نتایج جستجو برای: optimal intelligent control
تعداد نتایج: 1691560 فیلتر نتایج به سال:
In this paper an intelligent hybrid coordinatedcontrol system for a fossil-fuel power unit is presented. First, the intelligent system-based approach is justified arguing that conventional and modern approaches, used alone, do not provide an adequate framework to satisfy current operation objectives. Second, several hybrid control schemes that incorporate intelligent techniques are reviewed. Th...
this paper deals with optimal operation of a three-product dividing-wall column (dwc). the main idea is to design a control structure, through a systematic procedure for plantwide control, with an objective to achieve desired product purities with the minimum use of energy. exact local method is used to find the best controlled variables as single measurement or combination of measurements base...
This paper captures the essence of intelligent path planning by posing the problem in a framework based on optimal control theory. Design requirements for autonomous vehicles call for on-board intelligence capable of making timely decisions, performing tasks in a “smarter” fashion, and ultimately accomplishing missions with extreme accuracy. This is the definition of an optimal control problem!...
In Intelligent Transportation Systems (ITS), controlling the traffic flow of a region in city is major challenge. Particularly, allocation traffic-free route to taxi drivers during peak hours one challenges control flow. So, this paper, between driver and pickup location or hotspot with spatial-temporal dependencies optimized. Initially, hotspots are clustered using density-based spatial cluste...
The posture stability and driving control of a humanriding-type unicycle have been realized. The robot unicycle is considered as a biomechanical system using an internal world representation with a description of emotion, instinct and intuition mechanisms. We introduced intelligent control methods based on soft computing and confirmed that such an intelligent control and biological instinct as ...
In this paper, solving optimal power flow problem has been investigated by using hybrid particle swarm optimization and Nelder Mead Algorithms. The goal of combining Nelder-Mead (NM) simplex method and particle swarm optimization (PSO) is to integrate their advantages and avoid their disadvantages. NM simplex method is a very efficient local search procedure but its convergence is extremely sen...
This paper describes how multi-agent system technology can be used as the underpinning platform for voltage control in power systems. In this study, some FACTS (flexible AC transmission systems) devices are properly designed to coordinate their decisions and actions in order to provide a coordinated secondary voltage control mechanism based on multi-agent theory. Each device here is modeled as ...
Humans and animals readily utilize active sensing, or the use of self-motion, to focus sensory and cognitive resources on the behaviorally most relevant stimuli and events in the environment. Understanding the computational basis of natural active sensing is important both for advancing brain sciences and for developing more powerful artificial systems. Recently, we proposed a goal-directed, co...
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