Particular emphasis is given to theoretical and experimental investigations of sensor fusion which involve the processing of data from several sensors to yield a coherent system description and to facilitate feedback control. These results are also being extended to aid in the design and control of smart structures. Artificial neural networks are used to model nonlinear systems. Particular attention is given to guidance and control of aircraft and missiles. Other applications involve the control of flexible structures and the control of mechanical systems having friction with memory.
Most systems encountered in mechanical engineering involve components which move.
In the design process, system modeling and simulation becomes increasingly important to reduce the number of iterations necessary to produce a final design. True three dimensional animations are produced to aid in the visualization of system behavior. These simulations can incorporate control elements for the testing of various control algorithms. In addition, finite element analyses can be performed on the components at various stages of motion. Systems previously modeled and simulated have included various robotic systems, vehicle systems and small mechanisms.