Ian R. Petersen

TL;DR: In this paper, the authors considered the problem of minimizing the supply required to drive the system between given state distributions over a specified time horizon, where the uncertainty is quantified by the conditional relative entropy of the actual probability law of the noise with respect to a nominal product measure corresponding to a white noise sequence.

TL;DR: In this paper, a sufficient and necessary condition for a nonlinear quantum stochastic differential equation to be physically realizable is derived. But this condition is not applicable to all nonlinear QSDEs.

TL;DR: A spiral scanning method using an atomic force microscope (AFM) with an internal model of the reference sinusoidal signal is introduced with the plant model and an integrator with the system error is introduced.

TL;DR: In this paper, a robust minimax filtering problem for time-varying discrete-time stochastic uncertain systems is studied and the optimal minimax filter has been found by applying techniques of risk-sensitive linear-quadratic exponential Gaussian (LEQG) control.

TL;DR: In this article, the authors considered the use of robust H ∞ tracking control in a nano-positioning system using a high-performance monolithic multilayer piezoelectric stack actuator connected in series with an external capacitor, which is used to provide a measured voltage proportional to the charge on the actuator.