The task assignment problem is one of the fundamental combinatorial optimization problems. It has been extensively studied in operation research, management science, computer science and robotics. Task assignment problems arise in various applications of multi-robot systems (MRS), such as environmental monitoring, disaster response, extraterrestrial exploration, sensing data collection and coll...

We propose a decomposition algorithm for a special class of nonconvex mixed integer nonlinear programming problems which have an assignment constraint. If the assignment decisions are decoupled from the remaining constraints of the optimization problem, we propose to use a column enumeration approach. The master problem is a partitioning problem whose objective function coefficients are compute...

It has been known that a state equation of a blushless DC motor is a nonlinear one. Recently, new linear state equation and a position and velocity sensorless control system with the full-order observer based on the equation has been proposed. But the pole assignment of the observer has not been presented clearly. In this paper, we propose an adaptive sliding observer for this linear state equa...

In this paper, we investigate the quality of several linear-time schedulability tests for preemptive and non-preemptive fixed-priority scheduling of uniprocessor systems. The metric used to assess the quality of these tests is the resource augmentation bound commonly known as the processor speedup factor. The speedup factor of a schedulability test corresponds to the smallest factor by which th...

In this paper, we consider a wireless communication system where a large intelligent surface (LIS) is deployed comprising a number of small and distributed LIS-Units. Each LISUnit has a separate signal process unit (SPU) and is connected to a central process unit (CPU) that coordinates the behaviors of all the LIS-Units. With such a LIS system, we consider the user assignments both for sum-rate...

The issue of treatment assignment is ordinarily dealt with within the framework of testing Aptitude Treatment Interaction hypotheses ATI research mostly uses linear regression techniques, and an ATI exist when the AT regression lines cross each other within the relevant interval of the aptitude variable. Consistent with this approach is the use of the points of interaction of AT regression line...

In random allocation rules, typically first an optimal fractional point is calculated via solving a linear program. Lying in the feasible region of the linear program, the fractional point satisfies the underlying constraints. In effect, the point represents a fractional assignment of objects or more generally packages of objects to agents. In order to implement an expected assignment, one must...