Huang Ke-di

Structure and content enhancement to Military Scenario Definition Language

MSDL (Military Scenario Definition Language) is an XML-based language designed to support military scenario development that provides the modeling and simulation community with a common mechanism for verifying and loading military scenarios, the ability to create a military scenario that can be shared between simulations and C4I devices and a way to improve scenario consistency between federated simulations. Nevertheless the current version of the MSDL standard does not include expression of tasks for simulated forces to perform that can be preloaded for execution or scheduling when the simulation starts. We design a framework for plans in an event hierarchy consisting of Plan, Task Who, COA, Phase, Mission and Task. C-BML(Coalition Battle Management Language) is an emerging international standard for the unambiguous expression and exchange of plans, orders, and reports across command & control systems, simulation systems, and robotic systems. Phase 1 C-BML Specification provides the ability to express plans and orders. This paper specifically addresses BML as a means to provide a tasking language for plans to implement MSDL to specify a standard mechanism for sharing Military Scenarios independent of the application generating or using scenarios. Furthermore, the task grammar is anatomized so that revised MSDL should be understood by the robust and simulation system and elaborate an example from the navy domain is elaborated.

A method of fuzzy modeling for non-linear systems

A method of fuzzy identification based on a new objective function is proposed. There are two items in the new objective function, including the goal of fuzzy clustering and the goal of identification. It is testified that the method could simultaneously make the structure of the fuzzy model optimum and estimate parameters of fuzzy model through a theorem. The method makes the fuzzy modeling simple. Simulation results demonstrate that the method could identify non-linear systems and improve identification accuracy.