Search

In this paper two modern controllers are presented. These controllers should eliminate disturbance effect, handle process variations and process uncertainties. First controller that is considered is conventional Proportional - Integral (PI) controller and second one is Fractional PI (FOPI) controller. After testing both controllers on a series of simulations, performance of both control algorithms were applied on a real 3D crane system. [Projects of the Serbian Ministry of Education, Science and Technological Development, Grant no. TR32018 and Grant no. TR33013]

This paper presents a new approach to architecture and urban design that results in an increase of the energy efficiency of buildings set close to each other, which is set as the optimization problem. The main goal is to maximize the sunlight impact on objects, in a way to minimize inter-object shading on each building. The problem is solved by the PSO (Particle Swarm Optimization) algorithm and its modifications, as well as the application of PSO algorithm with niches, which makes it possible to find a large number of local optima. It turned out that the PSO algorithm with niches is especially suitable for solving the described problems. The proposed methodology is illustrated by a few examples.

The present paper proposes a flexible and efficient methodology for constructing norm‐bounded optimal receding horizon control laws for a group of agents, each one of which is described as a repeated integrator of an arbitrary order and with a common input delay. The goal of each agent is to track the given target, while simultaneously avoiding other agents in the group. Polynomial expansion, together with appropriate subspace projection, is utilized in order to derive receding control law in the closed form. Properties of this control law have been investigated, and its link to a well‐known control strategy based on avoidance functions, which ensures collision avoidance in the case of first‐order integrator agents, has been derived. [ABSTRACT FROM AUTHOR]

The present paper proposes a framework for the systematic and fruitful application of complex-order operators for modeling and control applications. We emphasize that special care must be taken when using complex-order elements to ensure that their responses to real-valued stimuli are real-valued themselves. The proposed complex-order real-valued elements enable the seamless generalization of their conventional real and integer-order counterparts. We further demonstrate how any linear operator can be extended in much the same way as the differintegral, by "raising" it to a power of a complex order, while ensuring that its kernel remains real-valued. The applicability of our considerations is demonstrated by a model of a compressed natural gas injection system. [ABSTRACT FROM AUTHOR]