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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In this paper, we consider a class of second-order uncertain nonlinear systems. Besides parametric uncertainties, a non-parametric uncertainty may exist in every state equation or channel with its effects bounded by a...
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The plasma shape control plays an important role in Tokamak operation. With the purpose of improving the control capacity and performance, as well as system efficiency, we start the development of system identificatio...
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ISBN:
(纸本)9781479947249
The plasma shape control plays an important role in Tokamak operation. With the purpose of improving the control capacity and performance, as well as system efficiency, we start the development of system identification on EAST(Experimental Advanced Superconducting Tokamak). On the basis of ISOFLUX principle employed on EAST, we attempt to build up a control-oriented model. By comparison, we adapt PEM(Prediction-Error-Methods). The corresponding procedure and result are presented.
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.
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.
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.
In this work, a state estimation problem is considered for a hidden Markov model subject to event-based sensor measurement updates sent through a reliable communication channel. The change of probability approach is u...
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ISBN:
(纸本)9781467374439
In this work, a state estimation problem is considered for a hidden Markov model subject to event-based sensor measurement updates sent through a reliable communication channel. The change of probability approach is utilized to consider the estimation problem, and an analytical expression for the probability distributions of the states conditioned on all the past hybrid point- and set-valued measurement information caused by the event-triggering scheme is obtained. Also, it is shown that the scenario with a lossy channel, but without the event-trigger, can be treated as a special case of the reliable channel results,and thus can be solved by applying the proposed results.
A selective moving window partial least squares(SMW-PLS) soft sensor was proposed in this paper and applied to a hydro-isomerization process for on-line estimation of para-xylene(PX) content. Aiming at the high freque...
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A selective moving window partial least squares(SMW-PLS) soft sensor was proposed in this paper and applied to a hydro-isomerization process for on-line estimation of para-xylene(PX) content. Aiming at the high frequency of model updating in previous recursive PLS methods, a selective updating strategy was developed. The model adaptation is activated once the prediction error is larger than a preset threshold, or the model is kept *** a result, the frequency of model updating is reduced greatly, while the change of prediction accuracy is *** performance of the proposed model is better as compared with that of other PLS-based model. The compromise between prediction accuracy and real-time performance can be obtained by regulating the threshold. The guidelines to determine the model parameters are illustrated. In summary, the proposed SMW-PLS method can deal with the slow time-varying processes effectively.
The studies on the controllability of complex networks popularly existing in natural, social and man-made engineered systems have been a critical and attractive subject for both academic and practical communities. To ...
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The studies on the controllability of complex networks popularly existing in natural, social and man-made engineered systems have been a critical and attractive subject for both academic and practical communities. To design and maintain a networked system under control, it is vital to explore the mechanism and relationship between the network layout and its controllability. For a fully-controlled complex system, potential malicious attacks and/or random failures will lead to the damage of its internal structure, such as the breakdown of certain control nodes or the loss of the links between state nodes. In this paper, we first introduce the concept of degree of controllability to quantify the control level of the networks. And for the networks whose degree of controllability is not full, we propose two novel optimal recovering strategies, OAN (short for optimal adding-node) strategy and OAE (short for optimal adding-edge) strategy, to repair their controllability. The results of experiments conducted on the various real and model networks demonstrate the effectiveness of these two strategies and the better performance compared to their randomized counterparts, RAN (short for randomized adding-node) strategy and RAE (short for randomized adding-edge) strategy.
Traditional optimization of production system and utility system is carried out separately which cannot ensure that the entire refinery system is optimized globally. In this paper, a novel integrated approach is propo...
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Traditional optimization of production system and utility system is carried out separately which cannot ensure that the entire refinery system is optimized globally. In this paper, a novel integrated approach is proposed to optimize process production planning and utility system operation simultaneously. A refinery-wide mixed integer nonlinear programming model is proposed and the traditional method and improved integrated method are compared. A real industrial example is conducted to demonstrate the effect of the proposed mathematical model. The results suggest that the integrated approach can provide not only significant benefits but also better energy utilization.
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