This work was supported by National Natural Science Foun- dation of China (Nos. 60905009, 61004032, 61104119, 61174076, and 61172135), and Jiangsu Province Natural Science Foundation (Nos. SBK201240801 and BK20123...
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This work was supported by National Natural Science Foun- dation of China (Nos. 60905009, 61004032, 61104119, 61174076, and 61172135), and Jiangsu Province Natural Science Foundation (Nos. SBK201240801 and BK2012384.)
Supervisory control reconfiguration can handle the uncertainties including resource failures and task changes in discrete event systems. It was not addressed to exploit the robustness of closed-loop systems to accommo...
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This paper considers the problem of attitude synchronization for a group of flexible spacecraft based on distributed attitude cooperative control strategy. Based on the backstepping design, non-smooth control, and the...
This paper considers the problem of attitude synchronization for a group of flexible spacecraft based on distributed attitude cooperative control strategy. Based on the backstepping design, non-smooth control, and the neighbor-based design rule, a distributed attitude control law is constructed step by step. Under the proposed control law, it is shown that the attitude synchronization is achieved asymptotically and the induced vibration by flexible appendages is simultaneously suppressed.
Tracking law designed for future Mars entry missions is investigated in this article. For precision landing, the nonlinear entry dynamics, complex uncertainties and input saturation constraints are unavoidable problem...
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Tracking law designed for future Mars entry missions is investigated in this article. For precision landing, the nonlinear entry dynamics, complex uncertainties and input saturation constraints are unavoidable problems. Facing these challenges, the Mars entry trajectory tracking scheme via constrained multi-model predictive control (CMPC) is employed. The CMPC is made up of some constrained predictive control (CPC) in different time domain during the Mars entry mission. Each constrained predictive controller consists of a linearized prediction model (obtained by linearizing at different operating point), feedback correction for active model mismatch rejection caused by the complex uncertainties, and constrained rolling optimization for a smooth control input under a saturation constraint. Monte Carlo simulations demonstrate the effectiveness and excellence of the proposed method under the saturation constraint of input and uncertainties of initial state and aerodynamic parameters such as atmospheric density, ballistic coefficient and lift-to-drag ratio.
Components of power systems essentially belong to a special class of nonlinear differential-algebraic equations subsystem, whose index is one and interconnection is locally measurable. In this paper, the decentralized...
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In this paper, the design and development of a Building Energy and Environment Monitoring System (BEEMS) for smart campus applications is proposed. The system is implemented based on distributed sensor nodes using Zig...
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With the ubiquity of mobile communication devices,people experiencing traffic jams share real-time information and interact with each other on social media sites,which provide new channels to monitor,estimate and mana...
With the ubiquity of mobile communication devices,people experiencing traffic jams share real-time information and interact with each other on social media sites,which provide new channels to monitor,estimate and manage traffic *** this paper,we use natural language processing and data mining technologies to extract traffic jam related information from ***,analyze the content of people’s talk to discover the "talking point" of people when facing traffic jams,and to provide data support for relevant authorities to make successful and effective decisions for real-time traffic jam response and management.
Finite-time controlsystems usually have better disturbance rejection property and faster convergence performance. For the linearized dynamics of the linear navigation system of an agricultural tractor, a novel contro...
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A monocular vision measurement approach is presented for leader-follower robotic system to estimate the position of the leader robot relative to the follower robot. The color identifier with green and red blocks is at...
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ISBN:
(纸本)9781479939800
A monocular vision measurement approach is presented for leader-follower robotic system to estimate the position of the leader robot relative to the follower robot. The color identifier with green and red blocks is attached on the back of the leader robot, and it may be captured by the camera mounted on the follower robot. A coarse-to-fine searching method is given to extract the center point of the identifier. The parameters of the camera with the combination of the intrinsic and extrinsic ones are calibrated via least square method with given relative positions and the corresponding image coordinates of the identifier's center. The parameters are further optimized with Levenberg-Marquardt method. Then the position of the leader robot relative to the follower robot can be estimated only with single feature point. The experimental results verify the validity of the given approach.
Multi-variable systems widely exist in the practical engineeringcontrolsystems whose performances are always severely interrupted by strong disturbances including unmodeled dynamics, parameter variations, couplings ...
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Multi-variable systems widely exist in the practical engineeringcontrolsystems whose performances are always severely interrupted by strong disturbances including unmodeled dynamics, parameter variations, couplings and external disturbances. Disturbance observer (DOB) is known as an effective technique to estimate disturbances and has been extensively applied for feed-forward compensation design in the presence of disturbances. Yet many disturbance observer techniques in previous literature are just used for single-input-single-output (SISO) systems or the DOBs can be applied in the multi-variable systems, but the DOBs are still SISO DOBs. A decoupled robust multi-input-multi-output neural network disturbance observer (MNNDOB) is designed for the multi-input-multi-output (MIMO) systems. Simulation results on the mixing tank show that the proposed method has better disturbance estimation performance when there are severe model mismatches compared with the MIMO linear disturbance observer.
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