Chaotic neural networks have been proved to be powerful tools to solve function and combinatorial optimization problems. Several chaotic neural units were studied and their activation functions are obviously different...
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The traditional adaptive controller based on certainty equivalence (CE) assumption and cautious controller can not provide good control quality for systems with unknown and time-varying parameters. The dual control al...
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The traditional adaptive controller based on certainty equivalence (CE) assumption and cautious controller can not provide good control quality for systems with unknown and time-varying parameters. The dual control algorithm with direct adaptive pole placement is presented. An experimental plant is built up for the roll angle control of a pilot-plant by means of two propellers. The dual control has provided improved control quality in comparison with traditional adaptive control based on the CE assumption and the cautious control. The relative parameters is adjust with off line simulation. The basical analysis and debugging of hardware-in-the-loop simulation is discussed
In order to eliminate displacement and elastic deformation between images of adjacent frames in course of 3D ultrasonic image reconstruction, elastic registration based on morphology skeleton was adopted in this paper...
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In order to eliminate displacement and elastic deformation between images of adjacent frames in course of 3D ultrasonic image reconstruction, elastic registration based on morphology skeleton was adopted in this paper. Feature points of connected skeleton are extracted automatically by accounting topical curvature extreme points several times. Initial registration is processed according to barycenter of skeleton. Whereafter, elastic registration based on radial basis function are processed according to feature points of skeleton. Result of example demonstrate that according to traditional rigid registration, elastic registration based on skeleton feature retain natural difference in shape for organ's different part, and eliminate slight elastic deformation between frames caused by image obtained process simultaneously. This algorithm has a high practical value for image registration in course of 3D ultrasound image reconstruction
Fault diagnosis (FD) has recently received considerable attention in industry and academia. In order to make a more accurate and more complete estimation and decision for the problem, an approach that is capable of ov...
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Fault diagnosis (FD) has recently received considerable attention in industry and academia. In order to make a more accurate and more complete estimation and decision for the problem, an approach that is capable of overcoming the disadvantage of single FD methodology, and eliminating the system uncertainty is presented. This paper takes flat wheel detecting system as an example. First, the proposed method diagnoses the example system with model based parameter estimation and frequency spectrum analysis respectively according to groups of data, and the estimated parameters and power spectrum are taken as the index to make decision. Then, it makes final decision according to data fusion and statistic reasoning methods. The results show that the methodology is capable of making the right diagnosis according to experimental data
A global optimization technique for image registration using the concept of nonlinear correlation information entropy (NCIE) as the matching criterion is presented. The method makes it possible to efficiently overcome...
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A global optimization technique for image registration using the concept of nonlinear correlation information entropy (NCIE) as the matching criterion is presented. The method makes it possible to efficiently overcome the local minima problem utilizing the extremum property of NCIE. Furthermore, the improved downhill simplex algorithm incorporated variant accuracy tolerance can reduce the evaluation times greatly as well as obtain an accurate and optimal transformation. Applying to register the magnetic resonance images of brain, the global optimization technique shows the validity and robustness in global searching range
In this paper, a model predictive control is proposed for the hybrid systems with constrained control input based on piecewise affine (PWA) model. The constrained control input of the considered systems is solved in t...
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In this paper, a fast lossless compression scheme is presented for the medical image . This scheme consists of two stages. In the first stage, a differential pulse code modulation (DPCM) is used to decorrelate the raw...
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In this paper, a fast lossless compression scheme is presented for the medical image . This scheme consists of two stages. In the first stage, a differential pulse code modulation (DPCM) is used to decorrelate the raw image data, therefore increasing the compressibility of the medical image. In the second stage, an effective scheme based on the Huffman coding method is developed to encode the residual image. This newly proposed scheme could reduce the cost for the Huffman coding table while achieving high compression ratio. With this algorithm, a compression ratio higher than that of the lossless JPEG method for image can be obtained. At the same time, this method is quicker than the lossless JPEG2000. In other words, the newly proposed algorithm provides a good means for lossless medical image compression
Color flow imaging plays a major role in the diagnosis of many vascular diseases, especially cardiovascular disease. The imaging quality is highly influenced by the clutter originating from the vascular wall, stationa...
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Color flow imaging plays a major role in the diagnosis of many vascular diseases, especially cardiovascular disease. The imaging quality is highly influenced by the clutter originating from the vascular wall, stationary and slowly moving tissues and relative motion between the probe held by doctor and the blood flow. The clutter rejection filter in front of the mean frequency estimator will restrict the mean frequency estimation range because the power of the signal component induced by slowly moving blood is suppressed as well. Therefore, a novel scheme, using parameter estimation methods based on the two-dimensional correlation function model (2DCM) and the conventional down mixing, is proposed to clutter rejection. With the parameter estimation methods based on the 2DCM, both the center frequency and the mean Doppler frequency are estimated. The two dimensional information in range gate has been also sufficiently used. Simulation results have shown that this adaptive scheme has achieved superior performance in wideband blood flow velocity estimation
For nonlinear systems without hardware redundancy, a fault tolerant control design based on MPC (model predictive control) against actuator failures is presented. The nonlinear system is decoupled by a static state fe...
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For nonlinear systems without hardware redundancy, a fault tolerant control design based on MPC (model predictive control) against actuator failures is presented. The nonlinear system is decoupled by a static state feedback. Then MPC algorithm is designed for the decoupled system. In case of actuator failures, the reference inputs are recomputed by using MPC algorithm, to maintain the system at some acceptable level of performances. The approach is used to three-tank plant, the results shows that this control strategy is effective
Time-frequency distribution series (TFDS) is introduced to represent ultrasonic signals, detect and locate defects, because TFDS can effectively decrease the cross-terms with a minimum degradation of the desired prope...
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Time-frequency distribution series (TFDS) is introduced to represent ultrasonic signals, detect and locate defects, because TFDS can effectively decrease the cross-terms with a minimum degradation of the desired properties. Moreover, considering the time-frequency concentration of the time-frequency energy atoms, the improved TFDS reduces the computational complexity, which makes TFDS more practical. Both simulated and experimental ultrasonic signals are represented by TFDS and Wigner-Ville distribution (WVD) and their performance are compared in terms of cross-terms, resolution and the ability to character defects. Results show that TFDS has the advantages of characterizing and localizing defects in ultrasonic nondestructive evaluation
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