Design Optimization and Design Under Uncertainty Technology  This research is focused on noise, vibration and harshness (NVH) and design under uncertainty. One outcome of this reseach is a design optimization tool that has potential application in a number of industry sectors. Although the graphical user interface is at an early stage of development, the algorithm design is sufficiently functional to solve series of complex problems. The research offers the opportunity to provide engineering services to numerous organizations on a consulting basis. |
Reliability-Based Design  This program of research is focused on design under engineering uncertainties, which deteriorate product reliability and quality. With a basic understanding of uncertainties in manufacturing and operational processes, product design is optimized by meeting its performances, by enhancing a target reliability, and simultaneously by maximizing quality. Other topics under investigation include possibility-/evidence-based design, statistical information technology (SIT), design sensitivity analysis, and biomechanics. Recent work has produced insights to both the enriched Performance Measure Approach (PMA+) and the Hybrid Analysis Method for reliability-based design optimization. |
Robotic Control and Nonlinear Systems Analysis This research program has yielded outcomes in a number of interrelated domains including development of robot kinematic, dynamic formulations and control systems by geometric and topologic methods; a new robotic model for simplification of robotic control algorithms and its real-time realization;an optimal design criterion for robotic manipulators; a redundant robot arm with seven joints and designed its controller, hardware, interface and software with applications to automation.
Related research has resulted in development of two classes of intelligent control strategies. The first is based on linguistics and automata technique with translation schemata, and rule-based systems The second is based on the applications of learning control, supervisory control schemes, neural networks, fuzzy logic and hierarchical intelligent control systems.
Finally, this research program has focused on properties and characteristics of nonlinear systems, stability and stabilization, differential geometry methods for nonlinear control systems analysis and applications. |
Soft Computing and Embedded Systems This program of research is focused on two areas. The first involves the development of soft computing techniques and their applications to computer learning and pattern recognition. Specific research topics include classification and regression trees, fuzzy systems, global optimization algorithms, and fuzzy-neural computing. The second involves the development of an interactive, subroutine-threaded programming language for embedded systems. It also includes the study of issues related to the design of embedded systems including hardware/software co-design, microcontrollers, and FPGA synthesis using VHDL. |
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