Abstract: The convergence of learning control is traditionally analyzed in the time domain. This is because a finite planning horizon is often assumed and the analysis in time domain can be extended ...

Abstract: Consider a nonlinear control system, whose structure is not known (apart from the order of the system) and whose states are not observed. We observe the output of the system for a period ...

Abstract: Conventionally, iterative learning control law is updated using past error information. As a result, the controller is effectively open-loop, apart from being unable to control unstable systems, ...

Abstract: Recently, the writers and others considered the optimization of continuously linear segmented structures. This geometrical constraint has practical advantages in actual design problems from the viewpoints of fabrication ...