200 search results - page 6 / 40 » A Nonlinear Predictive State Representation |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
CDC
2009
IEEE
13 years 8 months ago
2009
IEEE
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 ...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
—This paper investigates the application of a new kind of recurrent neural network called Echo State Networks (ESNs) for the problem of measuring the actual amount of harmonic cu...
EAAI
2007
13 years 7 months ago
2007
An integrated modeling and robust model predictive control (MPC) approach is proposed for a class of nonlinear systems with unknown steady state. First, the nonlinear system is id...
CDC
2008
IEEE
14 years 2 months ago
2008
IEEE
— In this paper an approach to reduce nonlinear non-observable and non-strongly accessible port-Hamiltonian systems to an observable and strongly accessible portHamiltonian syste...