Now showing items 1-10 of 248
A model for assembly sequence planning in a multirobot environment
This paper presents a model for the selection of optimal assembly sequences for a product in multirobot systems. The objective of the plan is the minimization of the total assembly time (makespan). To meet this objective, ...
Multi-Vehicle System Localization by Distributed Moving Horizon Estimation over a Sensor Network with Sporadic Measurements
This paper proposes a Distributed Moving Horizon Estimator (DMHE) for the Multi-Vehicle system localization problem using Sensor Networks with sporadic measurements. Due to its capability to efficiently exploit environmental ...
Adaptive control of a solar furnace for material testing
This paper presents an adaptive control system for controlling the temperature of a solar furnace, which is a high solar concentrating facility made up of heliostats tracking the sun and reflecting solar radiation onto a ...
Application of a Natural Language Interface to the Teleoperation of a Mobile Robot
This paper describes the application of a natural language interface to the teleoperation of a mobile robot. Natural language communication with robots is a major goal, since it allows for non expert people to communicate ...
Min-max Model Predictive Control of Nonlinear Systems: A Unifying Overview on Stability
Min-max model predictive control (MPC) is one of the few techniques suitable for robust stabilization of uncertain nonlinear systems subject to constraints. Stability issues as well as robustness have been recently studied ...
Hybrid algorithm for scheduling and risk assessment of projects
This work presents a technique for optimal scheduling of projects in terms of time and cost, taking into account risk assessment. Tasks are characterized by p-timed Petri nets, where places have assigned an execution time. ...
Power Optimization of Multi-fluid Transportation Systems
This paper presents an algorithm for optimizing the energy operating costs in multi-fluid transportation systems. The algorithm works in two steps. The first one consists of the computation of a function that measures the ...
A stochastic predictive control approach to project risk management
This work shows a control policy based on MPC and applied to project risk management. MPC has been applied due the properties that presents such as the easy constraint treatment or the extension to multivariable case. The ...
Control Predictivo Mín-Máx de una planta piloto
(Universidad Politécnica de Valencia, 2008)
Este trabajo muestra la aplicación de una estrategia de control predictivo mín máx basado en modelos (Min-Max Model Predictive Control, MMMPC) a una planta piloto en la que se controla la temperatura de un reactor. Para ...
Coordinated motion planning of manipulators by evolution strategies
(WIT Press, 1995)
A method for obtaining coordinated motion plans of manipulator robots is presented. This planning can be easily implemented by programs written in any industrial robot programming language, such as VAL II. The generated ...