This paper extends the time-delay approach to discrete-time networked controlsystems with multiple sensor nodes that are subject to time-varying transmission intervals,time-varying transmission delays and communicati...
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ISBN:
(纸本)9781509009107
This paper extends the time-delay approach to discrete-time networked controlsystems with multiple sensor nodes that are subject to time-varying transmission intervals,time-varying transmission delays and communication *** system sensor nodes are supposed to be distributed over a *** scheduling of sensor communication is ruled by an independent and identically-distributed stochastic *** activation probability of each sensor node is a given constant,whereas it is assumed that collisions occur with a certain *** closed-loop system is modelled as a discrete-time stochastic hybrid system with time-varying delays in the dynamics and in the reset *** Lyapunov method a new condition is derived for the exponential mean-square stability of the delayed hybrid systems with respect to the full state and not only to the partial *** communication delays are allowed to be greater than the sampling *** efficiency of the proposed method is illustrated on the example of cart-pendulum.
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.
When joint failure occurs in a redundant manipulator,it is required that the end-effector(EEF) continues the trajectory with a minimum velocity *** problem has been studied by the joint velocity redistribution method ...
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ISBN:
(纸本)9781509009107
When joint failure occurs in a redundant manipulator,it is required that the end-effector(EEF) continues the trajectory with a minimum velocity *** problem has been studied by the joint velocity redistribution method which means mapping the velocity of the faulty joint into healthy joints'.This method can tolerant joint fault successfully but may make joints out of their *** the gradient projection method(GPM) is adopted to avoid the redistributed joint limits in this *** regard to the selection of the scalar coefficient of GPM,an improved method called the coefficient matrix is *** only can this method avoid joint limits successfully but also reduce the unnecessary self-motion and control the self-motion of each joint *** last the coefficient matrix method is tested in a seven-degree-of-freedom(7-DOF) manipulator and the simulation results indicate the efficiency of this method.
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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A mount of recent researches on scene parsing and semantic labeling, while few focus on obtaining joint semantic motion labeling. In this paper, we propose an approach to infer both the object class and motion status ...
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ISBN:
(纸本)9781509024100
A mount of recent researches on scene parsing and semantic labeling, while few focus on obtaining joint semantic motion labeling. In this paper, we propose an approach to infer both the object class and motion status for each pixel of images. First, we extract and match sparse image features to estimate ego-motion between two consecutive stereo images, the result of feature points grouping is used to segment moving object in U-disparity map. Second, a Fully Convolutional Neural Network is employed for semantic segmentation. Moreover, semantic cues are utilized to remove pixels have no potential to be moved in motion mask. Finally, we use a fully connected CRF to integrate motion into semantic segmentation. To validate the effectiveness of the proposed algorithm, we present experimental results with KITTI stereo images that contain moving objects.
The main characteristic of FroBot is the dual-swing-legs propulsion mechanism, and it is necessary for us to conduct a series of experiments to study its propulsion model, both on land and underwater. As the propulsio...
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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.
Since computer system functions are becoming increasingly complex, the user has to spend much more time on the process of seeking information, instead of utilizing the required infor- mation. Information intelligent p...
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Since computer system functions are becoming increasingly complex, the user has to spend much more time on the process of seeking information, instead of utilizing the required infor- mation. Information intelligent push technology could replace the traditional method to speed up the information retrieval process. The fuzzy cognitive map has strong knowledge representation ability and reasoning capability. Information intelligent push with the basis on fuzzy cognitive map could ab- stract the computer user' s operations to a fuzzy cognitive map, and infer the user' s operating inten- tions. The reasoning results will be translated into operational events, and drive the computer system to push appropriate information to the user.
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