The systems actuated by Pneumatic Artificial Muscles (PAMs) are characterized by high nonlinearity and time-varying of their coefficients. Therefore, nonlinear and robust controllers are required to cope with these ch...
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The fuzzy c-means (FCM) algorithm has been applied in a variety of medical image segmentation applications. The conventional FCM algorithm uses the greylevel information at a single pixel as the feature space and this...
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The fuzzy c-means (FCM) algorithm has been applied in a variety of medical image segmentation applications. The conventional FCM algorithm uses the greylevel information at a single pixel as the feature space and this contains no spatial contextual information, which makes it very sensitive to noise and intensity inhomogeneities. Recently, some modified FCM algorithms with spatial constraints have been published. However, these have individual disadvantages and are not robust enough with different types of noise. In this paper, we propose a modified FCM algorithm incorporating local spatial and intensity information based on an adaptive local window filter whose weighting coefficients differentiate the neighbouring pixels within the local window. Fast clustering is afterwards performed on the intensity histogram of the filtered image. To demonstrate the robustness and insensitivity to noise of the proposed algorithm, it is extensively tested using synthetic images corrupted by a variety of noise. The experimental results are quantitatively evaluated and compared. This algorithm is then applied to mammographic images for breast tissue density segmentation. The segmentation results indicate its effectiveness to the presence of intensity inhomogeneities in mammograms from different density categories.
This paper presents the design and simulation results of an autopilot for the US Army's APKWS missile. The concept is to add on a guidance section to the existing Hydra 70 unguided rocket airframe. The guidance se...
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This paper presents the design and simulation results of an autopilot for the US Army's APKWS missile. The concept is to add on a guidance section to the existing Hydra 70 unguided rocket airframe. The guidance section is to be mounted onto existing hardware using a deroll bearing which permits the motor to roll freely while the guidance section is roll stabilized. The Hydra 70 has unusual dynamic and aerodynamic characteristics, which include a very large intentional induced roll moment which is heavily influenced by down wash effects on the rear spin inducing fins from large aerodynamic angles and the displacement of the control canards. Moreover, angle of attack tracking with control canards makes the problem nonminimum phase. The autopilot consists of a nonlinear inverse subsection which places the missile on the nominal commanded trajectory, and a linear time varying trajectory regulating controller. The regulating controller is formulated using a new parallel differential eigenvalue stability concept. An advantage of the proposed design method is that the controller gains are computed symbolically such that a full flight envelope autopilot can be designed without resorting to pointwise gain scheduling. Simulation results are shown to demonstrate the effectiveness of the trajectory linearization control technique.
In this paper we use a 2D systems setting to develop new results on iterative learning control for linear plants, where it is well known in the subject area that a trade-off exists between speed of convergence and the...
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ISBN:
(纸本)9781424431236
In this paper we use a 2D systems setting to develop new results on iterative learning control for linear plants, where it is well known in the subject area that a trade-off exists between speed of convergence and the response along the trials. Here we give new results by designing the control scheme using a strong form of stability for repetitive processes/2D linear systems known as stability along the pass (or trial). The resulting design computations are in terms of Linear Matrix Inequalities (LMIs) and they are also experimentally validated on a gantry robot. The control laws only use plant output information and hence the use of a state observer is avoided.
An algorithm for iterative learning control is proposed based on an optimization principle used by other authors to derive gradient type algorithms. The new algorithm is a descent algorithm and has potential benefits ...
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An algorithm for iterative learning control is proposed based on an optimization principle used by other authors to derive gradient type algorithms. The new algorithm is a descent algorithm and has potential benefits which include realization in terms of Riccati feedback and feed-forward components. This realization also has the advantage of implicitly ensuring automatic step size selection and hence guaranteeing convergence without the need for empirical choice of parameters. The algorithm achieves a geometric rate of convergence for invertible plants which can be arbitrarily changed by design parameters.
Agent-based models are widely used for the simulation of systems from several domains (biology, economics, meteorology, etc). In biology agent-based models are very useful for predicting the social behaviour of system...
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Agent-based models are widely used for the simulation of systems from several domains (biology, economics, meteorology, etc). In biology agent-based models are very useful for predicting the social behaviour of systems; in particular they seem well adapted to model the behaviour of a cell population. In this paper an agent-based model, developed to study normal human keratinocytes (tissue cells), will be investigated. This kind of model exhibits probabilistic behaviour and the validation of simulation results is often done with a qualitative analysis by the experts (biologists). The main objective of this paper is to propose new variables and metrics that allow the comparison and a possible quantitative validation using numerical results from simulations.
The main processes involved in the manufacture of integrated circuits are deposition, lithography, etching, and implantation. This paper describes results on identification and real-time control of reactive ion etcher...
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The main processes involved in the manufacture of integrated circuits are deposition, lithography, etching, and implantation. This paper describes results on identification and real-time control of reactive ion etchers. Experimental results show that significant disturbances to the etch rate can be attenuated with real-time feedback control.< >
In this work, we present the modeling of the dynamics of a robot manipulator using the Newton-Euler algorithm in the conformal algebra framework. The modeling of the dynamics of robot manipulators is currently done us...
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ISBN:
(数字)9798350362343
ISBN:
(纸本)9798350362350
In this work, we present the modeling of the dynamics of a robot manipulator using the Newton-Euler algorithm in the conformal algebra framework. The modeling of the dynamics of robot manipulators is currently done using the Euler-Lagrange formulation which is a batch type of computation. In contrast, in this paper, we propose a recursive algorithm for the modeling of the dynamics of robot manipulators using the Newton-Euler algorithm in the conformal geometric algebra framework.
Vehicular fog computing has emerged as a cost-efficient solution for task processing in vehicular networks. However, how to realize effective server recruitment and reliable task offloading under information asymmetry...
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The advent of Industry 4.0 has brought out a new era of automation, highlighting the importance of seamless integration and interoperability across diverse systems in industrial environments. To facilitate efficient a...
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