...Eliot Motato; Clark Radcliffe The modular model assembly method (MMAM) is an energy based model distribution and assembly algorithm that distributes and assembles model information through computer networks. Using the MMAM linear and affine physical system, models can be distributed and assembled...

...Jeffrey L. Stein; Loucas S. Louca; Huei Peng As Associate Editors of this special issue, we wish to thank the enthusiastic and unending support of the Modeling, Identification, and Intelligent System Technical Committee. We hope that you find the papers in this issue interesting, helpful...

...Tulga Ersal; Hosam K. Fathy; D. Geoff Rideout; Loucas S. Louca; Jeffrey L. Stein A dynamic system model is proper for a particular application if it achieves the accuracy required by the application with minimal complexity. Because model complexity often—but not always—correlates inversely...

... equations to be obtained, as well as formulations with the Lagrange multipliers. In the context of system modeling a varied set of mechanical oriented equations are available in a systematic way from the bond graph representation and the proposed corresponding procedures provide an algorithmic frame...

...B. J. Huang; Y. C. Chen This paper presents results of an investigation on the system dynamics and the controller design of a linear compressor for stroke and frequency adjustment. A system dynamics model was derived and identified experimentally. A control system was designed based on the system...

...Liang-Kuang Chen; A. Galip Ulsoy For active safety systems that function while the driver is still in the control loop, driver uncertainty can affect system performance significantly. In this paper, an approach to obtain both the driver model and its uncertainty from driving simulator data...

...Lucy Y. Pao; Mark A. Lau Input shaping has been shown to yield good performance in the control of flexible structures while being insensitive to modeling errors. However, previous studies do not take into account the distributions of the parameter variations. We develop a new input shaping method...

... to maximize the ability of distributing the traction forces in a desired way. This control method covers a broad range of driving condition by removing several conventional simplification on vehicle dynamics, such as the linearized lateral traction force assumption, the bicycle model assumption, and the non...

...C. James Li and; Tung-Yung Huang This paper describes an automated localized modeling method to identify continuous nonlinear dynamic systems from their operating data. Using a method similar to finite element method’s automatic mesh generation, the input space is partitioned into overlapped...

...Douglas G. Walker; Jeffrey L. Stein; A. Galip Ulsoy Model order deduction algorithms have been developed in an effort to automate the production of accurate, minimal complexity models of dynamic systems in order to aid in the design of these systems. Previous algorithms, MODA and Extended MODA...