Reduction of time delays in Runge-Kutta integration methods

Article Abstract:

Numerical (digital) integration in a real-time simulation is often performed using explicit Runge-Kutta methods. Real-time system simulation places high demands on computers and integration routines, if data must be sampled from input signals and incorporated into the numerical integration algorithm in order to evaluate the derivatives of the state variables. A modified fourth-order Runge-Kutta (RK4) method, which meets these requirements particularly well is proposed. As an example the routine is applied to a complex flight simulation problem. The results of the modified routine and of the RK4 standard are compared and the specific advantages of the new routine demonstrated. (Reprinted by permission of the publisher.)

Algorithms, Numerical analysis, Product introduction, Algorithm, Optimization theory, Real time systems, Simulation, Mathematics of Computing, Continuous Simulation, Real-Time System, Flight Simulator, Mathematical Programming, New Technique, Algorithm Analysis, Simulation of Computer Systems, Modeling of Computer Systems

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Ada simulation technology methods and metrics

Article Abstract:

This paper describes the impact of the Ada programming language on the development and use of simulation models. Based upon the development in Ada of a discrete-event simulation package (A*SIM), Ada is shown to provide numerous language features and methodologies that are ideally suited for modeling and simulation. Productivity and performance metrics collected during development and extensive use of A*SIM are also presented to provide quantitative comparisons of Ada-based modeling and simulation with previous approaches.

Software engineering, Systems analysis, Discrete Simulation, ADA

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