In this paper, the asymptotical stabilization problem for ordinary differential equations switched systems has been extended to distributed parameter switched systems(DPSS) in Hilbert space. Based on semigroup and ope...
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In this paper, the asymptotical stabilization problem for ordinary differential equations switched systems has been extended to distributed parameter switched systems(DPSS) in Hilbert space. Based on semigroup and operator theory, sufficient conditions of asymptotical stabilization for linear DPSS are derived in linear operator inequalities(LOIs)framework. Being applied to three dimensional switched heat propagation equations, we transform the LOIs into the linear matrix inequalities(LMIs), which has the advantage of being numerically well tractable by using matlab software. In particular, the state feedback gain matrices are designed. Two examples are given to illustrate the proposed results.
This paper investigates the robust second-order tracking problem of multi-agent systems without velocity measurements on detailed balanced directed communication topologies,where agents' dynamics are subject to un...
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This paper investigates the robust second-order tracking problem of multi-agent systems without velocity measurements on detailed balanced directed communication topologies,where agents' dynamics are subject to uncertain and external *** first construct the controller for multi-agent systems without uncertain and external ***,combined with the controller,one modifying uncertainty and disturbance estimator(UDE) is proposed to approximate the situation where neither the velocity measurements nor its asymptotic estimation is *** is shown that the synchronization errors are bounded and their ultimate bounds could be arbitrarily small by choosing some parameters *** results are presented to show the effectiveness of the controllers.
In order to discover forest fire as early as possible, forest fire detection should focus on the smoke in early fire. This paper focuses on three key issues: motion segmentation, feature extraction and classifier desi...
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ISBN:
(纸本)9781509040940
In order to discover forest fire as early as possible, forest fire detection should focus on the smoke in early fire. This paper focuses on three key issues: motion segmentation, feature extraction and classifier design. Background subtraction based on visual background extractor (Vibe) is chosen to divide suspected smoke area when taking into account the accuracy and time consumption. And then do some corresponding morphological processing. Later on, various static and dynamic characteristics of smoke were extracted and different tests were done based on different feature combinations in forest fire smoke detection system. Lots of smoke detecting system only think about static features which will result in a certain degree of misjudgment. Analyzing the false positive rate and recognition rate of these experiments' results, the combination of movement direction, high-frequency energy based on wavelet transformation and compactness is selected to constitute the final recognition vectors. In addition, the continuity which is not mentioned in other researches won't be ignored in this paper. The final experimental results showed that the accuracy rate of this method for smoke detection could reach 92.7%.
This paper investigates a nonlinear disturbance observer(NDOB) based sliding mode control(SMC) approach for PWM-based DC-DC boost converter systems subject to resistance load disturbances and input voltage *** designi...
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This paper investigates a nonlinear disturbance observer(NDOB) based sliding mode control(SMC) approach for PWM-based DC-DC boost converter systems subject to resistance load disturbances and input voltage *** designing a novel sliding mode manifold incorporated with a disturbance estimation technique,a NDOB-based SMC method is designed for these systems.A rigorous stability analysis is *** compared with the nominal SMC method,the proposed method obtains a better disturbance rejection ability when the resistance load and input voltage are *** comparison results are provided to verify the effectiveness of the proposed control method.
In gas gathering stations,pointer meters are usually read by workers,which takes high labor costs and has low *** solve these problems and build intelligent gas gathering stations,this paper proposes an automatic read...
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In gas gathering stations,pointer meters are usually read by workers,which takes high labor costs and has low *** solve these problems and build intelligent gas gathering stations,this paper proposes an automatic reading system for real-time and accurate pointer meter reading.A new dataset is first constructed,which consists of700 pointer meter images with different angles,illumination and *** on the dataset,the deep learning model YOLOv5 is trained for dial and pointer *** the pointer mask output by YOLOv5,image preproces sing is used to separate the pointer from the background and generate the pure *** improved skeleton extraction algorithm and the Hough line detection algorithm are combined to extract the pointer center *** the dial image output by YOLOv5,feature matching and perspective transformation are adopted for position ***,pointer reading is obtained by applying the angle method to the corrected dial and the pointer center *** experiments demonstrate the high accuracy and efficiency of the proposed *** strong robustness to various interference factors in complex environments are also validated.
