This paper presents a six-degrees-of-freedom controller for autonomous underwater vehicles. The control algorithm is adaptive in the dynamic parameters that are poorly known and time-varying in the underwater environment. Moreover, the proposed control law adopts quaternions to represent attitude errors, and thus avoids representation singularities that occur when using instead Euler angles des...

For the first time, a novel concept of merging computational intelligence (the type-2 fuzzy system) and control theory (optimal control) for regulator reference tracking in doubly fed induction generators (DFIGs) is proposed this study. The goal system torque stator reactive power. In case, controller activated to enhance performance optimum control. instance, abrupt changes signal or uncertain...

The objective of this paper is to present the methods of development and study of control law of rodless pneumatic actuator with fuzzy regulator in order to improve the accuracy of the pneumatic drive carriage positioning. The basis for improving the accuracy of positioning of the pneumatic actuator is the Intelligent Control System.

Whenever an intelligent agent learns to control an unknown environment, two opposing objectives have to be combined. On the one hand, the environment must be su ciently explored in order to identify a (sub-) optimal controller. For instance, a robot facing an unknown environment has to spend time moving around and acquiring knowledge. On the other hand, the environment must also be exploited du...

Tracking Control of Underactuated Surface Vessels Using Hybrid Control Methods Yu Tian Advisor: University of Guelph, 2016 Prof. Simon X. Yang In this thesis, two intelligent control systems are developed for tracking control of an underactuated surface vessel (USV). The studied USV is controlled with uncertain parameters, such as the disturbances from the ocean current. In the first part of th...

In this paper, we deal with hybrid modelling, optimal control and stability in cognitive radio networks. Networks that are based on cognitive radio communications are intelligent wireless communication systems. They are conscious about changes in the environment and are able to react in order to achieve an optimal utilization of the radio resources. We provide a general hybrid model of a networ...

The ability to take intelligent actions in real-world domains is a goal of great interest in the machine learning community. Unfortunately, the real-world is filled with systems that can be partially observed but cannot, as yet, be described by first principle models. Moreover, the traditional paradigm of direct interaction with the environment used in reinforcement learning is often prohibitiv...

We consider the problem of minimizing the power generation cost by exploiting the microgenerators dispersed in the power distribution network. The proposed strategy requires that the intelligent agents, located at the microgenerator buses, measure their voltage and then actuate the physical layer by adjusting the amount of injected power, according to a feedback control law derived from a proje...

The purpose of introducing a combined cycle with gas turbine in power plants is to reduce losses of energy, by effectively using exhaust gases from the gas turbine to produce additional electricity or process. The efficiency of a combined power plant with the gas turbine increases, exceeding 50%, while the efficiency of traditional steam turbine plants is approximately 35% to 40%. Up to the pre...