Takagi-Sugeno (TS) fuzzy modeling and control techniques are applied to the classical nonlinear Ball and Beam problem. The nonlinear model is segmented to different local linear models. Local controllers are hence designed using LMI theory for achieving a robust control behavior for ball position. TS fuzzy modeling is applied to generate suitable fuzzy models, and the associated controllers. Us...

This paper addresses the problem of scheduling jobs in soft real-time systems, where the utility of completing each job decreases over time. We present a utility-based framework for making repeated scheduling decisions based on dynamically observed information about unscheduled jobs and system’s resources. This framework generalizes the standard scheduling problem to a resource-constrained envi...

Scheduling in computer science means determining which tasks run when there are multiple runnable tasks. Several CPU scheduling algorithms have different features, and no single one is ideal absolutely for every application. This paper presents an attempt to apply fuzzy logic in the design and implementation of a rule-based scheduling algorithm to solve the shortcoming of well-known scheduling ...

Correct scheduling of the project is the necessary condition for the project success. In traditional models, the activities duration times are deterministic and known. In real world however, accurate calculation of time for performing each activity is not possible and is always faced with uncertainty. In this paper, the duration of each activity is estimated by the experts as linguistic variabl...

In this paper we propose Scheduling which is a decision making process which deals with the allocation of resources to tasks over given time periods. Scheduling is done by scheduler and dispatcher. A scheduler is a person or machine that organizes or maintains schedules. A dispatcher is a module which gives control of CPU to the process selected by the scheduler. In this paper we propose using ...

In order to deal with imprecision inherent in the planning and scheduling of projects, various extensions of CPM (Critical Path Method) and PERT (Program Evaluation and Review Technique) have been proposed in the literature. The main aim of these studies has mainly been the application of Fuzzy Set Theory in the computation of activity start and completion dates, and consequently in the calcula...

Many scheduling algorithms have been studied to guarantee the time constraints of real-time processes. Scheduling decision of these algorithms is usually based on parameters which are assumed to be crisp. However, in many circumstances the values of these parameters are vague. The vagueness of parameters suggests that we make use of fuzzy logic to decide in what order the requests should be exe...

Grid computing is a loosely couple distributed system, and it can solve complex problem with large-scale computing and storage resources. Middleware plays important role to integrate heterogeneous computing nodes. Globus Toolkit (GT) is a popular open source middleware to build grid environment. However, a job submission has lots of complicate operations in GT especially in a large scale gird. ...

This paper addresses the Hybrid Flow Shop (HFS) scheduling problems to minimize the total work-in-process inventory. Job scheduling problems are one of the oldest and real world combinational optimization problems. It is multi objective and complex in nature. There exist some criteria that must be taken into consideration when evaluating the quality of the proposed schedule. Consideration of jo...