Model predictive control (MPC) is a well-known control technique, which has been applied to complex and nonlinear processes. In order to incorporate fuzzy goals and constraints in model predictive control, MPC have recently been integrated with fuzzy decision making. Conventionally, the fuzzy optimization problem in such a setting is defined as the simultaneous satisfaction of the constraints a...

In this paper, a power management strategy (PMS) has been developed for the control of energy storage in a system subjected to loads of random duration. The PMS minimises the costs associated with the energy consumption of specific systems powered by a primary energy source and equipped with energy storage, under the assumption that the statistical distribution of load durations is known. By in...

This paper investigates the implementation of two types of scheduling algorithm to obtain the best performances of the Single Cart Gantry Crane System (GCS). In this research, Deadline Monotonic Priority Assignment (DMPA) and Earliest Deadline First (EDF) scheduling algorithm are chosen to be implemented. The main ideas of this approach is to find the schedule that more compatible and provide m...

This paper investigates the stability of a teleoperation system under time-varying communication delays. The system is a laboratory platform consisting on a scale model of a gantry crane, teleoperated by means of a haptic device. This paper focuses on the problems arising from the timevarying nature of the UDP communication delay. First, the actual delay is investigated and bounds on its magnit...

cranes and gantry cranes occupy a crucial role within industry. They are used throughout the world in thousands of factories, steel mills, foundries, ship yards, warehouses, nuclear power plants, waste recycling facilities and other industrial complexes. In many manufacturing operations, operator controlled cranes account for as much as 20% of the production cycle. Material handling engineers h...

The application of model predictive control (MPC) to complex, nonlinear processes results in a non-convex optimization problem for computing the optimal control actions. This optimization problem can be addressed by discrete search techniques such as the branch-andbound method, which has been successfully applied to MPC. The discretization, however, introduces a tradeoff between the number of d...

In this paper, a sampling-based trajectory planning algorithm for laboratory-scale 3D gantry crane in an environment with static obstacles and subject to bounds on the velocity acceleration of system is presented. The focus developing fast motion differentially flat systems, where intermediate results can be stored reused further tasks, such as replanning. proposed approach based informed optim...

Purpose of this study to be conducted is to identify the risk factor of low back pain amongst port crane operator and to improve the health management program in the company. The objectives of this study are to evaluate the major group of port crane operator that having low back pain problem, to analyse the risk factors that associated to low back pain problem (WBV, Awkward prolonged sitting an...