A study to devise an estimate for a deterministic parameter in Distributed Sensor Networks addressing the problem of muti-sensor data fusion over noisy communication channels.
An overview on general classes of nonlinear systems based on mathematical theories and Lyapunov stability theories developed for applications to a controlled plant in a class of non-affine nonlinear implicit function and smooth with consideration to the control input.
A study on the application of a nonlinear adaptive control law for the motion control of overhead crane utilizing a Lyapunov-based stability analysis to achieve asymptotic tracking of the crane position and stabilization of payload sway angle for an overhead crane system
The study of a new adaptive control framework which applies to any nonlinearly parameterized system satisfying a general Lipschitzian property allowing the extension on the scope of adaptive control to handle very general control problems of Nonlinearly Parameters
The study of three greedy heuristics for mapping applications onto a reconfigurable device oriented for low-energy execution.
A study in the applications of direct neural control (DNC) based on back propagation neural networks (BPN) with specialized learning architecture applied to the speed control of DC servo motor.
A study in the application of an active vibration control to an aluminum beam modeled in cantilevered configuration with surface bonded piezoelectric (PZT) patches utilizing discrete piezoelectric actuators.
Insight on complex fuzzy control systems employing automatic estimation of parameters. This study includes the principles of rule base reduction methods, the sensory-fusion method, the hierarchical method, GA applications which automatically finds parameters to improve the complex fuzzy control...