An adaptive fuzzy PID controller with gain scheduling is proposed in this paper. The structure of the proposed gain scheduled fuzzy PID (GS FPID) controller consists of both fuzzy PI-like controller and fuzzy PD-like controller. Both of fuzzy PIlike and PD-like controllers are weighted through adaptive gain scheduling, which are also determined by fuzzy logic inference. A modified genetic algor...

This paper presents an analysis of DSR protocol and packet scheduling algorithm to find those that most improve performance in congested network and proposes our algorithm to improve the performance of DSR protocol by using fuzzy logic in mobile ad hoc networks. Packet schedulers in wireless ad hoc networks serve data packets in FIFO order. Because, a scheduling algorithm to schedule the packet...

This paper considers a fuzzy programming approach for a multi-objective single machine scheduling problem when processing times of jobs are normal random variables. The probabilistic problem is converted into an equivalent deterministic programming problem. Then the fuzzy programming technique has been applied to obtain a compromise solution. A numerical example demonstrates the feasibility of ...

An adaptive fuzzy PID controller with gain scheduling is proposed in this paper. The structure of the proposed gain scheduled fuzzy PID (GS_FPID) controller consists of both fuzzy PI-like controller and fuzzy PD-like controller. Both of fuzzy PI-like and PD-like controllers are weighted through adaptive gain scheduling, which are also determined by fuzzy logic inference. A modified genetic algo...

Due to the complexity of scheduling flexible manufacturing systems, the generation of production schedules requires an intelligent technique. Many artificial intelligence techniques such as fuzzy logic, genetic algorithms and neural networks have been successfully applied to the scheduling of advanced manufacturing systems. One such system is Robotic Flexible Assembly Cells (RFACs). Few studies...

This paper presents a fuzzy approach to capacitated flow shop scheduling problem. Fuzzy sets are applied to express the flexible constraints on capacity of each period in the scheduling horizon. Fuzzy sets are also used to model the processing times of jobs and the setup times of machines required when a new job starts processing. Demand is set for each period. Over production incurs the holdin...

In a soft real-time system, the deadline missing ratio is an important metric to evaluate system performance. In addition, considering the unsteadiness and unpredictability of a practical task running environment due to the unsteadiness of network communication and the estimation deviation, it is necessary to introduce fuzzy concept and theory to the scheduling and performance control of the so...

In the last decade job shop scheduling problems have been subject to intensive research due to their multiple applications. Job shop scheduling is known as a strongly NPcomplete problem. In the job shop scheduling problems, processing times and due dates are very dynamically due to both human and machine resource factors. Fuzzy sets are used to model the uncertain processing times and due dates...

AbstructThis paper presents a gain scheduling based approach to the design of fuzzy controllers. We demonstrate that the Sugeno fuzzy controller is in fact a special case of gain scheduling where the feedback gains are adjusted (“scheduled”) via membership functions in fuzzy if-then rules. When the desired gains at various operating points are available, we can apply the ANFIS learning algorith...

An Evolutionary Algorithm (EA) strategy for the optimization of generic Work-In-Process (WIP) scheduling fuzzy controllers is presented. The EA is used to tune a set of fuzzy control modules which are used for distributed and supervisory WIP scheduling. The distributed controllers objective is to control the rate in each production stage so that satisfies the demand for final products while red...