The problem of optimal control for nonlinear systems is considered. Genetic programming is used to obtain functional dependence of control vector from problem space vector. Network operator is proposed as one of possible solutions for effective calculations. The problem of structure-parametric synthesis of satellite angular movement stabilization system is described. Copyright © 2008 IFAC

From the system recoverable point of view, this paper discusses robust reconfigurable control synthesis for LTI systems and a class of nonlinear control systems with parametric and additive faults as well as derivations generated by FDI algorithms. By following the model-matching strategy, an augmented optimal control problem is constructed based on the considered faulty and fictitious nominal ...

We propose an optimal control framework for persistent monitoring problems where the objective is to control the movement of mobile nodes to minimize an uncertainty metric in a given mission space. For multi agent in a one-dimensional mission space, we show that the optimal solution is obtained in terms of a sequence of switching locations and waiting time on these switching points, thus reduci...

There has been much progress in the development of a model of motor control in the brain in the last decade; from the improved method for mathematically extracting the predicted movement direction from a population of neurons to the application of optimal control theory to motor control models, much work has been done to further our understanding of this area. In this paper recent literature is...

The paper provides a systematic way for finding a partial differential equation that directly characterizes the optimal control, in the framework of one–dimensional stochastic control problems of Mayer type, with no constraints on the controls. The results obtained are applied to continuous–time portfolio problems.

In this paper model predictive control problems are reformulated as multi-parametric programs. The optimal value of control variables is obtained as an explicit function of the state variables. This reduces on-line optimization to simple function evaluations that need simple computational hardware.

The paper describes the analysis, design and control of two new versions of spherical permanent magnet motor, which are capable of two and three degrees-of-freedom of controlled motion, and have a high specific torque capability. Their magnetic field distribution is established using an analytical technique formulated in spherical coordinates. This enables the torque vector and back-emf to be d...

Market segmentation has emerged as the primary means by which firms achieve optimal production policy. In this paper, we use market segmentation approach in multi-product inventory system with inventory-level-dependent demand. The objective is to make use of optimal control theory to solve the inventory-production problem and develop an optimal production policy that minimizes the total cost as...

We analyze the problem of controlling parameter-dependent systems. We introduce the notion of averaged control according to which the quantity of interest is the average of the states with respect to the parameter. First we consider the problem of controllability for linear finite-dimensional systems and show that a necessary and sufficient condition for averaged controllability is an averaged ...