Application of fractional algorithms in the control of a robotic bird

Couceiro, Micael S.; Ferreira, N. M. Fonseca; Machado, J. A. Tenreiro

doi:10.1016/j.cnsns.2009.05.020

Cited by 39 publications

(17 citation statements)

References 7 publications

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“…In the last decade, biologically inspired methods have been used as computationally efficient alternatives to analytical methods to solve optimization problems [83,84].…”

Section: Image Multilevel Thresholding: Optimization Problemmentioning

confidence: 99%

An Efficient Multi Level Thresholding Method for Image Segmentation Based on the Hybridization of Modified PSO and Otsu’s Method

Hamdaoui

Sakly

Mtibaa

2014

Studies in Computational Intelligence

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In the area of image processing, segmentation of an image into multiple regions is very important for classification and recognition steps. It has been widely used in many application fields such as medical image analysis to characterize and detect anatomical structures, robotics features extraction for mobile robot localization and detection and map procession for lines and legends finding. Many techniques have been developed in the field of image segmentation. Methods based on intelligent techniques are the most used such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), and Particle Swarm Optimization (PSO) called metaheuristics algorithms. In this paper, we describe a novel method for segmentation of images based on one of the most popular and efficient metaheuristic algorithm called Particle Swarm optimization (PSO) for determining multilevel threshold for a given image. The proposed method takes advantage of the characteristics of the particle swarm optimization and improves the objective function value to updating the velocity and the position of particles. This method is compared to the basic PSO method, also, it is compared with other known multilevel segmentation methods to demonstrate its efficiency. Experimental results show that this method can reliably segment and give threshold values than other methods considering different measures.

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“…In the last decade, biologically inspired methods have been used as computationally efficient alternatives to analytical methods to solve optimization problems [83,84].…”

Section: Image Multilevel Thresholding: Optimization Problemmentioning

confidence: 99%

An Efficient Multi Level Thresholding Method for Image Segmentation Based on the Hybridization of Modified PSO and Otsu’s Method

Hamdaoui

Sakly

Mtibaa

2014

Studies in Computational Intelligence

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“…Newly, in many research and engineering applications, fractional-order (FO) dynamical systems using fractional order derivative and integral operators have been presented. For instance, in some applications, using FO models in physical phenomenon modeling and controllers designing have been investigated [2,3].…”

Section: Introductionmentioning

confidence: 99%

“…. (3) where, h is the height of liquid level in the tank. R is the radius of spherical tank and v is the volume of the tank F in , F out are the input flow and output flow respectively.…”

Section: Introductionmentioning

confidence: 99%

The design of robust fractional order PI controller for liquid level control of a spherical tank

Yousefi

Binazadeh

Shafiei

2013

The 3rd International Conference on Control, Instrumentation, and Automation

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In this paper, robust stabilization of liquid level for a spherical tank is considered. This system is a First Order plus Time Delay (FOPTD) system, and the goal is to design a fractional order proportional integral (FOPI) controller. FOPI controller has three free parameters to achieve the desired performance. For this purpose, a stable region is obtained based on these free parameters which satisfy the desired phase and gain margins and flat phase constraints. And the proper parameters are selected based on this region. The main advantage of FOPI in comparison with traditional PID is its robustness. Computers simulations verify the robustness property and also show the effectiveness of the proposed FOPI controller.

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“…In this section we develop several experiments for comparing the performances of the FO (Fractional Order) PID algorithms [17,18].…”

Section: Controller Performancesmentioning

confidence: 99%

Modeling and Control of a Dragonfly-Like Robot

Couceiro

Ferreira

Machado

2010

Computational Intelligence for Engineering Systems

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Dragonflies demonstrate unique and superior flight performances than most of the other insect species and birds. They are equipped with two pairs of independently controlled wings granting an unmatchable flying performance and robustness. In this paper, the dynamics of a dragonfly-inspired robot is studied. The system performance is analyzed in terms of time response and robustness. The development of computational simulation based on the dynamics of the robotic dragonfly allows the test of different control algorithms. We study different movements, the dynamics, and the level of dexterity in wing motion of the dragonfly. The results are positive for the construction of flying platforms that effectively mimic the kinematics and dynamics of dragonflies and potentially exhibit superior flight performance than existing flying platforms.

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Application of fractional algorithms in the control of a robotic bird

Cited by 39 publications

References 7 publications

An Efficient Multi Level Thresholding Method for Image Segmentation Based on the Hybridization of Modified PSO and Otsu’s Method

An Efficient Multi Level Thresholding Method for Image Segmentation Based on the Hybridization of Modified PSO and Otsu’s Method

The design of robust fractional order PI controller for liquid level control of a spherical tank

Modeling and Control of a Dragonfly-Like Robot

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