Currently, the multi-legged robots have to confront the problem of low energy utilization that restricts the moving radius of robots. Aimed at the problem of energy consumption for mobile robots, this paper provides t...
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ISBN:
(纸本)9781509009107
Currently, the multi-legged robots have to confront the problem of low energy utilization that restricts the moving radius of robots. Aimed at the problem of energy consumption for mobile robots, this paper provides the analysis in terms of the gait planning. Firstly, two kinds of gait curves Respectively, cycloid curve and Bezier curve are introduced and the main difference of two gait patterns is that the Bezier curve can achieve the swing leg retraction (SLR). The length of step (S), the height of step (H) and the duty ratio of gait cycle (β) are set as the primary research points about the gait of mobile robot. In this work, we formulate two indexes to quantitatively describe the performance of the quadruped robot and related simulations are carried out for gait parameters. Finally, the results provide some recommendations for the gait planning of the quadruped robot, that is, the changes of gait parameters influence the index of energy consumption and SLR can effectively reduce energy consumption.
Alongside advancements in communication technology,Ad Hoc networks have grown considerably in *** high-relative-velocity environments,however,air nodes often have supersonic velocity but ground nodes are nearly *** th...
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ISBN:
(纸本)9781509009107
Alongside advancements in communication technology,Ad Hoc networks have grown considerably in *** high-relative-velocity environments,however,air nodes often have supersonic velocity but ground nodes are nearly *** this case,traditional protocols do not satisfy the necessary link stability though this type of node usually has clear purpose or *** this effect,node activity can be forecast to a certain *** this study,a motion model was developed to describe aircraft flying in high-relative-velocity *** also investigated methods of maximizing link lifetime and network stability by designing an improved LARl *** simulation results showed that the proposed LAR1 protocol has superior performances in terms of link lifetime,but may increase the number of hops in data transmission.
In this paper, a new 3-D trajectory tracking problem for an uncertain high fidelity six-degree-of-freedom (6-DOF) aerodynamic system is considered. Instead of designing controllers for each subsystem separately, an in...
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In this paper, a new 3-D trajectory tracking problem for an uncertain high fidelity six-degree-of-freedom (6-DOF) aerodynamic system is considered. Instead of designing controllers for each subsystem separately, an integrated trajectory tracking control algorithm is proposed to exploit beneficial relationships among interacting subsystems. The high-order aerodynamic model is first transformed into a quasi-strict-feedback form. Then, backstepping technique is utilized to resolve the coupling effect problem of three control channels resulting from the bank-to-turn (BTT) control mode. In addition, command filters are introduced to handle state and actuator constraints caused by the physical limitations and the coordinated turn requirement. Furthermore, the uncertain aerodynamic force and moment coefficients are reconstructed by using the B-spline neural network approximation and adaptive learning approaches. With Lyapunov stability analysis, all the states in the closed-loop system are shown to be semi-globally uniformly ultimately bounded (SUUB), and the tracking errors will asymptotically converge into a small compact set around zero by properly adjusting the control parameters. Finally, numerical simulations are conducted to demonstrate the effectiveness of the proposed algorithm.
In this paper,we propose an improved part-based tracking method based on compressive *** traditional compressive tracking can hardly deal with occlusion and scale variation,which is not robust enough in these *** our ...
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ISBN:
(纸本)9781509009107
In this paper,we propose an improved part-based tracking method based on compressive *** traditional compressive tracking can hardly deal with occlusion and scale variation,which is not robust enough in these *** our part-based method,the occluded image patches which are selected by K-means are not able to participate in determining the location of the target in order to increase tracking *** solve the problem of scale variation,an algorithm is proposed to estimate the size of target with the information of the whole *** addition,we also use the positions of every part to help us to get a precise size of the *** the combination of two methods,the scale of the target is *** compared with five state-of-the-arts have been done to prove the effectiveness and robustness of our method.
Disturbance widely exists in control *** disturbance rejection control(ADRC) has been proved to be an efficient way to deal with disturbance and achieves great success in *** most important part of ADRC is extended st...
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ISBN:
(纸本)9781509009107
Disturbance widely exists in control *** disturbance rejection control(ADRC) has been proved to be an efficient way to deal with disturbance and achieves great success in *** most important part of ADRC is extended state observer(ESO),which estimates the states of system and total *** regards internal disturbance and external disturbance as a total disturbance,estimates it and eliminates it in the *** faster ESO estimates total disturbance,the more quickly controller eliminates *** paper focuses on the discrete linear extended state observer(DLESO),and presents discrete predictive linear extended state observer(DPLESO).Stability and performances are *** result shows that DPLESO has better performances for disturbance rejection than DLESO.
In order to reduce the memory requirement,and obtain real-time status of equipment,the paper proposed to use the the on-line random forests(ORFs) algorithm to identify sensor *** sample set is derived from Tennessee E...
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ISBN:
(纸本)9781509009107
In order to reduce the memory requirement,and obtain real-time status of equipment,the paper proposed to use the the on-line random forests(ORFs) algorithm to identify sensor *** sample set is derived from Tennessee Eastman(TE)*** models are updated by a group of sensor data,which are collected in each *** models are real-time and dynamic,the equipment could be tested at any ***,the samples obtained at previous intervals are not need to *** results of experiments show that the accuracies of ORFs and Random Forests(RFs) are similar in sensor fault diagnosis *** in some fast changing process,ORFs distinguishes fault types with higher accuracy,better adaptable and faster than RFs.
作者:
Yuanqing XiaSchool of Automation
Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology
The concept of cloud controlsystems is discussed in this paper, which is an extension of networked controlsystems (NCSs). With the development of internet of things (IOT), the technology of NCSs has played a key rol...
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This paper addresses the stochastic stability problem of a modified extended Kalman filter(MEKF), targeted at the state estimation of the nonlinear system through wireless channel, where both transmission failure and ...
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ISBN:
(纸本)9781509009107
This paper addresses the stochastic stability problem of a modified extended Kalman filter(MEKF), targeted at the state estimation of the nonlinear system through wireless channel, where both transmission failure and channel fading are practically under consideration. For a class of nonlinear systems whose observation's Jacobi Matrix is always invertible, the sufficient conditions of the error covariance matrices are accordingly established. Moreover, the conditions for the stochastic stability of the estimation error are also derived, which is tighter than the conditions of boundedness of the error ***, a numerical example is given to demonstrate the feasibility of the proposed method.
This paper proposes an H polytopic lter design for a nonlinear system. Based on the polytopic approximation of the nonlinear system, the polytopic lter design is converted into a group of linear matrix inequalities(L...
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This paper proposes an H polytopic lter design for a nonlinear system. Based on the polytopic approximation of the nonlinear system, the polytopic lter design is converted into a group of linear matrix inequalities(LMIs) so that the polytopic lter parameters can be effectively acquired by numerical convex optimization algorithms. At this stage, the tensor product(TP) model transformation is utilized to compute the polytopic approximation of the nonlinear system. Particularly, a new recti cation procedure is further developed to obtain a specific polytopic approximation with all the vertex systems being stable, which premises the solvability of the LMIs. The method is much easier to be implemented than traditional approaches such as the Hamilton-Jacobi inequality(HJI)-based methods. Simulation demonstrates the method is much less conservative than the existing method and has good estimation performance.
This paper addresses the tuning problem of a proportional-integral-derivative(PID) controller with notch filter for flexible space structure model based on the particle swarm optimization (PSO). For flexible structure...
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