This paper describes the design of an optimal-control-based active safety framework that performs trajectory planning, threat assessment, and semiautonomous control of passenger vehicles in hazard avoidance scenarios. The vehicle navigation problem is formulated as a constrained optimal control problem with constraints bounding a navigable region of the road surface. A model predictive controll...

For the tracking stage path planning, we design a two-axis cross-coupling control system which uses the PI controller to compensate the contour error between axes. In this paper, the stage adoptive is designed by our laboratory (Precision Machine Center of National Formosa University). The cross-coupling controller calculates the actuating signal of each axis by combining multi-axes position er...

Consultants are deemed critical to the success of an ERP implementation because of the breadth and complexity of the system, the management of multiple modules, and the one-time nature of the project that limits desire to increase investment in a permanent workforce. However, consultants often fail to effectively coordinate their activities, making integration of the ERP problematic. Coordinati...

The artificial potential method of constrained robot control is presented. The method does not imply knowledge of a detailed robot model and, nevertheless, makes it possible to drive a robot in the environment with obstacles of any shape and along a desired trajectory as well as to take into account constructive constraints. The method is based on the construction of an artificial potential tha...

With the increase in the provision of access to Wireless Local Area Networks and the abundance of user devices capable of utilising Wi-Fi, the design of the network infrastructure has introduced some significant problems. Prior to the installation of Access Points it is difficult to predict whether access can be guaranteed at specific locations. Additionally, to increase the level of security, ...

Decisions in supply chain (SC) planning and control are interconnected and depend on tackling SC uncertainty and dynamics. In this paper, we investigate the applicability of optimal control theory to SC planning and scheduling. The methodology of this paper is based on the literature analysis, fundamentals of control and systems theory, and our own elaborations. We describe the important issues...