This paper deals with an optimal control problem for a linear discrete system subject to unknown bounded disturbances, where the goal is steer guarantees into given terminal set while minimising cost function. We define strategy which takes account state of at one future time instant and propose efficient numerical method its construction. The results experiments show improvement in performance...

Optimistic planning is an optimal control approach from artificial intelligence, which can be applied in receding horizon. It works for very general nonlinear dynamics and cost functions, and its analysis establishes a tight relationship between computation invested and near-optimality. However, there is no optimistic planning algorithm that searches for closed-loop solutions in stochastic prob...

Increasing of word demand load caused a new Distributed Generation (DG) to enter to powersystem. One of the most renewable energy is the Photovoltaic System. It is beneficial to use thissystem in both separately as well as connected to power system using power electronics interface.In this paper an optimal PID controller for Photovoltaic System systems has been developed. Theoptimization techni...

This paper considers the stability, robustness and output feedback problem for sampled-data nonlinear model predictive control (NMPC). Sampleddata NMPC here refers to the repeated application of input trajectories that are obtained from the solution of an open-loop optimal control problem at discrete sampling instants. Specifically we show that, under the assumption that the value function is c...

In this article we describe the three most common approaches for numerically solving nonlinear optimal control problems governed by ordinary differential equations. For computing approximations to optimal value functions and optimal feedback laws we present the Hamilton-JacobiBellman approach. For computing approximately optimal open loop control functions and trajectories for a single initial ...

The problem of designing an integrated control and diagnostic module is considered. The four degree of freedom controller is recast into a general framework wherein results from optimal and robust control theory can be easily implemented. For the case of an 'If2 objective, it is shown that the optimal control-diagnostic module involves constructing an optimal controller, closing the loop with t...