It is well known that stochastic control systems can be viewed as Markov decision processes (MDPs) with continuous state spaces. In this paper, we propose to apply the policy iter...
— In this paper, we present a stable receding horizon model predictive control for discrete-time nonlinear systems. The standard MPC scheme is modified to incorporate (1) a bloc...
Jing Sun, Ilya V. Kolmanovsky, Reza Ghaemi, Shuhao...
This paper examines a problem related to the optimal risk management of banks in a stochastic dynamic setting. In particular, we minimize7 market and capital adequacy risk that in...
Abstract. An adaptive servomechanism is developed in the context of the problem of approximate or practical tracking (with prescribed asymptotic accuracy), by the system output, of...
Achim Ilchmann, Eugene P. Ryan, Christopher J. San...
— After briefly summarizing the mechanical design of the two joint prototypes for the new DLR variable compliance arm, the paper exemplifies the dynamic modelling of one of the...