In this paper, a distributed event-triggered control strategy is proposed such that consensus of multi-agent systems is achieved subject to input saturation in an output feedback setting. Instead of triggering the con...
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ISBN:
(纸本)9781467374439
In this paper, a distributed event-triggered control strategy is proposed such that consensus of multi-agent systems is achieved subject to input saturation in an output feedback setting. Instead of triggering the controller periodically, the proposed controller is not activated until the response of the system exceeds some pre-defined event-triggered limitation. The case of the output feedback is considered and the allowed saturation approach is introduced to deal with the nonlinearity caused by the input saturation. In the proposed scheme, since no hard constraint is imposed to the control input, we can make full use of the available actuator capacity. In addition, results on the minimization of the frequency of the event-triggered actions are provided.
A multiple activated anti-windup compensated algorithm for Active Disturbance Rejection control(ADRC) mechanism is proposed in this paper. This paradigm extends the multi-activated anti-windup scheme to the active dis...
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ISBN:
(纸本)9781467374439
A multiple activated anti-windup compensated algorithm for Active Disturbance Rejection control(ADRC) mechanism is proposed in this paper. This paradigm extends the multi-activated anti-windup scheme to the active disturbance rejection mechanism, to deal with the input saturation nonlinearity and meanwhile reject the disturbance automatically by using Extended State Observer(ESO). The output of anti-windup compensator is treated as a part of unknown disturbances and is introduced into the ESO, which can online observe both internal and external disturbances(parameter uncertainties and model mismatches). The controller input is yielded by using a nonlinear feedback combination, and it is used to compensate the integrator windup caused by the saturation nonlinearity element. On the other hand, in order to determine the parameters of the ESO and the anti-windup compensator feedback gain, the L2 gain design method is considered. The effectiveness and the robustness against model and parameter uncertainties of the proposed method is verified by an example of the seeker platform.
This paper presents a use of multi-core DSP TMS320C6678 for the squinted-looking synthetic aperture radars (SARs) real-time signal processing method. This paper first briefly introduces the squinted-looking SAR algori...
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ISBN:
(纸本)9781510822023
This paper presents a use of multi-core DSP TMS320C6678 for the squinted-looking synthetic aperture radars (SARs) real-time signal processing method. This paper first briefly introduces the squinted-looking SAR algorithm and analyzes the signal processing by use of spectral analysis (SPECAN). Then, according to the requirement of squinted-looking SAR real-time imaging system, the high performance TI multi-core DSP TMS320C6678 is used for realizing the imaging algorithm through the virtual single-node technology for data transmission and interaction and the parallel approach to data processing. Finally, the flight experiment is carried out and the results show that the virtual processing method meets the requirements of the real-time imaging based on the multi-core DSP hardware platform effectively.
The increasing demands on the indoor location service inspire the wide attentions to investigate the indoor position algorithms. Access point (AP) selection is critical important for increasing the estimation accuracy...
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In this paper,a novel randomized step frequency radar with weighted PSO is proposed to recover the range and velocity joint estimating by exploiting sparseness of the targets and invoking compressed sensing(CS) *** th...
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ISBN:
(纸本)9781479970186
In this paper,a novel randomized step frequency radar with weighted PSO is proposed to recover the range and velocity joint estimating by exploiting sparseness of the targets and invoking compressed sensing(CS) *** this algorithm,we abandons the exhaustive list method in the Orthogonal Matching Pursuit(OMP) scheme,which is easy to cause performance degradation in the radar ***,a weighted PSO dynamic optimal method is adopted,where the convergence speed is increased due to the weighted factor introduced in the Particle Swarm Optimization(PSO).The primary advantage of this method lies in being less sensitive to the initial value of target parameters in the case of online optimization ***,this method overcomes the limitation that the initial parameters must be selected close to the true value of the target,which is not constant in many *** is not necessary to know exactly the target parameters when using our approach,instead,coarse coding bounds of target parameters are enough for the algorithm,which can be done once and for all off-line,and it is only necessary to specify the initial scopes of the velocity and the range of the *** results demonstrate that the proposed weighted PSO approach provides a faster convergence speed and robustness against unpredictable perturbations for range and velocity joint estimating in randomized step frequency radar.
Non-destructive testing (NDT) techniques have been employed in all kinds of fields successfully for many years. Newly developed and applied NDT methods of detecting and monitoring fatigue crack in metal material are r...
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Mobile intelligent devices are popular nowadays. As one type of embedded systems, such devices have strict response requirements. When the users click on the screen, the display should give the response as soon as pos...
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Mobile intelligent devices are popular nowadays. As one type of embedded systems, such devices have strict response requirements. When the users click on the screen, the display should give the response as soon as possible. The on-chip programmable memory can be used to optimize the process. The main on-chip programmable memory is on-chip SRAM, which is called scratchpad memory. In this paper, a novel approach is proposed to speed the display for mobile intelligent devices based on scratchpad memory. The programs are analyzed and the most used parts are selected and assigned to on-chip programmable memory. Such memory has faster access speed and lower power consumption compared with the traditional off-chip memory and cache. The experimental results show that this approach has reduced the response time and improved the performance of the system.
In the twenty-first century, the life science has been studied from the genome research into the structure and function of the structure, which can further reveal the mystery of life. In this paper, it takes the relat...
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In the twenty-first century, the life science has been studied from the genome research into the structure and function of the structure, which can further reveal the mystery of life. In this paper, it takes the relationship between protein structure and its function as the breakthrough point, with the aid of introducing the protein molecular structure database, analyzing the application of intelligent computing method in the prediction of protein structure. Moreover, by setting up the 3D model of protein molecules, so as to realize the detection of protein 3D features.
Handwritten digit recognition is an important research topic in computer vision and pattern recognition. This paper proposes an effective handwritten digit recognition approach based on specific multi-feature extracti...
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ISBN:
(纸本)9781467376839
Handwritten digit recognition is an important research topic in computer vision and pattern recognition. This paper proposes an effective handwritten digit recognition approach based on specific multi-feature extraction and deep analysis. First, we normalize images of various sizes and stroke thickness in preprocessing to eliminate negative information and keep relevant features. Secondly, considering that handwritten digit image recognition is different from traditional image semantics recognition, we propose specific feature definitions, including structure features, distribution features and projection features. Moreover, we fuse multiple features into the deep neural networks for semantics recognition. Experiments results on benchmark database of MNIST handwritten digit images show that the performance of our algorithm is remarkable and demonstrate its superiority over several existing algorithms.
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