We study the problem of proposing Condition-Based Maintenance policies for machines and equipments. Our approach combines an optimization model and input parameters estimation from empirical data. The system deterioration is described by discrete states ordered from the state “as good as new” to the state “completely failed”. At each periodic inspection, whose outcome might not be accurate, a d...

This paper deals with the problem of robust trajectory tracking control, with a guaranteed H∞ performance, for free-floating manipulator systems. A new control strategy is developed based on the robot mathematical model and a fuzzy adaptive control law. The dynamic model of the free-floating space manipulator is described through the Dynamically Equivalent Manipulator approach. The fuzzy adapti...

the main attempt of this article is extension the method so that it generallywould be able to consider the classical solution of the systems and moreover,produces the optimal trajectory and control directly at the same time. there-fore we consider a control system governed by a bone marrow cancer equation.next, by extending the underlying space, the existence of the solution is con-sidered and ...

most of authors (1-7) have used discontinious methods based on trial and error procedures for determination of optimum distribution of kh and ?h. optimal control theory has not been used for gas reservoirs. hence, in this paper optimal control theory is utilized for mathematical simulation of gas reservoir and optimum distributions of kh and ?h are presented. one of themain advantages of this n...

In this paper, convex semi-infinite programming is converted to an optimal control model of neural networks and the optimal control model is solved by iterative dynamic programming method. In final, numerical examples are provided for illustration of the purposed method.

in this paper, convex semi-infinite programming is converted to an optimal control model of neural networks and the optimal control model is solved by iterative dynamic programming method. in final, numerical examples are provided for illustration of the purposed method.

It is known that optimal stopping problems form an important class of optimal control problems having applications in stochastic calculus (maximal inequalities), statistics (sequential analysis) and mathematical finance (American options). The results about the relationship between optimal stopping problems for Markov processes and free-boundary problems for partial differential equations often...