We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
—Embedded systems normally involve a combination of hardware and software resources designed to perform dedicated tasks. Such systems have widely crept into industrial control, a...
The presented work addresses the observation problem for a large class of nonlinear systems, including systems which are nonlinear in the unmeasured states. Assuming partial state ...
— This paper proposes a novel discretetime veloc ity observer which uses neural network and sliding mode for unknown continuous time mechanical systems. The neural observer i...
This paper studies the optimization of observation channels (stochastic kernels) in partially observed stochastic control problems. In particular, existence, continuity, and convex...