J. A. Hernandez

Learn More
Goal relationships resulting from the initial data and subsequent processing can he used to dynamically construct a partial topology of the solution space based on what appear to be feasible solutions. This structure can be used to make control decisions that significantly reduce the amount of search required to solve a problem in a complex domain. We(More)
This paper describes a prototype software system that implements a form of feature-based design for assembly. It is not an automated design system but instead a decision and design aid for designers interested in Concurrent Design. Feature-based design captures design intent (assembly topology, product function, manufacturing, or field use) while creating(More)
The design of an assembly system is a complex problem, often requiring large teams of engineers with significant experience and expertise. Based on studies of the product design, these teams must select an assembly sequence, generate a corresponding process plan, identify the resources capable of completing the tasks in the process plan, and group these(More)
This paper presents a discrete-time decentralized control strategy for trajectory tracking of a Mitsubishi PA10-7CE robot arm. A high order neural network is used to approximate a decentralized control law designed by the backstepping technique as applied to a block strict feedback form. The weights for each neural network are adapted online by extended(More)
Inverse Artificial neural network (iANN) is applied to optimize the parameters for hydraulic turbine runner blades. This proposed method (iANN) inverts the artificial neural network (ANN) and uses an optimization method to find the optimum parameter value (or unknown parameter) for given required conditions. In order to do so, first an ANN, which consists(More)
  • 1