In case of control partially known complex systems, a kind of control strategy could be built simply by combining some known, partially valid control strategies. These known strategies are covering only a part of the whole state space of the possible control strategies. In some situation, these strategies could be combined in a hierarchical fuzzy way to form a strategy covering at least the sam...

In this paper we consider multigrid methods for solving saddle point problems. The choice of an appropriate smoothing strategy is a key issue in this case. Here we focus on the widely used class of collective point smoothers. These methods are constructed by a point-wise grouping of the unknowns leading to, e.g., collective Richardson, Jacobi or Gauss-Seidel relaxation methods. Their smoothing ...

A prognostic system makes it possible to anticipate loss of functionality before it occurs with sufficient lead time to take actions that mitigate the impact of this loss. We focus on the forms of mitigation within the flight vehicle that influence the operational dynamics but do not directly amend the mission plan. Thus, we focus upon the reconfiguration of the feedback control strategy for th...

As embedded microprocessors are applied widerly to multi-agent systems, control scheduling and time-delay problems arose in the case of limited energy and computational ability. It has been shown that the event-triggered actuation strategy is an effective methodology for designing distributed control of multi-agent systems with limited computational resources. In this paper, a tracking control ...

The generalized formulation for analog system design was elaborated by means of the optimum control theory formulation. This methodology generalizes the design process and generates a set of the different design strategies that serves as the structural basis to the optimal strategy construction. The principal difference between this new approach and before elaborated theory is the more represen...

We consider the so-called “optimal execution problem” in algorithmic trading, which is the problem faced by an investor who has a large number of stock shares to sell over a given time horizon and whose actions have impact on the stock price. In particular, we develop and study a price model that presents the stochastic dynamics of a geometric Brownian motion and incorporates a log-linear effec...

This paper studies the cost control strategy on cash transportation of China's banking industry under the context of the global financial crisis. It analyses the actual work law of the bank cash transportation profoundly and the impact factors at the transportation costs, and constructs the singlematerial vehicle routing optimization model with rigid time constraints. It uses the genetic algori...

In the manual control of a dynamic system, the human controller (HC) is often required to follow a visible and predictable reference path. Using the predictable aspect of a reference signal, through applying feedforward control, the HC can significantly improve performance as compared to a purely feedback control strategy. A proper definition of a signal’s predictability, however, is never give...