This paper investigates the speed regulation control of switched reluctance motor(SRM) *** improve the antidisturbance performance of SRM,a composite non-smooth control strategy is ***,the structure of SRM is analyzed...
This paper investigates the speed regulation control of switched reluctance motor(SRM) *** improve the antidisturbance performance of SRM,a composite non-smooth control strategy is ***,the structure of SRM is analyzed,and a simplified nonlinear model is obtained based on a segmented representation of the varying phase inductance.A virtual control function is introduced to represent the nonlinear part of the torque equation,whose inverse function is cascaded to linearized the nonlinear ***,a generalized proportional integral observer(GPIO) is constructed to estimate the lumped disturbance of the system,which is used for feedforward compensation ***,a composite speed controller is designed based on a combination of finite time proportional feedback and feed-forward compensation based on GPIO(FTP+GPIO).The speed error closed-loop system can be regarded as a first-order finite time controlsystem with bounded *** analysis shows that the proposed scheme can improve the anti-disturbance performance of the closed-loop *** effectiveness of the proposed method is verified by simulation ***,it is compared with proportional feedback combining feed-forward compensation(P+GPIO) method and proportional integral(PI) control method.
In this paper,the finite-time state observer design problem for a pneumatic servo system is *** the case of without velocity sensors,a velocity observer is *** rigorous stability analysis,it is proved that the designe...
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ISBN:
(纸本)9781479970186
In this paper,the finite-time state observer design problem for a pneumatic servo system is *** the case of without velocity sensors,a velocity observer is *** rigorous stability analysis,it is proved that the designed observer is locally finite-time *** on the proposed observer,an output feedback linearization controller is proposed for position tracking control of the pneumatic servo *** simulations illustrate the effectiveness of the proposed velocity observer.
In order to overcome the drawbacks of Global Artificial Fish Swarm Algorithm（GAFSA）,such as slow convergence,low precision,difficult to give the initial step,a lot of invalid calculation and so on,a modified GAFSA（...
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ISBN:
(纸本)9781479970186
In order to overcome the drawbacks of Global Artificial Fish Swarm Algorithm（GAFSA）,such as slow convergence,low precision,difficult to give the initial step,a lot of invalid calculation and so on,a modified GAFSA（ADPSAFSA） is *** to the convergence condition,ADPSAFSA can adjust the step length and other parameters automatically to improve the performance of the *** adaptive chaos search is also used to improve the optimization *** strategy of randomly search in large scale and chaotic search in small scale is also *** the convergence turned to the optimal value,the convergence rate becomes low,thus some condition is meet,the step of GAFSA will be expanded or shrank,and the process repeats until the step down to the set *** computing results of some international standard test functions show that the accuracy and the convergence speed of this method is improved indeed.
This paper presents a smooth and time-optimal improved-Bezier trajectory planning algorithm that addresses the avoidance of solving switching points and solves the problem of discontinuous torque on the basis of the t...
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ISBN:
(数字)9789887581581
ISBN:
(纸本)9798350366907
This paper presents a smooth and time-optimal improved-Bezier trajectory planning algorithm that addresses the avoidance of solving switching points and solves the problem of discontinuous torque on the basis of the time-optimal path parameterization(TOPP) algorithm. The proposed approach employs the TOPP-RA algorithm with a friction model, to construct the optimal velocity trajectory under the constraints of the geometric paths and joint torques. Moreover, the proposed algorithm utilizes an enhanced Bezier curve instead of the jerk constraint in the trajectory optimization model to achieve a smooth trajectory. The modified Bezier curve optimizes the peaks of the pseudo-velocity curve in the phase plane to change the discontinuity of joint torque. The proposed algorithm ensures absolute time optimality and achieve a s mooth tr ajectory. The results of the MATLAB simulation experiment on a two-link motion system indicate the validity of the proposed algorithm.
In this paper,finite-time consensus problem is investigated for multi-AUV(autonomous underwater vehicle) systems. Based on homogeneous control method,finite-time consensus algorithms are proposed for both leaderless a...
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ISBN:
(纸本)9781479900305
In this paper,finite-time consensus problem is investigated for multi-AUV(autonomous underwater vehicle) systems. Based on homogeneous control method,finite-time consensus algorithms are proposed for both leaderless and leader-follower multi-AUV ***,in the leader-follower case,a novel distributed finite-time observer is developed for the followers to estimate the leader's *** demonstrate the effectiveness of the proposed control algorithms.
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