The threat of climate change and diminishing fossil fuels demands nothing short of an energy revolution, a transformation which is already underway as renewable energy markets exhibit enormous and steady growth. This paper presents design of optimal control schemes for Wind Energy Conversion Systems (WECS) based on a time scale technique. The dynamics governing the mechanical components of a va...

The guaranteed-performance consensus tracking (GPCT) for non-linear multi-agent systems (MASs) with switching communication topologies is presented. Different from the existing work, range of one-sided Lipschitz MASs wider than ones, and upper bound performance given while achieving tracking. First, a control protocol proposed, where regulation involved. Then, by linear matrix inequality (LMI),...

In this paper, the linear quadratic regulation problem for discrete-time systems with state delays and multiplicative noise is considered. The necessary and sufficient condition for the problem admitting a unique solution is given. Under this condition, the optimal feedback control and the optimal cost are presented via a set of coupled difference equations. Our approach is based on the maximum...

In this paper, the main goal is to reduce the heave motion between a surface effect ship (SES) and a wind turbine in order to safely transfer equipment and person to SES. For this purpose, an LQR control system is designed to damp the vertical motion of the surface effect ship in critical sea states including high-frequency and high amplitude regular waves as well as high frequency irregular wa...

A number of success stories have been told where reinforcement learning has been applied to problems in continuous state spaces using neural nets or other sorts of function approximators in the adaptive critics. However, the theoretical understanding of why and when these algorithms work is inadequate. This is clearly exempliied by the lack of convergence results for a number of important situa...

2 Duality, central trajectories and We develop an interior-point technique for soiving quadratic dynamical systems programming problem in a Hilbert space.As an example we consider an application of these results to the linear-quadratic control problem with linear inequality constraints. It is shown that the Newton step in this situation is basically reduced to solving the standard linear-quadra...

This report presents a method of controlling an unmanned ground vehicel (UGV) by employing hybrid control theory. The linear dynamics of the UGV near a straight path conform to modern linear quadratic regulator theory. Two different methods for regulation of the UGV on a straight track are analyzed. The first method employs the steering angle as an input, while the second employs the derivative...

This paper presents a neuro-fuzzy control strategy with online estimation of Round Trip Time delay for nonlinear Networked Control Systems, first a fuzzy model is identified offline through inputs-states data with delay measurement, therefore, parameters for the estimation of Round Trip Time delay are obtained. The fuzzy control is designed by Linear Quadratic Regulation and a stability analysi...

An innnite-dimensional convex optimization problem with the linear-quadratic cost function and linear-quadratic constraints is considered. We generalize the interior-point techniques of Nesterov-Nemirovsky to this innnite-dimensional situation. The obtained complexity estimates are similar to nite-dimensional ones. We apply our results to the linear-quadratic control problem with quadratic cons...

This paper investigates the robust tracking and regulation control problems for discrete-time, switched piecewise linear hybrid systems affected by parameter variations. In particular, the main question addressed is related to the existence of a controller such that the closedloop system exhibits an attainable desired behavior under all possible parameter variation. Checking attainability and c...