This paper aims to propose an efficient control algorithm for the mobile robot path control. A supervisory fuzzy-Gaussian-neural-network (SFGNN) controller is proposed. This controller includes a fuzzy-Gaussian-neural-network (FGNN) controller and a supervisory controller. The FGNN controller is constructed in a form of neural network with a Gaussian-type fuzzy membership function; and the para...

We consider restricted sequences of forbidden-string 23], and forbidden-state 22] problems and show the limiting problem instance deened by a sequence has a solution if and only if each problem instance in the sequence has a solution. Furthermore, the supervisor that enforces the desired behavior in the limiting problem instance also enforces the desired behavior in each problem instance in the...

In today's competitive electric market, utilities are expected to provide highly reliable power supplies at the lowest possible cost. Distribution automation and remote control are recognized as ways for intelligently using appropriate technology to increase the reliability at reduced system operation cost, automated operations and service restoration can eliminate the need to send out the pers...

In this paper, an observer-based direct adaptive fuzzy-neural network (FNN) controller with supervisory mode for a certain class of high order unknown nonlinear dynamical system is presented. The direct adaptive control (DAC) has the advantage of less design effort by not using FNN to model the plant. By using an observer-based output feedback control law and adaptive law, the free parameters o...

he anticipated extensive use of flexible-manufacturing workT cells in the future has encouraged recent research efforts on the development of automatic supervisory-control methodologies. However, despite intensive research on the theoretical aspects of the control of manufacturing workcells, modeled as discrete-event systems (DES), a limited amount of research has been reported on the implement...

We consider discrete-state plants represented by a class of Controlled Petri nets (cf. 3, 4]) where every transition is individually controllable. We refer to such models as Completely Controlled Petri nets (CCPNs). For these models, a supervisory policy is an implicitly deened table that lists the transitions permitted to re for each reachable marking. A transition in a CCPN is state-enabled a...

BACKGROUND Effective talent development requires robust supervision. However, the effects of supervisory styles (coaching, mentoring and abusive supervision) on talent development and the moderating effects of clinical learning environment in the relationship between supervisory styles and talent development among public hospital trainee doctors have not been thoroughly researched. In this stud...