectively.…”

Hybrid Visual-Driven Decision Support System in Video Monitor Manufacturing

“…Since this additional information influences the decisionmaking process making the operator to adapt its decision according to the new goals, consequently it should be incorporated into the decision support system. An alternative to deal with this problem is the fuzzy reference gain-scheduling (FRGS) agent that is able to mimic the paradigms and mechanisms related to adaptive human decisions (Araujo et al, 2004). This approach adapts the membership functions of the fuzzy decision support system in order to accommodate small changes introduced by external input information and, thus, permits adaptive behavior according to goals, intentions, desires, or beliefs.…”