This article considers the problem of directing a family of fully actuated surface vessels to cooperatively follow a set of convex and closed orbits with a time-invariant reference orbital velocity and maintain attitu...
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This article considers the problem of directing a family of fully actuated surface vessels to cooperatively follow a set of convex and closed orbits with a time-invariant reference orbital velocity and maintain attitude synchronization. A consensusbased adaptive control law under a bidirectional communication topology is proposed to estimate the reference orbital velocity so that the restriction that every vessel in the family must have access to the reference in the previous literature can be *** assumption of nonzero total linear speed of each vessel is removed by the use of potential function. Simulation results demonstrate the effectiveness of the proposed approach.
This paper studies distributed filtering problem of homogeneous sensor *** part of sensors can get observations of the process and consensus based filters are *** the distributed detectability and the suboptimal filte...
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ISBN:
(纸本)9781479947249
This paper studies distributed filtering problem of homogeneous sensor *** part of sensors can get observations of the process and consensus based filters are *** the distributed detectability and the suboptimal filter design are *** converting the stability problem of estimation errors of sensors under time-varying topologies to the robust stability problem of some uncertain system,two sufficient distributed detectability conditions are *** is LMI-based and the other is given by the eigenvalues of the process matrix and Laplacian matrices.A suboptimal algorithm to design the consensus based filter gains is proposed and the convergence of the algorithm is *** examples are given to illustrate the results.
In this paper, a novel critic-identifier-actor optimal control scheme is designed for discrete-time affine nonlinear systems with uncertainties. A neural identifier is established to learn the unknown control coeffici...
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In this paper, a novel critic-identifier-actor optimal control scheme is designed for discrete-time affine nonlinear systems with uncertainties. A neural identifier is established to learn the unknown control coefficient matrix for affine nonlinear system working together with an actor-critic-based scheme to solve the optimal control in online and forward-in-time manner without value or policy iterations. A critic network learns approximate value function at each step. Another actor network attempts to improve the current policy based on the approximate value function. The weights of all neural networks (NNs) are updated at each sampling instant. Lyapunov theory is utilized to prove the stability of the closed-loop system. A simulation example is provided to illustrate the effectiveness of the developed method.
In this paper, the speed regulation problem for permanent magnet synchronous motor(PMSM) systems under vector control framework is studied. A modified composite control strategy combining model reference adaptive cont...
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ISBN:
(纸本)9781479947249
In this paper, the speed regulation problem for permanent magnet synchronous motor(PMSM) systems under vector control framework is studied. A modified composite control strategy combining model reference adaptive control(MRAC)method and extended state observer(ESO) technology, called MRAC+ESO method, is proposed. controller is designed for the speed loop of the permanent magnet synchronous motor(PMSM) to improve the performance of the system. The stability analysis, simulation and experimental results are presented to show the effectiveness of the proposed control method.
The delta parallel mechanism has proven to be a very successful parallel robot design and a number of variants have been proposed in the literature. Taking advantage of its simple construction and the intrinsic featur...
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Predicting the travel time in real time is challenging due to dynamic changes of the traffic. With the help of GPS, wireless mobile communication, and big data technologies, several link travel time distribution captu...
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Predicting the travel time in real time is challenging due to dynamic changes of the traffic. With the help of GPS, wireless mobile communication, and big data technologies, several link travel time distribution capturing algorithms have emerged to generate the prediction of the route travel time distribution in short term. In this paper, we propose a data fusion model which can combine the historical and real time distribution to predict the link level travel time distribution. In the model, the route is represented with Markov chain, where the Markov state is identified by the travel time of probe vehicles. Experimental results prove that the proposed method has high accuracy in predicting route travel time distribution, and it is robust in spite of the fluctuation of real-time data.
A new torso design of humanoid robot is proposed as a 3-DOF PKM (Parallel Kinematic Manipulator) structure by using results of a biomimetic analysis of torso in humans and animals. Main characteristics of torso in nat...
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ISBN:
(纸本)9781479970995
A new torso design of humanoid robot is proposed as a 3-DOF PKM (Parallel Kinematic Manipulator) structure by using results of a biomimetic analysis of torso in humans and animals. Main characteristics of torso in nature are presented from which design requirements are outlined for a solution in humanoid robot. The PKM torso is consist of two platforms and four UPU mechanisms. The usefulness of such a biomimetic inspiration is proved by a numerical simulation of the proposed PKM torso in its basic movements.
One of the critical challenges faced by the mainstream data mining community is to make the mined patterns or knowledge actionable. Knowledge is considered actionable if users can take direct actions based on such kno...
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One of the critical challenges faced by the mainstream data mining community is to make the mined patterns or knowledge actionable. Knowledge is considered actionable if users can take direct actions based on such knowledge to their advantage. Among the most important and distinctive actionable knowledge are actionable behavioral rules that can directly and explicitly suggest specific actions to take to influence (restrain or encourage) the behavior in the users' best interest. The problem of mining such rules is a search problem in a framework of support and expected utility. The previous definition of a rule's support assumes that each instance which supports a rule has the uniform contribution to the support. However, this assumption is usually violated in practice to some extent, and thus will hinder the performance of algorithms for mining such rules. In this paper, to handle this problem, an observation-weighting model for support and corresponding mining algorithm are proposed. The experimental results strongly suggest the validity and the superiority of our approach.
As a well-known combinatorial optimization problem, multiple traveling salesman problem (MTSP) fails to characterize some application problems where cities may have different accessibility for some but not necessarily...
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As a well-known combinatorial optimization problem, multiple traveling salesman problem (MTSP) fails to characterize some application problems where cities may have different accessibility for some but not necessarily all salesmen. This work proposes a colored traveling salesman problem (CTSP) in which a city has one to multiple colors allowing any salesman with the same color to visit. It presents a decomposition approach that converts CTSP into a combination of several individual traveling salesman problems (TSPs) and one MTSP for an important class of CTSP. To solve the transformed one, this work proposes a modified greedy algorithm allowing multi-colored city assignment during city search and adopts the formerly presented simulated annealing genetic algorithm. A dual-bridge waterjet cutting example is utilized to compare the presented decomposition approach and direct one. The results show that the former can achieve a better solution than the latter if the cities of same color(s) are clumped.
This paper introduces the similarity evaluation on humanoid facial expression. For the purpose of understanding easily, firstly, the process of designing humanoid robot's facial expressions is explored in brief. T...
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ISBN:
(纸本)9781479970995
This paper introduces the similarity evaluation on humanoid facial expression. For the purpose of understanding easily, firstly, the process of designing humanoid robot's facial expressions is explored in brief. Then, a similarity function is proposed to evaluate the similarity of the robot facial motion compared with the human being quantitatively based on both the kinematics and dynamics factors, also including how to select the key value of parameter in similarity function. Finally, the effectiveness of the similarity function is confirmed by an experiment of facial expressions based on BHR-4 robot.
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