Agent-based architecture for designing hybrid control systems

Fuzzy functions with support vector machines

“…When the consequent is represented with a linear equation, the FRB structure is called the [25] EA -Hybrid FM and granularity Evolutionary fuzzy algorithms, hybrid fuzzy models, e.g., [8,9,13,14,20] FFs…”

“…The fuzzy decision rules are implemented as membership functions and the model learns the best fitting parameters of membership functions. Recently, the research on combining various soft computing methods, optimization algorithms and statistics to build hybrid structures [8,9,26], has shown promising improvements in the performance of FSM models, especially with FRB structures. On the other hand, the granular modeling [20,27], is a human-centric approach to intelligent data-mining, which has been emerging vastly in recent years.…”

“…The T-FR methods [25], represent the fuzzy regression approaches proposed by Tanaka et al [25], where the regression coefficients of input variables are fuzzy numbers. The evolutionary FSM [8] and hybrid FSM [9] and granular modeling [20,31], are new addition to FSM models in the last decades. Hybrid models are also used to combine various machine learning, statistics, and optimization methods together with fuzzy system models to improve the system performance.…”

A novel approach for multi-agent-based Intelligent Manufacturing System

“…Kim [16] presented a cooperation mechanism between process planning and production control involving part and machine agents. Lim and Zhang [19,9] developed an agent-based framework that utilized contract net protocols to enhance the negotiation mechanism of agents so as to integrate process planning and scheduling. Baker [2] surveyed the dispatching, scheduling, and pull algorithm of factory control from the viewpoint of their implementation in an MAS.…”

A rule-based intelligent energy management system for an internal combustion engine vehicle

“…[7] proposed an intelligent energy management agent for vehicles. [8] designed an agent-based architecture to control vehicles. [9] described a regenerative braking algorithm based on optimisation techniques.…”